diff --git a/docs/_posts/ahmedlone127/2024-09-04-sent_tiny_biobert_en.md b/docs/_posts/ahmedlone127/2024-09-04-sent_tiny_biobert_en.md
new file mode 100644
index 00000000000000..541d3ddeb29bf0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-sent_tiny_biobert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_tiny_biobert BertSentenceEmbeddings from nlpie
+author: John Snow Labs
+name: sent_tiny_biobert
+date: 2024-09-04
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_tiny_biobert` is a English model originally trained by nlpie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_tiny_biobert_en_5.5.0_3.0_1725454293294.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_tiny_biobert_en_5.5.0_3.0_1725454293294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_tiny_biobert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|51.9 MB|
+
+## References
+
+https://huggingface.co/nlpie/tiny-biobert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-xlm_roberta_base_tweet_sentiment_portuguese_trimmed_portuguese_15000_en.md b/docs/_posts/ahmedlone127/2024-09-04-xlm_roberta_base_tweet_sentiment_portuguese_trimmed_portuguese_15000_en.md
new file mode 100644
index 00000000000000..e58752f63054d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-xlm_roberta_base_tweet_sentiment_portuguese_trimmed_portuguese_15000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_tweet_sentiment_portuguese_trimmed_portuguese_15000 XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_tweet_sentiment_portuguese_trimmed_portuguese_15000
+date: 2024-09-04
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_tweet_sentiment_portuguese_trimmed_portuguese_15000` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_tweet_sentiment_portuguese_trimmed_portuguese_15000_en_5.5.0_3.0_1725410232175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_tweet_sentiment_portuguese_trimmed_portuguese_15000_en_5.5.0_3.0_1725410232175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_tweet_sentiment_portuguese_trimmed_portuguese_15000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|358.2 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-pt-trimmed-pt-15000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-bert_finetuned_ner_july_en.md b/docs/_posts/ahmedlone127/2024-09-05-bert_finetuned_ner_july_en.md
new file mode 100644
index 00000000000000..7b2d708b5657e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-bert_finetuned_ner_july_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_july DistilBertForTokenClassification from Amhyr
+author: John Snow Labs
+name: bert_finetuned_ner_july
+date: 2024-09-05
+tags: [en, open_source, onnx, token_classification, distilbert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_july` is a English model originally trained by Amhyr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_july_en_5.5.0_3.0_1725506530169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_july_en_5.5.0_3.0_1725506530169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|darijabert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|ar|
+|Size:|551.5 MB|
+
+## References
+
+https://huggingface.co/SI2M-Lab/DarijaBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-finetuning_emotion_model_purushothama_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-finetuning_emotion_model_purushothama_pipeline_en.md
new file mode 100644
index 00000000000000..8ebe7feaee9f3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-finetuning_emotion_model_purushothama_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_emotion_model_purushothama_pipeline pipeline DistilBertForSequenceClassification from Purushothama
+author: John Snow Labs
+name: finetuning_emotion_model_purushothama_pipeline
+date: 2024-09-05
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_purushothama_pipeline` is a English model originally trained by Purushothama.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_purushothama_pipeline_en_5.5.0_3.0_1725507702704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_purushothama_pipeline_en_5.5.0_3.0_1725507702704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_emotion_model_purushothama_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_emotion_model_purushothama_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_emotion_model_purushothama_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Purushothama/finetuning-emotion-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_european_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_european_pipeline_en.md
new file mode 100644
index 00000000000000..898a35c4f3834e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_european_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_european_pipeline pipeline MarianTransformer from himanshubeniwal
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_european_pipeline
+date: 2024-09-05
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_european_pipeline` is a English model originally trained by himanshubeniwal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_european_pipeline_en_5.5.0_3.0_1725546188832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_european_pipeline_en_5.5.0_3.0_1725546188832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_european_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_european_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_european_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/himanshubeniwal/opus-mt-en-ro-finetuned-ro-to-en-European
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-complaints_classifier_jpsteinhafel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-complaints_classifier_jpsteinhafel_pipeline_en.md
new file mode 100644
index 00000000000000..4f4462b01c62c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-complaints_classifier_jpsteinhafel_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English complaints_classifier_jpsteinhafel_pipeline pipeline DistilBertForSequenceClassification from jpsteinhafel
+author: John Snow Labs
+name: complaints_classifier_jpsteinhafel_pipeline
+date: 2024-09-06
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`complaints_classifier_jpsteinhafel_pipeline` is a English model originally trained by jpsteinhafel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/complaints_classifier_jpsteinhafel_pipeline_en_5.5.0_3.0_1725608160763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/complaints_classifier_jpsteinhafel_pipeline_en_5.5.0_3.0_1725608160763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("complaints_classifier_jpsteinhafel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("complaints_classifier_jpsteinhafel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|complaints_classifier_jpsteinhafel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jpsteinhafel/complaints_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-distibert_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-distibert_ner_pipeline_en.md
new file mode 100644
index 00000000000000..d8b7b96dd88c2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-distibert_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distibert_ner_pipeline pipeline DistilBertForTokenClassification from satyamrajawat1994
+author: John Snow Labs
+name: distibert_ner_pipeline
+date: 2024-09-06
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distibert_ner_pipeline` is a English model originally trained by satyamrajawat1994.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distibert_ner_pipeline_en_5.5.0_3.0_1725599516402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distibert_ner_pipeline_en_5.5.0_3.0_1725599516402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distibert_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distibert_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distibert_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/satyamrajawat1994/distibert-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_d5716d28_mbateman_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_d5716d28_mbateman_pipeline_en.md
new file mode 100644
index 00000000000000..2aa2bf376b662c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_d5716d28_mbateman_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_mbateman_pipeline pipeline DistilBertForQuestionAnswering from mbateman
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_mbateman_pipeline
+date: 2024-09-06
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_mbateman_pipeline` is a English model originally trained by mbateman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_mbateman_pipeline_en_5.5.0_3.0_1725652836285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_mbateman_pipeline_en_5.5.0_3.0_1725652836285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_mbateman_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_mbateman_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_mbateman_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mbateman/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-distilbert_tokenizer_256k_mlm_750k_en.md b/docs/_posts/ahmedlone127/2024-09-06-distilbert_tokenizer_256k_mlm_750k_en.md
new file mode 100644
index 00000000000000..0abfe057e23f65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-distilbert_tokenizer_256k_mlm_750k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_tokenizer_256k_mlm_750k DistilBertEmbeddings from vocab-transformers
+author: John Snow Labs
+name: distilbert_tokenizer_256k_mlm_750k
+date: 2024-09-06
+tags: [en, open_source, onnx, embeddings, distilbert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_tokenizer_256k_mlm_750k` is a English model originally trained by vocab-transformers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_tokenizer_256k_mlm_750k_en_5.5.0_3.0_1725639754885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_tokenizer_256k_mlm_750k_en_5.5.0_3.0_1725639754885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_model3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/sumittagadiya/qa_model3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-roberta_classifier_large_finetuned_clinc_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-roberta_classifier_large_finetuned_clinc_1_pipeline_en.md
new file mode 100644
index 00000000000000..e8837a9f7d3821
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-roberta_classifier_large_finetuned_clinc_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_classifier_large_finetuned_clinc_1_pipeline pipeline RoBertaForSequenceClassification from lewtun
+author: John Snow Labs
+name: roberta_classifier_large_finetuned_clinc_1_pipeline
+date: 2024-09-06
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_classifier_large_finetuned_clinc_1_pipeline` is a English model originally trained by lewtun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_classifier_large_finetuned_clinc_1_pipeline_en_5.5.0_3.0_1725613321492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_classifier_large_finetuned_clinc_1_pipeline_en_5.5.0_3.0_1725613321492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_classifier_large_finetuned_clinc_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_classifier_large_finetuned_clinc_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_classifier_large_finetuned_clinc_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/lewtun/roberta-large-finetuned-clinc-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-tab_anonymizer_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-tab_anonymizer_v2_pipeline_en.md
new file mode 100644
index 00000000000000..5c1412dcd7bdf1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-tab_anonymizer_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tab_anonymizer_v2_pipeline pipeline DistilBertForTokenClassification from madaanpulkit
+author: John Snow Labs
+name: tab_anonymizer_v2_pipeline
+date: 2024-09-06
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tab_anonymizer_v2_pipeline` is a English model originally trained by madaanpulkit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tab_anonymizer_v2_pipeline_en_5.5.0_3.0_1725599112827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tab_anonymizer_v2_pipeline_en_5.5.0_3.0_1725599112827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tab_anonymizer_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tab_anonymizer_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tab_anonymizer_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.4 MB|
+
+## References
+
+https://huggingface.co/madaanpulkit/tab-anonymizer-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-whisper_small_english_accented_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-whisper_small_english_accented_pipeline_en.md
new file mode 100644
index 00000000000000..5b21f7b5371152
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-whisper_small_english_accented_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_english_accented_pipeline pipeline WhisperForCTC from Abdo96
+author: John Snow Labs
+name: whisper_small_english_accented_pipeline
+date: 2024-09-06
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_english_accented_pipeline` is a English model originally trained by Abdo96.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_english_accented_pipeline_en_5.5.0_3.0_1725643691362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_english_accented_pipeline_en_5.5.0_3.0_1725643691362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_english_accented_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_english_accented_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_english_accented_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Abdo96/whisper-small-en-accented
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-bsc_bio_ehr_spanish_combined_train_drugtemist_dev_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-bsc_bio_ehr_spanish_combined_train_drugtemist_dev_ner_pipeline_en.md
new file mode 100644
index 00000000000000..b7010dea9f20b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-bsc_bio_ehr_spanish_combined_train_drugtemist_dev_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bsc_bio_ehr_spanish_combined_train_drugtemist_dev_ner_pipeline pipeline RoBertaForTokenClassification from Rodrigo1771
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_combined_train_drugtemist_dev_ner_pipeline
+date: 2024-09-07
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_combined_train_drugtemist_dev_ner_pipeline` is a English model originally trained by Rodrigo1771.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_combined_train_drugtemist_dev_ner_pipeline_en_5.5.0_3.0_1725668614321.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_combined_train_drugtemist_dev_ner_pipeline_en_5.5.0_3.0_1725668614321.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bsc_bio_ehr_spanish_combined_train_drugtemist_dev_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bsc_bio_ehr_spanish_combined_train_drugtemist_dev_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_combined_train_drugtemist_dev_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|440.5 MB|
+
+## References
+
+https://huggingface.co/Rodrigo1771/bsc-bio-ehr-es-combined-train-drugtemist-dev-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_model_zaizhou57_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_model_zaizhou57_pipeline_en.md
new file mode 100644
index 00000000000000..83ee0fc79733ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_model_zaizhou57_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_zaizhou57_pipeline pipeline DistilBertForSequenceClassification from zaizhou57
+author: John Snow Labs
+name: burmese_awesome_model_zaizhou57_pipeline
+date: 2024-09-07
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_zaizhou57_pipeline` is a English model originally trained by zaizhou57.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zaizhou57_pipeline_en_5.5.0_3.0_1725675047340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zaizhou57_pipeline_en_5.5.0_3.0_1725675047340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_zaizhou57_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_zaizhou57_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_zaizhou57_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/zaizhou57/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_reza2002_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_reza2002_en.md
new file mode 100644
index 00000000000000..bb8c15f90b59a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_reza2002_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_reza2002 DistilBertForQuestionAnswering from Reza2002
+author: John Snow Labs
+name: burmese_awesome_qa_model_reza2002
+date: 2024-09-07
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_reza2002` is a English model originally trained by Reza2002.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_reza2002_en_5.5.0_3.0_1725736281303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_reza2002_en_5.5.0_3.0_1725736281303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_reza2002|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Reza2002/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_jgtg_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_jgtg_en.md
new file mode 100644
index 00000000000000..1ac345c30db98e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_jgtg_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_wnut_jgtg DistilBertForTokenClassification from gonzalezrostani
+author: John Snow Labs
+name: burmese_awesome_wnut_jgtg
+date: 2024-09-07
+tags: [en, open_source, onnx, token_classification, distilbert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_jgtg` is a English model originally trained by gonzalezrostani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_jgtg_en_5.5.0_3.0_1725730237475.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_jgtg_en_5.5.0_3.0_1725730237475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_jgtg|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/gonzalezrostani/my_awesome_wnut_JGTg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_ner_model_veronica1608_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_ner_model_veronica1608_pipeline_en.md
new file mode 100644
index 00000000000000..c2087e1f612531
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_ner_model_veronica1608_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_ner_model_veronica1608_pipeline pipeline DistilBertForTokenClassification from veronica1608
+author: John Snow Labs
+name: burmese_ner_model_veronica1608_pipeline
+date: 2024-09-07
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_ner_model_veronica1608_pipeline` is a English model originally trained by veronica1608.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_ner_model_veronica1608_pipeline_en_5.5.0_3.0_1725730786824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_ner_model_veronica1608_pipeline_en_5.5.0_3.0_1725730786824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_ner_model_veronica1608_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_ner_model_veronica1608_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_ner_model_veronica1608_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/veronica1608/my_ner_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_perriewang_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_perriewang_en.md
new file mode 100644
index 00000000000000..b280cf78928a11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_perriewang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_perriewang DistilBertForTokenClassification from Perriewang
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_perriewang
+date: 2024-09-07
+tags: [en, open_source, onnx, token_classification, distilbert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_perriewang` is a English model originally trained by Perriewang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_perriewang_en_5.5.0_3.0_1725730700245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_perriewang_en_5.5.0_3.0_1725730700245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_perriewang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Perriewang/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_imdb_deborahm_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_imdb_deborahm_en.md
new file mode 100644
index 00000000000000..6bb64eecb2ba85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_imdb_deborahm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_imdb_deborahm DistilBertForSequenceClassification from deborahm
+author: John Snow Labs
+name: distilbert_imdb_deborahm
+date: 2024-09-07
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_deborahm` is a English model originally trained by deborahm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_deborahm_en_5.5.0_3.0_1725674740208.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_deborahm_en_5.5.0_3.0_1725674740208.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lld_valbadia_ita_loresmt_l4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|it|
+|Size:|410.4 MB|
+
+## References
+
+https://huggingface.co/sfrontull/lld_valbadia-ita-loresmt-L4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-opendispatcher_v3_gpt35turbo_and_gpt4_en.md b/docs/_posts/ahmedlone127/2024-09-07-opendispatcher_v3_gpt35turbo_and_gpt4_en.md
new file mode 100644
index 00000000000000..ad9858d37bb570
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-opendispatcher_v3_gpt35turbo_and_gpt4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opendispatcher_v3_gpt35turbo_and_gpt4 DistilBertForSequenceClassification from gaodrew
+author: John Snow Labs
+name: opendispatcher_v3_gpt35turbo_and_gpt4
+date: 2024-09-07
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opendispatcher_v3_gpt35turbo_and_gpt4` is a English model originally trained by gaodrew.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opendispatcher_v3_gpt35turbo_and_gpt4_en_5.5.0_3.0_1725674771769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opendispatcher_v3_gpt35turbo_and_gpt4_en_5.5.0_3.0_1725674771769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translatear_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|527.9 MB|
+
+## References
+
+https://huggingface.co/shahad-alh/translateAR_EN
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_all_photonmz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_all_photonmz_pipeline_en.md
new file mode 100644
index 00000000000000..1313739e8de208
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_all_photonmz_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_photonmz_pipeline pipeline XlmRoBertaForTokenClassification from photonmz
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_photonmz_pipeline
+date: 2024-09-07
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_photonmz_pipeline` is a English model originally trained by photonmz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_photonmz_pipeline_en_5.5.0_3.0_1725743564681.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_photonmz_pipeline_en_5.5.0_3.0_1725743564681.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_photonmz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_photonmz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_photonmz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.9 MB|
+
+## References
+
+https://huggingface.co/photonmz/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_french_jfmatos_isq_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_french_jfmatos_isq_en.md
new file mode 100644
index 00000000000000..656b26db801b15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_french_jfmatos_isq_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_jfmatos_isq XlmRoBertaForTokenClassification from jfmatos-isq
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_jfmatos_isq
+date: 2024-09-07
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_jfmatos_isq` is a English model originally trained by jfmatos-isq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_jfmatos_isq_en_5.5.0_3.0_1725704493586.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_jfmatos_isq_en_5.5.0_3.0_1725704493586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_jfmatos_isq|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/jfmatos-isq/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_gonalb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_gonalb_pipeline_en.md
new file mode 100644
index 00000000000000..87afd5f4a17caf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_gonalb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_gonalb_pipeline pipeline XlmRoBertaForTokenClassification from Gonalb
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_gonalb_pipeline
+date: 2024-09-07
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_gonalb_pipeline` is a English model originally trained by Gonalb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_gonalb_pipeline_en_5.5.0_3.0_1725705315767.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_gonalb_pipeline_en_5.5.0_3.0_1725705315767.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_gonalb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_gonalb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_gonalb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/Gonalb/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_monkdalma_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_monkdalma_en.md
new file mode 100644
index 00000000000000..6510d6122128fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_monkdalma_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_monkdalma XlmRoBertaForTokenClassification from MonkDalma
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_monkdalma
+date: 2024-09-07
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_monkdalma` is a English model originally trained by MonkDalma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_monkdalma_en_5.5.0_3.0_1725704223811.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_monkdalma_en_5.5.0_3.0_1725704223811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_monkdalma|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/MonkDalma/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-abhi11_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-abhi11_model_pipeline_en.md
new file mode 100644
index 00000000000000..d40e45bd2ac5a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-abhi11_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English abhi11_model_pipeline pipeline CamemBertEmbeddings from ABHIiiii1
+author: John Snow Labs
+name: abhi11_model_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`abhi11_model_pipeline` is a English model originally trained by ABHIiiii1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/abhi11_model_pipeline_en_5.5.0_3.0_1725786584186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/abhi11_model_pipeline_en_5.5.0_3.0_1725786584186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("abhi11_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("abhi11_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|abhi11_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/ABHIiiii1/abhi11-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_finetuned_en.md
new file mode 100644
index 00000000000000..5ef7eb93b51980
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_finetuned_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English all_mpnet_base_v2_finetuned MPNetEmbeddings from DashReza7
+author: John Snow Labs
+name: all_mpnet_base_v2_finetuned
+date: 2024-09-08
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_mpnet_base_v2_finetuned` is a English model originally trained by DashReza7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_finetuned_en_5.5.0_3.0_1725816704396.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_finetuned_en_5.5.0_3.0_1725816704396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/DashReza7/all-mpnet-base-v2_FINETUNED
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-analisis_sentimientos_beto_tass_c_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-analisis_sentimientos_beto_tass_c_pipeline_en.md
new file mode 100644
index 00000000000000..bfd16cf164ff30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-analisis_sentimientos_beto_tass_c_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English analisis_sentimientos_beto_tass_c_pipeline pipeline BertForSequenceClassification from raulgdp
+author: John Snow Labs
+name: analisis_sentimientos_beto_tass_c_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`analisis_sentimientos_beto_tass_c_pipeline` is a English model originally trained by raulgdp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/analisis_sentimientos_beto_tass_c_pipeline_en_5.5.0_3.0_1725767889756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/analisis_sentimientos_beto_tass_c_pipeline_en_5.5.0_3.0_1725767889756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("analisis_sentimientos_beto_tass_c_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("analisis_sentimientos_beto_tass_c_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|analisis_sentimientos_beto_tass_c_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/raulgdp/Analisis-sentimientos-BETO-TASS-C
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-arabert_mini_algerian_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-08-arabert_mini_algerian_pipeline_ar.md
new file mode 100644
index 00000000000000..3d8cea5411c327
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-arabert_mini_algerian_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic arabert_mini_algerian_pipeline pipeline BertForSequenceClassification from Abdou
+author: John Snow Labs
+name: arabert_mini_algerian_pipeline
+date: 2024-09-08
+tags: [ar, open_source, pipeline, onnx]
+task: Text Classification
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arabert_mini_algerian_pipeline` is a Arabic model originally trained by Abdou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabert_mini_algerian_pipeline_ar_5.5.0_3.0_1725839247964.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabert_mini_algerian_pipeline_ar_5.5.0_3.0_1725839247964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("arabert_mini_algerian_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("arabert_mini_algerian_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabert_mini_algerian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|43.6 MB|
+
+## References
+
+https://huggingface.co/Abdou/arabert-mini-algerian
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bcms_bertic_parlasent_bcs_ter_hr.md b/docs/_posts/ahmedlone127/2024-09-08-bcms_bertic_parlasent_bcs_ter_hr.md
new file mode 100644
index 00000000000000..5908919e28d9b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bcms_bertic_parlasent_bcs_ter_hr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Croatian bcms_bertic_parlasent_bcs_ter BertForSequenceClassification from classla
+author: John Snow Labs
+name: bcms_bertic_parlasent_bcs_ter
+date: 2024-09-08
+tags: [hr, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: hr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bcms_bertic_parlasent_bcs_ter` is a Croatian model originally trained by classla.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bcms_bertic_parlasent_bcs_ter_hr_5.5.0_3.0_1725826054539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bcms_bertic_parlasent_bcs_ter_hr_5.5.0_3.0_1725826054539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bcms_bertic_parlasent_bcs_ter|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|hr|
+|Size:|414.9 MB|
+
+## References
+
+https://huggingface.co/classla/bcms-bertic-parlasent-bcs-ter
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bert_large_uncased_mrpc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-bert_large_uncased_mrpc_pipeline_en.md
new file mode 100644
index 00000000000000..c0c21df4cf178b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bert_large_uncased_mrpc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_uncased_mrpc_pipeline pipeline BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_large_uncased_mrpc_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_mrpc_pipeline` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_mrpc_pipeline_en_5.5.0_3.0_1725801980637.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_mrpc_pipeline_en_5.5.0_3.0_1725801980637.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_mrpc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_mrpc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_mrpc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-large-uncased-mrpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_alinadevkota_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_alinadevkota_pipeline_en.md
new file mode 100644
index 00000000000000..92e6945dec5413
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_alinadevkota_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_alinadevkota_pipeline pipeline DistilBertForQuestionAnswering from alinadevkota
+author: John Snow Labs
+name: burmese_awesome_qa_model_alinadevkota_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_alinadevkota_pipeline` is a English model originally trained by alinadevkota.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_alinadevkota_pipeline_en_5.5.0_3.0_1725798313953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_alinadevkota_pipeline_en_5.5.0_3.0_1725798313953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_alinadevkota_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_alinadevkota_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_alinadevkota_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/alinadevkota/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-cls_model_en.md b/docs/_posts/ahmedlone127/2024-09-08-cls_model_en.md
new file mode 100644
index 00000000000000..131648c331574a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-cls_model_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English cls_model MPNetEmbeddings from maneprajakta
+author: John Snow Labs
+name: cls_model
+date: 2024-09-08
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cls_model` is a English model originally trained by maneprajakta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cls_model_en_5.5.0_3.0_1725816841868.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cls_model_en_5.5.0_3.0_1725816841868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cls_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/maneprajakta/cls_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_xsmall_survey_nepal_bhasa_fact_main_passage_rater_en.md b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_xsmall_survey_nepal_bhasa_fact_main_passage_rater_en.md
new file mode 100644
index 00000000000000..c8be7c69cd8c6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_xsmall_survey_nepal_bhasa_fact_main_passage_rater_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_xsmall_survey_nepal_bhasa_fact_main_passage_rater DeBertaForSequenceClassification from domenicrosati
+author: John Snow Labs
+name: deberta_v3_xsmall_survey_nepal_bhasa_fact_main_passage_rater
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_xsmall_survey_nepal_bhasa_fact_main_passage_rater` is a English model originally trained by domenicrosati.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_xsmall_survey_nepal_bhasa_fact_main_passage_rater_en_5.5.0_3.0_1725804348690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_xsmall_survey_nepal_bhasa_fact_main_passage_rater_en_5.5.0_3.0_1725804348690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_xsmall_survey_nepal_bhasa_fact_main_passage_rater|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|224.9 MB|
+
+## References
+
+https://huggingface.co/domenicrosati/deberta-v3-xsmall-survey-new_fact_main_passage-rater
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_cola_lmajer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_cola_lmajer_pipeline_en.md
new file mode 100644
index 00000000000000..328356fc0fa3da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_cola_lmajer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_lmajer_pipeline pipeline DistilBertForSequenceClassification from lmajer
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_lmajer_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_lmajer_pipeline` is a English model originally trained by lmajer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_lmajer_pipeline_en_5.5.0_3.0_1725774761491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_lmajer_pipeline_en_5.5.0_3.0_1725774761491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_lmajer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_lmajer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_lmajer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lmajer/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_heclope_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_heclope_pipeline_en.md
new file mode 100644
index 00000000000000..e192321da859cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_heclope_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_heclope_pipeline pipeline DistilBertForTokenClassification from heclope
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_heclope_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_heclope_pipeline` is a English model originally trained by heclope.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_heclope_pipeline_en_5.5.0_3.0_1725788759115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_heclope_pipeline_en_5.5.0_3.0_1725788759115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_ner_heclope_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_ner_heclope_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_heclope_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/heclope/distilbert-base-uncased-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_squad_hfyutojp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_squad_hfyutojp_pipeline_en.md
new file mode 100644
index 00000000000000..7668666e49cb0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_squad_hfyutojp_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_hfyutojp_pipeline pipeline DistilBertForQuestionAnswering from hfyutojp
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_hfyutojp_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_hfyutojp_pipeline` is a English model originally trained by hfyutojp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_hfyutojp_pipeline_en_5.5.0_3.0_1725798140735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_hfyutojp_pipeline_en_5.5.0_3.0_1725798140735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_hfyutojp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_hfyutojp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_hfyutojp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/hfyutojp/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-dummy_model_botmync_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_botmync_pipeline_en.md
new file mode 100644
index 00000000000000..b84c26c8c3c45d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_botmync_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_botmync_pipeline pipeline CamemBertEmbeddings from botMync
+author: John Snow Labs
+name: dummy_model_botmync_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_botmync_pipeline` is a English model originally trained by botMync.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_botmync_pipeline_en_5.5.0_3.0_1725835822437.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_botmync_pipeline_en_5.5.0_3.0_1725835822437.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_botmync_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_botmync_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_botmync_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/botMync/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-dummy_model_cwtmyd_en.md b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_cwtmyd_en.md
new file mode 100644
index 00000000000000..91a324c2871c65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_cwtmyd_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_cwtmyd CamemBertEmbeddings from cwtmyd
+author: John Snow Labs
+name: dummy_model_cwtmyd
+date: 2024-09-08
+tags: [en, open_source, onnx, embeddings, camembert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CamemBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CamemBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_cwtmyd` is a English model originally trained by cwtmyd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_cwtmyd_en_5.5.0_3.0_1725786907121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_cwtmyd_en_5.5.0_3.0_1725786907121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_katster|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[camembert]|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/Katster/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-english_vietnamese_maltese_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-english_vietnamese_maltese_model_pipeline_en.md
new file mode 100644
index 00000000000000..8862e29a444b11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-english_vietnamese_maltese_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English english_vietnamese_maltese_model_pipeline pipeline MarianTransformer from haotieu
+author: John Snow Labs
+name: english_vietnamese_maltese_model_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`english_vietnamese_maltese_model_pipeline` is a English model originally trained by haotieu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_vietnamese_maltese_model_pipeline_en_5.5.0_3.0_1725795287535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_vietnamese_maltese_model_pipeline_en_5.5.0_3.0_1725795287535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("english_vietnamese_maltese_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("english_vietnamese_maltese_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_vietnamese_maltese_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|475.1 MB|
+
+## References
+
+https://huggingface.co/haotieu/en-vi-mt-model
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-helsinki_english_spanish_fine_tune_opus100_en.md b/docs/_posts/ahmedlone127/2024-09-08-helsinki_english_spanish_fine_tune_opus100_en.md
new file mode 100644
index 00000000000000..608482d1800886
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-helsinki_english_spanish_fine_tune_opus100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English helsinki_english_spanish_fine_tune_opus100 MarianTransformer from beanslmao
+author: John Snow Labs
+name: helsinki_english_spanish_fine_tune_opus100
+date: 2024-09-08
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`helsinki_english_spanish_fine_tune_opus100` is a English model originally trained by beanslmao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helsinki_english_spanish_fine_tune_opus100_en_5.5.0_3.0_1725839842494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helsinki_english_spanish_fine_tune_opus100_en_5.5.0_3.0_1725839842494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helsinki_english_spanish_fine_tune_opus100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|539.9 MB|
+
+## References
+
+https://huggingface.co/beanslmao/helsinki-en-es-fine-tune-opus100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-horai_medium_10k_v7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-horai_medium_10k_v7_pipeline_en.md
new file mode 100644
index 00000000000000..9226cda4e9b033
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-horai_medium_10k_v7_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English horai_medium_10k_v7_pipeline pipeline RoBertaForSequenceClassification from stealthwriter
+author: John Snow Labs
+name: horai_medium_10k_v7_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`horai_medium_10k_v7_pipeline` is a English model originally trained by stealthwriter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/horai_medium_10k_v7_pipeline_en_5.5.0_3.0_1725830485657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/horai_medium_10k_v7_pipeline_en_5.5.0_3.0_1725830485657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("horai_medium_10k_v7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("horai_medium_10k_v7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|horai_medium_10k_v7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|439.0 MB|
+
+## References
+
+https://huggingface.co/stealthwriter/HorAI-medium-10k-V7
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-lab1_finetuning_twobjohn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-lab1_finetuning_twobjohn_pipeline_en.md
new file mode 100644
index 00000000000000..1d8c4018ea60cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-lab1_finetuning_twobjohn_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lab1_finetuning_twobjohn_pipeline pipeline MarianTransformer from TwoBJohn
+author: John Snow Labs
+name: lab1_finetuning_twobjohn_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab1_finetuning_twobjohn_pipeline` is a English model originally trained by TwoBJohn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_finetuning_twobjohn_pipeline_en_5.5.0_3.0_1725824337759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_finetuning_twobjohn_pipeline_en_5.5.0_3.0_1725824337759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lab1_finetuning_twobjohn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lab1_finetuning_twobjohn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_finetuning_twobjohn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.8 MB|
+
+## References
+
+https://huggingface.co/TwoBJohn/lab1_finetuning
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_combined_dataset_substituted_1_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_combined_dataset_substituted_1_1_pipeline_en.md
new file mode 100644
index 00000000000000..aff2502d875e98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_combined_dataset_substituted_1_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_combined_dataset_substituted_1_1_pipeline pipeline MarianTransformer from kalcho100
+author: John Snow Labs
+name: marian_finetuned_combined_dataset_substituted_1_1_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_combined_dataset_substituted_1_1_pipeline` is a English model originally trained by kalcho100.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_combined_dataset_substituted_1_1_pipeline_en_5.5.0_3.0_1725832421666.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_combined_dataset_substituted_1_1_pipeline_en_5.5.0_3.0_1725832421666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_combined_dataset_substituted_1_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_combined_dataset_substituted_1_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_combined_dataset_substituted_1_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|548.3 MB|
+
+## References
+
+https://huggingface.co/kalcho100/Marian-finetuned_combined_dataset_substituted_1_1
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-mdeberta_v3_base_cantemist_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-08-mdeberta_v3_base_cantemist_pipeline_es.md
new file mode 100644
index 00000000000000..362ebaeb9cd70a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-mdeberta_v3_base_cantemist_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish mdeberta_v3_base_cantemist_pipeline pipeline DeBertaForSequenceClassification from IIC
+author: John Snow Labs
+name: mdeberta_v3_base_cantemist_pipeline
+date: 2024-09-08
+tags: [es, open_source, pipeline, onnx]
+task: Text Classification
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mdeberta_v3_base_cantemist_pipeline` is a Castilian, Spanish model originally trained by IIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mdeberta_v3_base_cantemist_pipeline_es_5.5.0_3.0_1725811779468.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mdeberta_v3_base_cantemist_pipeline_es_5.5.0_3.0_1725811779468.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mdeberta_v3_base_cantemist_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mdeberta_v3_base_cantemist_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mdeberta_v3_base_cantemist_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|799.8 MB|
+
+## References
+
+https://huggingface.co/IIC/mdeberta-v3-base-cantemist
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_french_wmt14_english_french_1million_20epochs_v2_nan.md b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_french_wmt14_english_french_1million_20epochs_v2_nan.md
new file mode 100644
index 00000000000000..1019bf516b8880
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_french_wmt14_english_french_1million_20epochs_v2_nan.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: None opus_maltese_english_french_wmt14_english_french_1million_20epochs_v2 MarianTransformer from sriram-sanjeev9s
+author: John Snow Labs
+name: opus_maltese_english_french_wmt14_english_french_1million_20epochs_v2
+date: 2024-09-08
+tags: [nan, open_source, onnx, translation, marian]
+task: Translation
+language: nan
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_french_wmt14_english_french_1million_20epochs_v2` is a None model originally trained by sriram-sanjeev9s.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_french_wmt14_english_french_1million_20epochs_v2_nan_5.5.0_3.0_1725765323104.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_french_wmt14_english_french_1million_20epochs_v2_nan_5.5.0_3.0_1725765323104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_french_wmt14_english_french_1million_20epochs_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|nan|
+|Size:|502.0 MB|
+
+## References
+
+https://huggingface.co/sriram-sanjeev9s/opus-mt-en-fr_wmt14_En_Fr_1million_20epochs_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-q2d_333_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-q2d_333_pipeline_en.md
new file mode 100644
index 00000000000000..a44e5cafd7ce50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-q2d_333_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English q2d_333_pipeline pipeline MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: q2d_333_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`q2d_333_pipeline` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q2d_333_pipeline_en_5.5.0_3.0_1725815286090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q2d_333_pipeline_en_5.5.0_3.0_1725815286090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("q2d_333_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("q2d_333_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|q2d_333_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ingeol/q2d_333
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-qa_model_vasanth_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-qa_model_vasanth_pipeline_en.md
new file mode 100644
index 00000000000000..e6d0cec2b75a23
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-qa_model_vasanth_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English qa_model_vasanth_pipeline pipeline DistilBertForQuestionAnswering from Vasanth
+author: John Snow Labs
+name: qa_model_vasanth_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_model_vasanth_pipeline` is a English model originally trained by Vasanth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_model_vasanth_pipeline_en_5.5.0_3.0_1725823658879.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_model_vasanth_pipeline_en_5.5.0_3.0_1725823658879.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qa_model_vasanth_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qa_model_vasanth_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_model_vasanth_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/Vasanth/qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-response_toxicity_classifier_base_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-09-08-response_toxicity_classifier_base_pipeline_ru.md
new file mode 100644
index 00000000000000..06e41122b31d65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-response_toxicity_classifier_base_pipeline_ru.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Russian response_toxicity_classifier_base_pipeline pipeline BertForSequenceClassification from t-bank-ai
+author: John Snow Labs
+name: response_toxicity_classifier_base_pipeline
+date: 2024-09-08
+tags: [ru, open_source, pipeline, onnx]
+task: Text Classification
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`response_toxicity_classifier_base_pipeline` is a Russian model originally trained by t-bank-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/response_toxicity_classifier_base_pipeline_ru_5.5.0_3.0_1725839048333.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/response_toxicity_classifier_base_pipeline_ru_5.5.0_3.0_1725839048333.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("response_toxicity_classifier_base_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("response_toxicity_classifier_base_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|response_toxicity_classifier_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|611.0 MB|
+
+## References
+
+https://huggingface.co/t-bank-ai/response-toxicity-classifier-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-results_forwarder1121_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-results_forwarder1121_pipeline_en.md
new file mode 100644
index 00000000000000..985a69c548abb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-results_forwarder1121_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English results_forwarder1121_pipeline pipeline DistilBertForSequenceClassification from forwarder1121
+author: John Snow Labs
+name: results_forwarder1121_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_forwarder1121_pipeline` is a English model originally trained by forwarder1121.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_forwarder1121_pipeline_en_5.5.0_3.0_1725808945032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_forwarder1121_pipeline_en_5.5.0_3.0_1725808945032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("results_forwarder1121_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("results_forwarder1121_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_forwarder1121_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/forwarder1121/results
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-retrieval_mpnet_dot_finetuned_llama3_openbiollm_synthetic_dataset_en.md b/docs/_posts/ahmedlone127/2024-09-08-retrieval_mpnet_dot_finetuned_llama3_openbiollm_synthetic_dataset_en.md
new file mode 100644
index 00000000000000..b00b644297f3f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-retrieval_mpnet_dot_finetuned_llama3_openbiollm_synthetic_dataset_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English retrieval_mpnet_dot_finetuned_llama3_openbiollm_synthetic_dataset MPNetEmbeddings from antonkirk
+author: John Snow Labs
+name: retrieval_mpnet_dot_finetuned_llama3_openbiollm_synthetic_dataset
+date: 2024-09-08
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`retrieval_mpnet_dot_finetuned_llama3_openbiollm_synthetic_dataset` is a English model originally trained by antonkirk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/retrieval_mpnet_dot_finetuned_llama3_openbiollm_synthetic_dataset_en_5.5.0_3.0_1725815372003.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/retrieval_mpnet_dot_finetuned_llama3_openbiollm_synthetic_dataset_en_5.5.0_3.0_1725815372003.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|retrieval_mpnet_dot_finetuned_llama3_openbiollm_synthetic_dataset|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/antonkirk/retrieval-mpnet-dot-finetuned-llama3-openbiollm-synthetic-dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-rise_ner_distilbert_base_cased_system_b_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-rise_ner_distilbert_base_cased_system_b_v2_pipeline_en.md
new file mode 100644
index 00000000000000..1076d9f2a9d2c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-rise_ner_distilbert_base_cased_system_b_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English rise_ner_distilbert_base_cased_system_b_v2_pipeline pipeline DistilBertForTokenClassification from petersamoaa
+author: John Snow Labs
+name: rise_ner_distilbert_base_cased_system_b_v2_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rise_ner_distilbert_base_cased_system_b_v2_pipeline` is a English model originally trained by petersamoaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rise_ner_distilbert_base_cased_system_b_v2_pipeline_en_5.5.0_3.0_1725837489776.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rise_ner_distilbert_base_cased_system_b_v2_pipeline_en_5.5.0_3.0_1725837489776.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rise_ner_distilbert_base_cased_system_b_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rise_ner_distilbert_base_cased_system_b_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rise_ner_distilbert_base_cased_system_b_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.9 MB|
+
+## References
+
+https://huggingface.co/petersamoaa/rise-ner-distilbert-base-cased-system-b-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-roberta_base_climate_evidence_related_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-roberta_base_climate_evidence_related_pipeline_en.md
new file mode 100644
index 00000000000000..a69b9dd071f845
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-roberta_base_climate_evidence_related_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_climate_evidence_related_pipeline pipeline RoBertaForSequenceClassification from mwong
+author: John Snow Labs
+name: roberta_base_climate_evidence_related_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_climate_evidence_related_pipeline` is a English model originally trained by mwong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_climate_evidence_related_pipeline_en_5.5.0_3.0_1725778566900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_climate_evidence_related_pipeline_en_5.5.0_3.0_1725778566900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_climate_evidence_related_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_climate_evidence_related_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_climate_evidence_related_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|300.4 MB|
+
+## References
+
+https://huggingface.co/mwong/roberta-base-climate-evidence-related
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-roberta_soft_hd_en.md b/docs/_posts/ahmedlone127/2024-09-08-roberta_soft_hd_en.md
new file mode 100644
index 00000000000000..7e11898e864a4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-roberta_soft_hd_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_soft_hd RoBertaForSequenceClassification from Multiperspective
+author: John Snow Labs
+name: roberta_soft_hd
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_soft_hd` is a English model originally trained by Multiperspective.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_soft_hd_en_5.5.0_3.0_1725821251691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_soft_hd_en_5.5.0_3.0_1725821251691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_soft_hd|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Multiperspective/roberta-soft-hd
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-test_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-test_pipeline_en.md
new file mode 100644
index 00000000000000..3b1dd46dab18ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-test_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English test_pipeline pipeline MPNetEmbeddings from sheaDurgin
+author: John Snow Labs
+name: test_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_pipeline` is a English model originally trained by sheaDurgin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_pipeline_en_5.5.0_3.0_1725817148932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_pipeline_en_5.5.0_3.0_1725817148932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/sheaDurgin/test
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-albert_base_v2weighted_hoax_classifier_final_defs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-albert_base_v2weighted_hoax_classifier_final_defs_pipeline_en.md
new file mode 100644
index 00000000000000..0344cd967b1ef4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-albert_base_v2weighted_hoax_classifier_final_defs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_base_v2weighted_hoax_classifier_final_defs_pipeline pipeline AlbertForSequenceClassification from research-dump
+author: John Snow Labs
+name: albert_base_v2weighted_hoax_classifier_final_defs_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_v2weighted_hoax_classifier_final_defs_pipeline` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_v2weighted_hoax_classifier_final_defs_pipeline_en_5.5.0_3.0_1725889371458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_v2weighted_hoax_classifier_final_defs_pipeline_en_5.5.0_3.0_1725889371458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_base_v2weighted_hoax_classifier_final_defs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_base_v2weighted_hoax_classifier_final_defs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_v2weighted_hoax_classifier_final_defs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/research-dump/albert-base-v2weighted_hoax_classifier_final_defs
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-albert_finetuned_stationary_update_en.md b/docs/_posts/ahmedlone127/2024-09-09-albert_finetuned_stationary_update_en.md
new file mode 100644
index 00000000000000..aecdaeb74bd382
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-albert_finetuned_stationary_update_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_finetuned_stationary_update AlbertForSequenceClassification from MKS3099
+author: John Snow Labs
+name: albert_finetuned_stationary_update
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_finetuned_stationary_update` is a English model originally trained by MKS3099.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_finetuned_stationary_update_en_5.5.0_3.0_1725853999178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_finetuned_stationary_update_en_5.5.0_3.0_1725853999178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_finetuned_stationary_update|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/MKS3099/Albert-finetuned-stationary-update
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-albert_persian_farsi_base_v2_clf_digimag_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-09-albert_persian_farsi_base_v2_clf_digimag_pipeline_fa.md
new file mode 100644
index 00000000000000..d22a01b5810ffb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-albert_persian_farsi_base_v2_clf_digimag_pipeline_fa.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Persian albert_persian_farsi_base_v2_clf_digimag_pipeline pipeline AlbertForSequenceClassification from m3hrdadfi
+author: John Snow Labs
+name: albert_persian_farsi_base_v2_clf_digimag_pipeline
+date: 2024-09-09
+tags: [fa, open_source, pipeline, onnx]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_persian_farsi_base_v2_clf_digimag_pipeline` is a Persian model originally trained by m3hrdadfi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_persian_farsi_base_v2_clf_digimag_pipeline_fa_5.5.0_3.0_1725889141824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_persian_farsi_base_v2_clf_digimag_pipeline_fa_5.5.0_3.0_1725889141824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_persian_farsi_base_v2_clf_digimag_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_persian_farsi_base_v2_clf_digimag_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_persian_farsi_base_v2_clf_digimag_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|68.6 MB|
+
+## References
+
+https://huggingface.co/m3hrdadfi/albert-fa-base-v2-clf-digimag
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-all_roberta_large_v1_small_talk_1_16_5_en.md b/docs/_posts/ahmedlone127/2024-09-09-all_roberta_large_v1_small_talk_1_16_5_en.md
new file mode 100644
index 00000000000000..c5ed1790fdb1a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-all_roberta_large_v1_small_talk_1_16_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_small_talk_1_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_small_talk_1_16_5
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_small_talk_1_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_small_talk_1_16_5_en_5.5.0_3.0_1725902249835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_small_talk_1_16_5_en_5.5.0_3.0_1725902249835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_small_talk_1_16_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-small_talk-1-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-arabic2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-arabic2_pipeline_en.md
new file mode 100644
index 00000000000000..de1d2667c60568
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-arabic2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English arabic2_pipeline pipeline MarianTransformer from PontifexMaximus
+author: John Snow Labs
+name: arabic2_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arabic2_pipeline` is a English model originally trained by PontifexMaximus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabic2_pipeline_en_5.5.0_3.0_1725891708866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabic2_pipeline_en_5.5.0_3.0_1725891708866.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("arabic2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("arabic2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabic2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|528.5 MB|
+
+## References
+
+https://huggingface.co/PontifexMaximus/Arabic2
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bertimbau_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-bertimbau_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..56cab9fe45b61a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bertimbau_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bertimbau_finetuned_pipeline pipeline BertForSequenceClassification from Horusprg
+author: John Snow Labs
+name: bertimbau_finetuned_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertimbau_finetuned_pipeline` is a English model originally trained by Horusprg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertimbau_finetuned_pipeline_en_5.5.0_3.0_1725900028806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertimbau_finetuned_pipeline_en_5.5.0_3.0_1725900028806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bertimbau_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertimbau_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertimbau_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/Horusprg/bertimbau-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-best_model_yelp_polarity_64_42_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-best_model_yelp_polarity_64_42_pipeline_en.md
new file mode 100644
index 00000000000000..a8c27f8aeca95a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-best_model_yelp_polarity_64_42_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English best_model_yelp_polarity_64_42_pipeline pipeline AlbertForSequenceClassification from simonycl
+author: John Snow Labs
+name: best_model_yelp_polarity_64_42_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`best_model_yelp_polarity_64_42_pipeline` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/best_model_yelp_polarity_64_42_pipeline_en_5.5.0_3.0_1725924141406.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/best_model_yelp_polarity_64_42_pipeline_en_5.5.0_3.0_1725924141406.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("best_model_yelp_polarity_64_42_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("best_model_yelp_polarity_64_42_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|best_model_yelp_polarity_64_42_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/simonycl/best_model-yelp_polarity-64-42
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_setfit_model_kanixwang_en.md b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_setfit_model_kanixwang_en.md
new file mode 100644
index 00000000000000..ddcd30b29ec2de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_setfit_model_kanixwang_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_setfit_model_kanixwang MPNetEmbeddings from kanixwang
+author: John Snow Labs
+name: burmese_awesome_setfit_model_kanixwang
+date: 2024-09-09
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_setfit_model_kanixwang` is a English model originally trained by kanixwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_setfit_model_kanixwang_en_5.5.0_3.0_1725897230236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_setfit_model_kanixwang_en_5.5.0_3.0_1725897230236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_setfit_model_kanixwang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/kanixwang/my-awesome-setfit-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-childes_parentberto_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-childes_parentberto_pipeline_en.md
new file mode 100644
index 00000000000000..2b5829f19b6f17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-childes_parentberto_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English childes_parentberto_pipeline pipeline RoBertaEmbeddings from pulp
+author: John Snow Labs
+name: childes_parentberto_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`childes_parentberto_pipeline` is a English model originally trained by pulp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/childes_parentberto_pipeline_en_5.5.0_3.0_1725925172695.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/childes_parentberto_pipeline_en_5.5.0_3.0_1725925172695.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("childes_parentberto_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("childes_parentberto_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|childes_parentberto_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|256.6 MB|
+
+## References
+
+https://huggingface.co/pulp/CHILDES-ParentBERTo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dataequity_opus_maltese_tagalog_spanish_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dataequity_opus_maltese_tagalog_spanish_pipeline_en.md
new file mode 100644
index 00000000000000..f8f22525ac6c85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dataequity_opus_maltese_tagalog_spanish_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dataequity_opus_maltese_tagalog_spanish_pipeline pipeline MarianTransformer from dataequity
+author: John Snow Labs
+name: dataequity_opus_maltese_tagalog_spanish_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dataequity_opus_maltese_tagalog_spanish_pipeline` is a English model originally trained by dataequity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dataequity_opus_maltese_tagalog_spanish_pipeline_en_5.5.0_3.0_1725913086669.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dataequity_opus_maltese_tagalog_spanish_pipeline_en_5.5.0_3.0_1725913086669.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dataequity_opus_maltese_tagalog_spanish_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dataequity_opus_maltese_tagalog_spanish_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dataequity_opus_maltese_tagalog_spanish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|511.2 MB|
+
+## References
+
+https://huggingface.co/dataequity/dataequity-opus-mt-tl-es
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_ag_news_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_ag_news_v3_pipeline_en.md
new file mode 100644
index 00000000000000..9ac00090c0b77c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_ag_news_v3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ag_news_v3_pipeline pipeline DistilBertEmbeddings from miggwp
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ag_news_v3_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ag_news_v3_pipeline` is a English model originally trained by miggwp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ag_news_v3_pipeline_en_5.5.0_3.0_1725921525015.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ag_news_v3_pipeline_en_5.5.0_3.0_1725921525015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_ag_news_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_ag_news_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ag_news_v3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/miggwp/distilbert-base-uncased-finetuned-ag-news-v3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_squad_d5716d28_lakecrimsonn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_squad_d5716d28_lakecrimsonn_pipeline_en.md
new file mode 100644
index 00000000000000..5af0095e350349
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_squad_d5716d28_lakecrimsonn_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_lakecrimsonn_pipeline pipeline DistilBertForQuestionAnswering from lakecrimsonn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_lakecrimsonn_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_lakecrimsonn_pipeline` is a English model originally trained by lakecrimsonn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_lakecrimsonn_pipeline_en_5.5.0_3.0_1725892209346.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_lakecrimsonn_pipeline_en_5.5.0_3.0_1725892209346.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_lakecrimsonn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_lakecrimsonn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_lakecrimsonn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/lakecrimsonn/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilroberta_conll2003_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilroberta_conll2003_en.md
new file mode 100644
index 00000000000000..bed86c81c6c6ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilroberta_conll2003_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_conll2003 RoBertaForTokenClassification from jinhybr
+author: John Snow Labs
+name: distilroberta_conll2003
+date: 2024-09-09
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_conll2003` is a English model originally trained by jinhybr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_conll2003_en_5.5.0_3.0_1725888018229.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_conll2003_en_5.5.0_3.0_1725888018229.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|en2zh40|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|541.0 MB|
+
+## References
+
+https://huggingface.co/Carlosino/en2zh40
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-helsinki_danish_swedish_v10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-helsinki_danish_swedish_v10_pipeline_en.md
new file mode 100644
index 00000000000000..c224cac2053913
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-helsinki_danish_swedish_v10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English helsinki_danish_swedish_v10_pipeline pipeline MarianTransformer from Danieljacobsen
+author: John Snow Labs
+name: helsinki_danish_swedish_v10_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`helsinki_danish_swedish_v10_pipeline` is a English model originally trained by Danieljacobsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helsinki_danish_swedish_v10_pipeline_en_5.5.0_3.0_1725891225259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helsinki_danish_swedish_v10_pipeline_en_5.5.0_3.0_1725891225259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("helsinki_danish_swedish_v10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("helsinki_danish_swedish_v10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helsinki_danish_swedish_v10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|497.4 MB|
+
+## References
+
+https://huggingface.co/Danieljacobsen/Helsinki-DA-SV-v10
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-hf_nlp_course_distilbert_base_uncased_finetuned_imdb_en.md b/docs/_posts/ahmedlone127/2024-09-09-hf_nlp_course_distilbert_base_uncased_finetuned_imdb_en.md
new file mode 100644
index 00000000000000..d55eb453628eeb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-hf_nlp_course_distilbert_base_uncased_finetuned_imdb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hf_nlp_course_distilbert_base_uncased_finetuned_imdb DistilBertEmbeddings from yuwei2342
+author: John Snow Labs
+name: hf_nlp_course_distilbert_base_uncased_finetuned_imdb
+date: 2024-09-09
+tags: [en, open_source, onnx, embeddings, distilbert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hf_nlp_course_distilbert_base_uncased_finetuned_imdb` is a English model originally trained by yuwei2342.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hf_nlp_course_distilbert_base_uncased_finetuned_imdb_en_5.5.0_3.0_1725905773861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hf_nlp_course_distilbert_base_uncased_finetuned_imdb_en_5.5.0_3.0_1725905773861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hf_nlp_course_distilbert_base_uncased_finetuned_imdb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/yuwei2342/hf-nlp-course-distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-n_roberta_agnews_padding100model_en.md b/docs/_posts/ahmedlone127/2024-09-09-n_roberta_agnews_padding100model_en.md
new file mode 100644
index 00000000000000..d0554ee6dc1254
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-n_roberta_agnews_padding100model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_roberta_agnews_padding100model RoBertaForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_roberta_agnews_padding100model
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_roberta_agnews_padding100model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_roberta_agnews_padding100model_en_5.5.0_3.0_1725920856357.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_roberta_agnews_padding100model_en_5.5.0_3.0_1725920856357.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_italian_finetuned_4600_english_tonga_tonga_islands_italian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|622.9 MB|
+
+## References
+
+https://huggingface.co/VFiona/opus-mt-en-it-finetuned_4600-en-to-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto_pipeline_en.md
new file mode 100644
index 00000000000000..5218d20bff6bd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto_pipeline pipeline MarianTransformer from andreypurwanto
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto_pipeline` is a English model originally trained by andreypurwanto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto_pipeline_en_5.5.0_3.0_1725913083574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto_pipeline_en_5.5.0_3.0_1725913083574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.2 MB|
+
+## References
+
+https://huggingface.co/andreypurwanto/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_chlorhexidine_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_chlorhexidine_pipeline_en.md
new file mode 100644
index 00000000000000..9f87e31f74f252
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_chlorhexidine_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_chlorhexidine_pipeline pipeline MarianTransformer from Chlorhexidine
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_chlorhexidine_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_chlorhexidine_pipeline` is a English model originally trained by Chlorhexidine.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_chlorhexidine_pipeline_en_5.5.0_3.0_1725865119271.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_chlorhexidine_pipeline_en_5.5.0_3.0_1725865119271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_chlorhexidine_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_chlorhexidine_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_chlorhexidine_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.2 MB|
+
+## References
+
+https://huggingface.co/Chlorhexidine/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-question_answering_hemg_en.md b/docs/_posts/ahmedlone127/2024-09-09-question_answering_hemg_en.md
new file mode 100644
index 00000000000000..597e3df9ce915d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-question_answering_hemg_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English question_answering_hemg DistilBertForQuestionAnswering from Hemg
+author: John Snow Labs
+name: question_answering_hemg
+date: 2024-09-09
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`question_answering_hemg` is a English model originally trained by Hemg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_answering_hemg_en_5.5.0_3.0_1725868737704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_answering_hemg_en_5.5.0_3.0_1725868737704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|question_answering_hemg|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Hemg/Question-answering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_legal_german_cased_german_legal_squad_part_augmented_1000_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_legal_german_cased_german_legal_squad_part_augmented_1000_pipeline_de.md
new file mode 100644
index 00000000000000..dfceb63e9b1409
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_legal_german_cased_german_legal_squad_part_augmented_1000_pipeline_de.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: German roberta_legal_german_cased_german_legal_squad_part_augmented_1000_pipeline pipeline RoBertaForQuestionAnswering from farid1088
+author: John Snow Labs
+name: roberta_legal_german_cased_german_legal_squad_part_augmented_1000_pipeline
+date: 2024-09-09
+tags: [de, open_source, pipeline, onnx]
+task: Question Answering
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_legal_german_cased_german_legal_squad_part_augmented_1000_pipeline` is a German model originally trained by farid1088.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_legal_german_cased_german_legal_squad_part_augmented_1000_pipeline_de_5.5.0_3.0_1725867331478.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_legal_german_cased_german_legal_squad_part_augmented_1000_pipeline_de_5.5.0_3.0_1725867331478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_legal_german_cased_german_legal_squad_part_augmented_1000_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_legal_german_cased_german_legal_squad_part_augmented_1000_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_legal_german_cased_german_legal_squad_part_augmented_1000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/farid1088/RoBERTa-legal-de-cased_German_legal_SQuAD_part_augmented_1000
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_qa_model_10k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_qa_model_10k_pipeline_en.md
new file mode 100644
index 00000000000000..b764279155041f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_qa_model_10k_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_qa_model_10k_pipeline pipeline RoBertaForQuestionAnswering from anablasi
+author: John Snow Labs
+name: roberta_qa_model_10k_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_qa_model_10k_pipeline` is a English model originally trained by anablasi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_qa_model_10k_pipeline_en_5.5.0_3.0_1725867032966.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_qa_model_10k_pipeline_en_5.5.0_3.0_1725867032966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_qa_model_10k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_qa_model_10k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_qa_model_10k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/anablasi/model_10k_qa
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed_pipeline_en.md
new file mode 100644
index 00000000000000..19d4c7f79983a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed_pipeline pipeline RoBertaForSequenceClassification from technocrat3128
+author: John Snow Labs
+name: sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed_pipeline` is a English model originally trained by technocrat3128.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed_pipeline_en_5.5.0_3.0_1725903862853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed_pipeline_en_5.5.0_3.0_1725903862853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/technocrat3128/sentiment_analysis_Twitter_roberta_fine_tune_hashtag_removed
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-tatoeba_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-tatoeba_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..b7c3ceabaabe02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-tatoeba_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tatoeba_finetuned_pipeline pipeline MarianTransformer from muibk
+author: John Snow Labs
+name: tatoeba_finetuned_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tatoeba_finetuned_pipeline` is a English model originally trained by muibk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tatoeba_finetuned_pipeline_en_5.5.0_3.0_1725865058808.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tatoeba_finetuned_pipeline_en_5.5.0_3.0_1725865058808.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tatoeba_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tatoeba_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tatoeba_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|538.1 MB|
+
+## References
+
+https://huggingface.co/muibk/tatoeba_finetuned
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-transformer_classification_test_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-transformer_classification_test_v2_pipeline_en.md
new file mode 100644
index 00000000000000..089dea4083c784
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-transformer_classification_test_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English transformer_classification_test_v2_pipeline pipeline RoBertaForSequenceClassification from rd-1
+author: John Snow Labs
+name: transformer_classification_test_v2_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`transformer_classification_test_v2_pipeline` is a English model originally trained by rd-1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/transformer_classification_test_v2_pipeline_en_5.5.0_3.0_1725911730253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/transformer_classification_test_v2_pipeline_en_5.5.0_3.0_1725911730253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("transformer_classification_test_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("transformer_classification_test_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|transformer_classification_test_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/rd-1/transformer_classification_test_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_hcy5561_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_hcy5561_en.md
new file mode 100644
index 00000000000000..33f42a03651013
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_hcy5561_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_hcy5561 XlmRoBertaForTokenClassification from hcy5561
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_hcy5561
+date: 2024-09-09
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_hcy5561` is a English model originally trained by hcy5561.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_hcy5561_en_5.5.0_3.0_1725923428686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_hcy5561_en_5.5.0_3.0_1725923428686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_hcy5561|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|848.0 MB|
+
+## References
+
+https://huggingface.co/hcy5561/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_wooseok0303_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_wooseok0303_en.md
new file mode 100644
index 00000000000000..0e151477881c30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_wooseok0303_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_wooseok0303 XlmRoBertaForTokenClassification from wooseok0303
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_wooseok0303
+date: 2024-09-09
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_wooseok0303` is a English model originally trained by wooseok0303.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_wooseok0303_en_5.5.0_3.0_1725922910854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_wooseok0303_en_5.5.0_3.0_1725922910854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_wooseok0303|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|816.7 MB|
+
+## References
+
+https://huggingface.co/wooseok0303/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlmr_sinhalese_english_train_shuffled_1986_test2000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlmr_sinhalese_english_train_shuffled_1986_test2000_pipeline_en.md
new file mode 100644
index 00000000000000..2dc31f231c283c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlmr_sinhalese_english_train_shuffled_1986_test2000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlmr_sinhalese_english_train_shuffled_1986_test2000_pipeline pipeline XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_sinhalese_english_train_shuffled_1986_test2000_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_sinhalese_english_train_shuffled_1986_test2000_pipeline` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_sinhalese_english_train_shuffled_1986_test2000_pipeline_en_5.5.0_3.0_1725906750068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_sinhalese_english_train_shuffled_1986_test2000_pipeline_en_5.5.0_3.0_1725906750068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmr_sinhalese_english_train_shuffled_1986_test2000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmr_sinhalese_english_train_shuffled_1986_test2000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_sinhalese_english_train_shuffled_1986_test2000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|814.3 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-si-en-train_shuffled-1986-test2000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-16_shot_twitter_2classes_nepal_bhasa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-16_shot_twitter_2classes_nepal_bhasa_pipeline_en.md
new file mode 100644
index 00000000000000..36770a8a9d3da0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-16_shot_twitter_2classes_nepal_bhasa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English 16_shot_twitter_2classes_nepal_bhasa_pipeline pipeline MPNetEmbeddings from Nhat1904
+author: John Snow Labs
+name: 16_shot_twitter_2classes_nepal_bhasa_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`16_shot_twitter_2classes_nepal_bhasa_pipeline` is a English model originally trained by Nhat1904.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/16_shot_twitter_2classes_nepal_bhasa_pipeline_en_5.5.0_3.0_1725935918225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/16_shot_twitter_2classes_nepal_bhasa_pipeline_en_5.5.0_3.0_1725935918225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("16_shot_twitter_2classes_nepal_bhasa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("16_shot_twitter_2classes_nepal_bhasa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|16_shot_twitter_2classes_nepal_bhasa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/Nhat1904/16-shot-twitter-2classes-new
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_lr1e_8_margin_1_bosnian_32_en.md b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_lr1e_8_margin_1_bosnian_32_en.md
new file mode 100644
index 00000000000000..6d323e90bd1004
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_lr1e_8_margin_1_bosnian_32_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English all_mpnet_lr1e_8_margin_1_bosnian_32 MPNetEmbeddings from luiz-and-robert-thesis
+author: John Snow Labs
+name: all_mpnet_lr1e_8_margin_1_bosnian_32
+date: 2024-09-10
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_mpnet_lr1e_8_margin_1_bosnian_32` is a English model originally trained by luiz-and-robert-thesis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_lr1e_8_margin_1_bosnian_32_en_5.5.0_3.0_1725978209257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_lr1e_8_margin_1_bosnian_32_en_5.5.0_3.0_1725978209257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_lr1e_8_margin_1_bosnian_32|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/luiz-and-robert-thesis/all-mpnet-lr1e-8-margin-1-bs-32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-bert_classifier_llmhum_en.md b/docs/_posts/ahmedlone127/2024-09-10-bert_classifier_llmhum_en.md
new file mode 100644
index 00000000000000..33e893c29dc4b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-bert_classifier_llmhum_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_classifier_llmhum MPNetEmbeddings from vmmalvarez
+author: John Snow Labs
+name: bert_classifier_llmhum
+date: 2024-09-10
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classifier_llmhum` is a English model originally trained by vmmalvarez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_llmhum_en_5.5.0_3.0_1725936039927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_llmhum_en_5.5.0_3.0_1725936039927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_rouhan|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Rouhan/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-cot_ep3_35_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-cot_ep3_35_pipeline_en.md
new file mode 100644
index 00000000000000..27f5b5b86a3bbb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-cot_ep3_35_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English cot_ep3_35_pipeline pipeline MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: cot_ep3_35_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cot_ep3_35_pipeline` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cot_ep3_35_pipeline_en_5.5.0_3.0_1725963866603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cot_ep3_35_pipeline_en_5.5.0_3.0_1725963866603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cot_ep3_35_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cot_ep3_35_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cot_ep3_35_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ingeol/cot_ep3_35
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-dataset_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-dataset_pipeline_en.md
new file mode 100644
index 00000000000000..e2fb50d6c3d04f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-dataset_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English dataset_pipeline pipeline DistilBertForQuestionAnswering from ajaydvrj
+author: John Snow Labs
+name: dataset_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dataset_pipeline` is a English model originally trained by ajaydvrj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dataset_pipeline_en_5.5.0_3.0_1725932252340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dataset_pipeline_en_5.5.0_3.0_1725932252340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dataset_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dataset_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dataset_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ajaydvrj/dataset
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-deproberta_v5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-deproberta_v5_pipeline_en.md
new file mode 100644
index 00000000000000..f98dc4d51dae56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-deproberta_v5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deproberta_v5_pipeline pipeline RoBertaForSequenceClassification from ericNguyen0132
+author: John Snow Labs
+name: deproberta_v5_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deproberta_v5_pipeline` is a English model originally trained by ericNguyen0132.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deproberta_v5_pipeline_en_5.5.0_3.0_1725971874035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deproberta_v5_pipeline_en_5.5.0_3.0_1725971874035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deproberta_v5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deproberta_v5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deproberta_v5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ericNguyen0132/DepRoBERTa-v5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_snape_v_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_snape_v_en.md
new file mode 100644
index 00000000000000..a5f2474c008fcc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_snape_v_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_snape_v DistilBertForQuestionAnswering from Snape-v
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_snape_v
+date: 2024-09-10
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_snape_v` is a English model originally trained by Snape-v.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_snape_v_en_5.5.0_3.0_1725980023976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_snape_v_en_5.5.0_3.0_1725980023976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_snape_v|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Snape-v/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_imdb_400_200_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_imdb_400_200_en.md
new file mode 100644
index 00000000000000..74687c59092d67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_imdb_400_200_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_imdb_400_200 DistilBertForSequenceClassification from cordondata
+author: John Snow Labs
+name: distilbert_imdb_400_200
+date: 2024-09-10
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_400_200` is a English model originally trained by cordondata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_400_200_en_5.5.0_3.0_1726009304024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_400_200_en_5.5.0_3.0_1726009304024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_tomjam|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[camembert]|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/tomjam/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-facets_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-facets_5_pipeline_en.md
new file mode 100644
index 00000000000000..75f99b7deaeb9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-facets_5_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English facets_5_pipeline pipeline MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: facets_5_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`facets_5_pipeline` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/facets_5_pipeline_en_5.5.0_3.0_1725969975075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/facets_5_pipeline_en_5.5.0_3.0_1725969975075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("facets_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("facets_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|facets_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ingeol/facets_5
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_en.md b/docs/_posts/ahmedlone127/2024-09-10-finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_en.md
new file mode 100644
index 00000000000000..4b7026785a272a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds RoBertaEmbeddings from manucos
+author: John Snow Labs
+name: finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds
+date: 2024-09-10
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds` is a English model originally trained by manucos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_en_5.5.0_3.0_1725937249296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds_en_5.5.0_3.0_1725937249296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned__roberta_clinical_wl_spanish__augmented_ultrasounds|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|469.7 MB|
+
+## References
+
+https://huggingface.co/manucos/finetuned__roberta-clinical-wl-es__augmented-ultrasounds
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-llama_amazbooks_mpnet_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-llama_amazbooks_mpnet_pipeline_en.md
new file mode 100644
index 00000000000000..fa4c7eb14c434d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-llama_amazbooks_mpnet_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English llama_amazbooks_mpnet_pipeline pipeline MPNetEmbeddings from beeformer
+author: John Snow Labs
+name: llama_amazbooks_mpnet_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`llama_amazbooks_mpnet_pipeline` is a English model originally trained by beeformer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/llama_amazbooks_mpnet_pipeline_en_5.5.0_3.0_1725963715402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/llama_amazbooks_mpnet_pipeline_en_5.5.0_3.0_1725963715402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("llama_amazbooks_mpnet_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("llama_amazbooks_mpnet_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|llama_amazbooks_mpnet_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/beeformer/Llama-amazbooks-mpnet
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-marian_dyula_french_translator_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-marian_dyula_french_translator_pipeline_en.md
new file mode 100644
index 00000000000000..257b2efe7ba56e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-marian_dyula_french_translator_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_dyula_french_translator_pipeline pipeline MarianTransformer from Kimmy7
+author: John Snow Labs
+name: marian_dyula_french_translator_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_dyula_french_translator_pipeline` is a English model originally trained by Kimmy7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_dyula_french_translator_pipeline_en_5.5.0_3.0_1726002415162.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_dyula_french_translator_pipeline_en_5.5.0_3.0_1726002415162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_dyula_french_translator_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_dyula_french_translator_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_dyula_french_translator_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|533.2 MB|
+
+## References
+
+https://huggingface.co/Kimmy7/marian_dyula_french_translator
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-muril_base_cased_hate_speech_ben_hin_bn.md b/docs/_posts/ahmedlone127/2024-09-10-muril_base_cased_hate_speech_ben_hin_bn.md
new file mode 100644
index 00000000000000..7a5999a5d760ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-muril_base_cased_hate_speech_ben_hin_bn.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Bengali muril_base_cased_hate_speech_ben_hin BertForSequenceClassification from abirmondalind
+author: John Snow Labs
+name: muril_base_cased_hate_speech_ben_hin
+date: 2024-09-10
+tags: [bn, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: bn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`muril_base_cased_hate_speech_ben_hin` is a Bengali model originally trained by abirmondalind.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/muril_base_cased_hate_speech_ben_hin_bn_5.5.0_3.0_1725999628248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/muril_base_cased_hate_speech_ben_hin_bn_5.5.0_3.0_1725999628248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|muril_base_cased_hate_speech_ben_hin|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|bn|
+|Size:|892.7 MB|
+
+## References
+
+https://huggingface.co/abirmondalind/muril-base-cased-hate-speech-ben-hin
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-ner_column_bert_base_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-ner_column_bert_base_ner_pipeline_en.md
new file mode 100644
index 00000000000000..23661b9a800d1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-ner_column_bert_base_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_column_bert_base_ner_pipeline pipeline BertForTokenClassification from almaghrabima
+author: John Snow Labs
+name: ner_column_bert_base_ner_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_column_bert_base_ner_pipeline` is a English model originally trained by almaghrabima.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_column_bert_base_ner_pipeline_en_5.5.0_3.0_1725934736379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_column_bert_base_ner_pipeline_en_5.5.0_3.0_1725934736379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_column_bert_base_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_column_bert_base_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_column_bert_base_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.8 MB|
+
+## References
+
+https://huggingface.co/almaghrabima/ner_column_bert-base-NER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-ner_hindi_bert_en.md b/docs/_posts/ahmedlone127/2024-09-10-ner_hindi_bert_en.md
new file mode 100644
index 00000000000000..62c1400b4111ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-ner_hindi_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_hindi_bert BertForTokenClassification from lakshaywadhwa1993
+author: John Snow Labs
+name: ner_hindi_bert
+date: 2024-09-10
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_hindi_bert` is a English model originally trained by lakshaywadhwa1993.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_hindi_bert_en_5.5.0_3.0_1725955679986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_hindi_bert_en_5.5.0_3.0_1725955679986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_hindi_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/lakshaywadhwa1993/ner_hindi_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-ner_hindi_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-ner_hindi_bert_pipeline_en.md
new file mode 100644
index 00000000000000..7ae4b5ccdd6622
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-ner_hindi_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_hindi_bert_pipeline pipeline BertForTokenClassification from lakshaywadhwa1993
+author: John Snow Labs
+name: ner_hindi_bert_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_hindi_bert_pipeline` is a English model originally trained by lakshaywadhwa1993.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_hindi_bert_pipeline_en_5.5.0_3.0_1725955710391.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_hindi_bert_pipeline_en_5.5.0_3.0_1725955710391.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_hindi_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_hindi_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_hindi_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/lakshaywadhwa1993/ner_hindi_bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-nordic_roberta_wiki_pipeline_sv.md b/docs/_posts/ahmedlone127/2024-09-10-nordic_roberta_wiki_pipeline_sv.md
new file mode 100644
index 00000000000000..4c4dc61cff5e1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-nordic_roberta_wiki_pipeline_sv.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Swedish nordic_roberta_wiki_pipeline pipeline RoBertaEmbeddings from flax-community
+author: John Snow Labs
+name: nordic_roberta_wiki_pipeline
+date: 2024-09-10
+tags: [sv, open_source, pipeline, onnx]
+task: Embeddings
+language: sv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nordic_roberta_wiki_pipeline` is a Swedish model originally trained by flax-community.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nordic_roberta_wiki_pipeline_sv_5.5.0_3.0_1726005604514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nordic_roberta_wiki_pipeline_sv_5.5.0_3.0_1726005604514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nordic_roberta_wiki_pipeline", lang = "sv")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nordic_roberta_wiki_pipeline", lang = "sv")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nordic_roberta_wiki_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|sv|
+|Size:|465.6 MB|
+
+## References
+
+https://huggingface.co/flax-community/nordic-roberta-wiki
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-output_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-output_pipeline_en.md
new file mode 100644
index 00000000000000..106cf7fbf825e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-output_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English output_pipeline pipeline DistilBertForQuestionAnswering from AparnaGayathri
+author: John Snow Labs
+name: output_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`output_pipeline` is a English model originally trained by AparnaGayathri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_pipeline_en_5.5.0_3.0_1725980321343.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_pipeline_en_5.5.0_3.0_1725980321343.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("output_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("output_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/AparnaGayathri/output
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-passage_ranker_v1_xs_english_en.md b/docs/_posts/ahmedlone127/2024-09-10-passage_ranker_v1_xs_english_en.md
new file mode 100644
index 00000000000000..71260a5355e218
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-passage_ranker_v1_xs_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English passage_ranker_v1_xs_english BertForSequenceClassification from sinequa
+author: John Snow Labs
+name: passage_ranker_v1_xs_english
+date: 2024-09-10
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`passage_ranker_v1_xs_english` is a English model originally trained by sinequa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/passage_ranker_v1_xs_english_en_5.5.0_3.0_1725999696534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/passage_ranker_v1_xs_english_en_5.5.0_3.0_1725999696534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|q_only_ep3_42|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ingeol/q_only_ep3_42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-refpydst_10p_referredstates_split_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-refpydst_10p_referredstates_split_v1_pipeline_en.md
new file mode 100644
index 00000000000000..61e4424c7e2c6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-refpydst_10p_referredstates_split_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English refpydst_10p_referredstates_split_v1_pipeline pipeline MPNetEmbeddings from Brendan
+author: John Snow Labs
+name: refpydst_10p_referredstates_split_v1_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`refpydst_10p_referredstates_split_v1_pipeline` is a English model originally trained by Brendan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/refpydst_10p_referredstates_split_v1_pipeline_en_5.5.0_3.0_1725935927689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/refpydst_10p_referredstates_split_v1_pipeline_en_5.5.0_3.0_1725935927689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("refpydst_10p_referredstates_split_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("refpydst_10p_referredstates_split_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|refpydst_10p_referredstates_split_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/Brendan/refpydst-10p-referredstates-split-v1
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_tagalog_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_tagalog_base_pipeline_en.md
new file mode 100644
index 00000000000000..b0dacda2c05c24
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_tagalog_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_tagalog_base_pipeline pipeline RoBertaEmbeddings from GKLMIP
+author: John Snow Labs
+name: roberta_tagalog_base_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tagalog_base_pipeline` is a English model originally trained by GKLMIP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_pipeline_en_5.5.0_3.0_1725937753524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_pipeline_en_5.5.0_3.0_1725937753524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_tagalog_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_tagalog_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tagalog_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|467.7 MB|
+
+## References
+
+https://huggingface.co/GKLMIP/roberta-tagalog-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-rulebert_v0_3_k3_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-10-rulebert_v0_3_k3_pipeline_it.md
new file mode 100644
index 00000000000000..f25fcdfa1d3cc8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-rulebert_v0_3_k3_pipeline_it.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Italian rulebert_v0_3_k3_pipeline pipeline XlmRoBertaForSequenceClassification from ribesstefano
+author: John Snow Labs
+name: rulebert_v0_3_k3_pipeline
+date: 2024-09-10
+tags: [it, open_source, pipeline, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rulebert_v0_3_k3_pipeline` is a Italian model originally trained by ribesstefano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rulebert_v0_3_k3_pipeline_it_5.5.0_3.0_1726003953022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rulebert_v0_3_k3_pipeline_it_5.5.0_3.0_1726003953022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rulebert_v0_3_k3_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rulebert_v0_3_k3_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rulebert_v0_3_k3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|870.5 MB|
+
+## References
+
+https://huggingface.co/ribesstefano/RuleBert-v0.3-k3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-setfit_model_feb12_misinformation_on_convoy_en.md b/docs/_posts/ahmedlone127/2024-09-10-setfit_model_feb12_misinformation_on_convoy_en.md
new file mode 100644
index 00000000000000..6f7906c8566e67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-setfit_model_feb12_misinformation_on_convoy_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English setfit_model_feb12_misinformation_on_convoy MPNetEmbeddings from mitra-mir
+author: John Snow Labs
+name: setfit_model_feb12_misinformation_on_convoy
+date: 2024-09-10
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`setfit_model_feb12_misinformation_on_convoy` is a English model originally trained by mitra-mir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_model_feb12_misinformation_on_convoy_en_5.5.0_3.0_1725936463678.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_model_feb12_misinformation_on_convoy_en_5.5.0_3.0_1725936463678.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|setfit_model_feb12_misinformation_on_convoy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/mitra-mir/setfit-model-Feb12-Misinformation-on-Convoy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-setfit_model_ireland_binary_label2_epochs2_en.md b/docs/_posts/ahmedlone127/2024-09-10-setfit_model_ireland_binary_label2_epochs2_en.md
new file mode 100644
index 00000000000000..52e3c7f3749a76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-setfit_model_ireland_binary_label2_epochs2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English setfit_model_ireland_binary_label2_epochs2 MPNetEmbeddings from mitra-mir
+author: John Snow Labs
+name: setfit_model_ireland_binary_label2_epochs2
+date: 2024-09-10
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`setfit_model_ireland_binary_label2_epochs2` is a English model originally trained by mitra-mir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_model_ireland_binary_label2_epochs2_en_5.5.0_3.0_1725963692083.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_model_ireland_binary_label2_epochs2_en_5.5.0_3.0_1725963692083.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|setfit_model_ireland_binary_label2_epochs2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/mitra-mir/setfit_model_Ireland_binary_label2_epochs2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-southern_sotho_all_mpnet_finetuned_english_2000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-southern_sotho_all_mpnet_finetuned_english_2000_pipeline_en.md
new file mode 100644
index 00000000000000..bcc4a8ad3cf46c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-southern_sotho_all_mpnet_finetuned_english_2000_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English southern_sotho_all_mpnet_finetuned_english_2000_pipeline pipeline MPNetEmbeddings from danfeg
+author: John Snow Labs
+name: southern_sotho_all_mpnet_finetuned_english_2000_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`southern_sotho_all_mpnet_finetuned_english_2000_pipeline` is a English model originally trained by danfeg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/southern_sotho_all_mpnet_finetuned_english_2000_pipeline_en_5.5.0_3.0_1725936173271.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/southern_sotho_all_mpnet_finetuned_english_2000_pipeline_en_5.5.0_3.0_1725936173271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("southern_sotho_all_mpnet_finetuned_english_2000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("southern_sotho_all_mpnet_finetuned_english_2000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|southern_sotho_all_mpnet_finetuned_english_2000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/danfeg/ST-ALL-MPNET_Finetuned-EN-2000
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-squad_clip_text_3_en.md b/docs/_posts/ahmedlone127/2024-09-10-squad_clip_text_3_en.md
new file mode 100644
index 00000000000000..474523fbe88891
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-squad_clip_text_3_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English squad_clip_text_3 RoBertaForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: squad_clip_text_3
+date: 2024-09-10
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`squad_clip_text_3` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/squad_clip_text_3_en_5.5.0_3.0_1725959135554.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/squad_clip_text_3_en_5.5.0_3.0_1725959135554.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|squad_clip_text_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/AnonymousSub/SQuAD_CLIP_text_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-the_doctor_asked_if_the_patient_had_any_more_questions_bert_last512_en.md b/docs/_posts/ahmedlone127/2024-09-10-the_doctor_asked_if_the_patient_had_any_more_questions_bert_last512_en.md
new file mode 100644
index 00000000000000..46b1fbce53d53b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-the_doctor_asked_if_the_patient_had_any_more_questions_bert_last512_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English the_doctor_asked_if_the_patient_had_any_more_questions_bert_last512 BertForSequenceClassification from etadevosyan
+author: John Snow Labs
+name: the_doctor_asked_if_the_patient_had_any_more_questions_bert_last512
+date: 2024-09-10
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`the_doctor_asked_if_the_patient_had_any_more_questions_bert_last512` is a English model originally trained by etadevosyan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/the_doctor_asked_if_the_patient_had_any_more_questions_bert_last512_en_5.5.0_3.0_1725957659208.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/the_doctor_asked_if_the_patient_had_any_more_questions_bert_last512_en_5.5.0_3.0_1725957659208.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tonga_tonga_islands_classifier_v0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/futuredatascience/to-classifier-v0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-tweeteval_fewshot_en.md b/docs/_posts/ahmedlone127/2024-09-10-tweeteval_fewshot_en.md
new file mode 100644
index 00000000000000..f24deed0bfebe8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-tweeteval_fewshot_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English tweeteval_fewshot MPNetEmbeddings from pig4431
+author: John Snow Labs
+name: tweeteval_fewshot
+date: 2024-09-10
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweeteval_fewshot` is a English model originally trained by pig4431.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweeteval_fewshot_en_5.5.0_3.0_1725936610583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweeteval_fewshot_en_5.5.0_3.0_1725936610583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tweeteval_fewshot|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/pig4431/TweetEval_fewshot
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_ukrainian_art1xgg_pipeline_uk.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_ukrainian_art1xgg_pipeline_uk.md
new file mode 100644
index 00000000000000..64b9389e9c9945
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_ukrainian_art1xgg_pipeline_uk.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Ukrainian whisper_small_ukrainian_art1xgg_pipeline pipeline WhisperForCTC from art1xgg
+author: John Snow Labs
+name: whisper_small_ukrainian_art1xgg_pipeline
+date: 2024-09-10
+tags: [uk, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: uk
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_ukrainian_art1xgg_pipeline` is a Ukrainian model originally trained by art1xgg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_ukrainian_art1xgg_pipeline_uk_5.5.0_3.0_1725950825173.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_ukrainian_art1xgg_pipeline_uk_5.5.0_3.0_1725950825173.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_ukrainian_art1xgg_pipeline", lang = "uk")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_ukrainian_art1xgg_pipeline", lang = "uk")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_ukrainian_art1xgg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|uk|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/art1xgg/whisper-small-uk
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_yue_chinese_full_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_yue_chinese_full_pipeline_en.md
new file mode 100644
index 00000000000000..8e6206e6136623
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_yue_chinese_full_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_yue_chinese_full_pipeline pipeline WhisperForCTC from safecantonese
+author: John Snow Labs
+name: whisper_small_yue_chinese_full_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_yue_chinese_full_pipeline` is a English model originally trained by safecantonese.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_yue_chinese_full_pipeline_en_5.5.0_3.0_1725949408274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_yue_chinese_full_pipeline_en_5.5.0_3.0_1725949408274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_yue_chinese_full_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_yue_chinese_full_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_yue_chinese_full_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/safecantonese/whisper-small-yue-full
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_tiny_papi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_tiny_papi_pipeline_en.md
new file mode 100644
index 00000000000000..f1a48ddc6a43fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_tiny_papi_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_papi_pipeline pipeline WhisperForCTC from sonnygeorge
+author: John Snow Labs
+name: whisper_tiny_papi_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_papi_pipeline` is a English model originally trained by sonnygeorge.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_papi_pipeline_en_5.5.0_3.0_1725950497564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_papi_pipeline_en_5.5.0_3.0_1725950497564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_papi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_papi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_papi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/sonnygeorge/whisper-tiny-papi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-withinapps_ndd_phoenix_test_tags_cwadj_en.md b/docs/_posts/ahmedlone127/2024-09-10-withinapps_ndd_phoenix_test_tags_cwadj_en.md
new file mode 100644
index 00000000000000..b225723b0ec1a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-withinapps_ndd_phoenix_test_tags_cwadj_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English withinapps_ndd_phoenix_test_tags_cwadj DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_phoenix_test_tags_cwadj
+date: 2024-09-10
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_phoenix_test_tags_cwadj` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_phoenix_test_tags_cwadj_en_5.5.0_3.0_1726009029510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_phoenix_test_tags_cwadj_en_5.5.0_3.0_1726009029510.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_phoenix_test_tags_cwadj|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-phoenix_test-tags-CWAdj
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_all_fraisier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_all_fraisier_pipeline_en.md
new file mode 100644
index 00000000000000..8fcb1b3de5eb78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_all_fraisier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_fraisier_pipeline pipeline XlmRoBertaForTokenClassification from Fraisier
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_fraisier_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_fraisier_pipeline` is a English model originally trained by Fraisier.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_fraisier_pipeline_en_5.5.0_3.0_1725973885591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_fraisier_pipeline_en_5.5.0_3.0_1725973885591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_fraisier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_fraisier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_fraisier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/Fraisier/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_stdntlfe_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_stdntlfe_pipeline_en.md
new file mode 100644
index 00000000000000..bdab02bd484dd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_stdntlfe_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_stdntlfe_pipeline pipeline XlmRoBertaForTokenClassification from stdntlfe
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_stdntlfe_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_stdntlfe_pipeline` is a English model originally trained by stdntlfe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_stdntlfe_pipeline_en_5.5.0_3.0_1725985385454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_stdntlfe_pipeline_en_5.5.0_3.0_1725985385454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_stdntlfe_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_stdntlfe_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_stdntlfe_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/stdntlfe/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_winterlight28_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_winterlight28_en.md
new file mode 100644
index 00000000000000..a94614a7d3d391
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_winterlight28_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_winterlight28 XlmRoBertaForTokenClassification from winterlight28
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_winterlight28
+date: 2024-09-10
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_winterlight28` is a English model originally trained by winterlight28.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_winterlight28_en_5.5.0_3.0_1725985624545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_winterlight28_en_5.5.0_3.0_1725985624545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_winterlight28|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/winterlight28/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_italian_juhyun76_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_italian_juhyun76_pipeline_en.md
new file mode 100644
index 00000000000000..3545769df2442f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_italian_juhyun76_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_juhyun76_pipeline pipeline XlmRoBertaForTokenClassification from juhyun76
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_juhyun76_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_juhyun76_pipeline` is a English model originally trained by juhyun76.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_juhyun76_pipeline_en_5.5.0_3.0_1725985206534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_juhyun76_pipeline_en_5.5.0_3.0_1725985206534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_juhyun76_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_juhyun76_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_juhyun76_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|818.4 MB|
+
+## References
+
+https://huggingface.co/juhyun76/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlmroberta_ner_gpt2_large_detector_german_v1_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-10-xlmroberta_ner_gpt2_large_detector_german_v1_pipeline_de.md
new file mode 100644
index 00000000000000..9220d9c4ddeb80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlmroberta_ner_gpt2_large_detector_german_v1_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German xlmroberta_ner_gpt2_large_detector_german_v1_pipeline pipeline XlmRoBertaForTokenClassification from bettertextapp
+author: John Snow Labs
+name: xlmroberta_ner_gpt2_large_detector_german_v1_pipeline
+date: 2024-09-10
+tags: [de, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmroberta_ner_gpt2_large_detector_german_v1_pipeline` is a German model originally trained by bettertextapp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_gpt2_large_detector_german_v1_pipeline_de_5.5.0_3.0_1726012170831.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_gpt2_large_detector_german_v1_pipeline_de_5.5.0_3.0_1726012170831.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmroberta_ner_gpt2_large_detector_german_v1_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmroberta_ner_gpt2_large_detector_german_v1_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmroberta_ner_gpt2_large_detector_german_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|810.6 MB|
+
+## References
+
+https://huggingface.co/bettertextapp/gpt2-large-detector-de-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_en.md b/docs/_posts/ahmedlone127/2024-09-11-011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_en.md
new file mode 100644
index 00000000000000..901911cf6d262d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000 DeBertaForSequenceClassification from diogopaes10
+author: John Snow Labs
+name: 011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000` is a English model originally trained by diogopaes10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_en_5.5.0_3.0_1726030288369.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000_en_5.5.0_3.0_1726030288369.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|011_microsoft_deberta_v3_base_finetuned_yahoo_8000_2000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|618.4 MB|
+
+## References
+
+https://huggingface.co/diogopaes10/011-microsoft-deberta-v3-base-finetuned-yahoo-8000_2000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-0_00003_0_99_en.md b/docs/_posts/ahmedlone127/2024-09-11-0_00003_0_99_en.md
new file mode 100644
index 00000000000000..67ee83382dab99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-0_00003_0_99_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 0_00003_0_99 RoBertaForSequenceClassification from rose-e-wang
+author: John Snow Labs
+name: 0_00003_0_99
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`0_00003_0_99` is a English model originally trained by rose-e-wang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/0_00003_0_99_en_5.5.0_3.0_1726063938909.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/0_00003_0_99_en_5.5.0_3.0_1726063938909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_wikipedia1_2_5m_wikipedia_french_with_masking_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-wikipedia1_2.5M_wikipedia_french-with-Masking-finetuned-SQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-bert_base_uncased_dbpedia_14_en.md b/docs/_posts/ahmedlone127/2024-09-11-bert_base_uncased_dbpedia_14_en.md
new file mode 100644
index 00000000000000..17d606e07c3a89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-bert_base_uncased_dbpedia_14_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_dbpedia_14 BertForSequenceClassification from fabriceyhc
+author: John Snow Labs
+name: bert_base_uncased_dbpedia_14
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_dbpedia_14` is a English model originally trained by fabriceyhc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_dbpedia_14_en_5.5.0_3.0_1726015525366.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_dbpedia_14_en_5.5.0_3.0_1726015525366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_dbpedia_14|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/fabriceyhc/bert-base-uncased-dbpedia_14
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-best_model_yelp_polarity_32_100_en.md b/docs/_posts/ahmedlone127/2024-09-11-best_model_yelp_polarity_32_100_en.md
new file mode 100644
index 00000000000000..8a60fc7191a3e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-best_model_yelp_polarity_32_100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English best_model_yelp_polarity_32_100 AlbertForSequenceClassification from simonycl
+author: John Snow Labs
+name: best_model_yelp_polarity_32_100
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`best_model_yelp_polarity_32_100` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/best_model_yelp_polarity_32_100_en_5.5.0_3.0_1726013594619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/best_model_yelp_polarity_32_100_en_5.5.0_3.0_1726013594619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|best_model_yelp_polarity_32_100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/simonycl/best_model-yelp_polarity-32-100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_english_vietnamese_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_english_vietnamese_model_pipeline_en.md
new file mode 100644
index 00000000000000..7830eb99441048
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_english_vietnamese_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_english_vietnamese_model_pipeline pipeline MarianTransformer from Kudod
+author: John Snow Labs
+name: burmese_awesome_english_vietnamese_model_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_english_vietnamese_model_pipeline` is a English model originally trained by Kudod.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_english_vietnamese_model_pipeline_en_5.5.0_3.0_1726073261986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_english_vietnamese_model_pipeline_en_5.5.0_3.0_1726073261986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_english_vietnamese_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_english_vietnamese_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_english_vietnamese_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|595.0 MB|
+
+## References
+
+https://huggingface.co/Kudod/my_awesome_en_vi_model
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_patchingfailed_en.md b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_patchingfailed_en.md
new file mode 100644
index 00000000000000..005d3494942dae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_patchingfailed_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_patchingfailed DistilBertForSequenceClassification from patchingfailed
+author: John Snow Labs
+name: burmese_awesome_model_patchingfailed
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_patchingfailed` is a English model originally trained by patchingfailed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_patchingfailed_en_5.5.0_3.0_1726052092612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_patchingfailed_en_5.5.0_3.0_1726052092612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_patchingfailed|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/patchingfailed/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_patchingfailed_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_patchingfailed_pipeline_en.md
new file mode 100644
index 00000000000000..e0dc989f1c2418
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_patchingfailed_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_patchingfailed_pipeline pipeline DistilBertForSequenceClassification from patchingfailed
+author: John Snow Labs
+name: burmese_awesome_model_patchingfailed_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_patchingfailed_pipeline` is a English model originally trained by patchingfailed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_patchingfailed_pipeline_en_5.5.0_3.0_1726052104730.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_patchingfailed_pipeline_en_5.5.0_3.0_1726052104730.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_patchingfailed_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_patchingfailed_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_patchingfailed_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/patchingfailed/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_qa_model_30len_en.md b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_qa_model_30len_en.md
new file mode 100644
index 00000000000000..c6b8bd495406a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_qa_model_30len_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_30len RoBertaForQuestionAnswering from yashwan2003
+author: John Snow Labs
+name: burmese_awesome_qa_model_30len
+date: 2024-09-11
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_30len` is a English model originally trained by yashwan2003.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_30len_en_5.5.0_3.0_1726036583112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_30len_en_5.5.0_3.0_1726036583112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_setfit_model_pablongo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/Pablongo/my-awesome-setfit-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-deberta_v3_base_finetuned_cola_en.md b/docs/_posts/ahmedlone127/2024-09-11-deberta_v3_base_finetuned_cola_en.md
new file mode 100644
index 00000000000000..35348a45dd645a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-deberta_v3_base_finetuned_cola_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_base_finetuned_cola DeBertaForSequenceClassification from manyet1k
+author: John Snow Labs
+name: deberta_v3_base_finetuned_cola
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_base_finetuned_cola` is a English model originally trained by manyet1k.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_base_finetuned_cola_en_5.5.0_3.0_1726099028615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_base_finetuned_cola_en_5.5.0_3.0_1726099028615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_base_finetuned_cola|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|586.7 MB|
+
+## References
+
+https://huggingface.co/manyet1k/deberta-v3-base-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-deberta_v3_large_survey_related_passage_consistency_rater_gpt4_en.md b/docs/_posts/ahmedlone127/2024-09-11-deberta_v3_large_survey_related_passage_consistency_rater_gpt4_en.md
new file mode 100644
index 00000000000000..0f3b9c0d4dd671
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-deberta_v3_large_survey_related_passage_consistency_rater_gpt4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_large_survey_related_passage_consistency_rater_gpt4 DeBertaForSequenceClassification from domenicrosati
+author: John Snow Labs
+name: deberta_v3_large_survey_related_passage_consistency_rater_gpt4
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_survey_related_passage_consistency_rater_gpt4` is a English model originally trained by domenicrosati.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_survey_related_passage_consistency_rater_gpt4_en_5.5.0_3.0_1726029645322.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_survey_related_passage_consistency_rater_gpt4_en_5.5.0_3.0_1726029645322.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_large_survey_related_passage_consistency_rater_gpt4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/domenicrosati/deberta-v3-large-survey-related_passage_consistency-rater-gpt4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-did_the_doctor_thank_the_patient_for_his_treatment_oriya_wanted_tonga_tonga_islands_belarusian_healthy_bert_last128_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-did_the_doctor_thank_the_patient_for_his_treatment_oriya_wanted_tonga_tonga_islands_belarusian_healthy_bert_last128_pipeline_en.md
new file mode 100644
index 00000000000000..830b7b160ee942
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-did_the_doctor_thank_the_patient_for_his_treatment_oriya_wanted_tonga_tonga_islands_belarusian_healthy_bert_last128_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English did_the_doctor_thank_the_patient_for_his_treatment_oriya_wanted_tonga_tonga_islands_belarusian_healthy_bert_last128_pipeline pipeline BertForSequenceClassification from etadevosyan
+author: John Snow Labs
+name: did_the_doctor_thank_the_patient_for_his_treatment_oriya_wanted_tonga_tonga_islands_belarusian_healthy_bert_last128_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`did_the_doctor_thank_the_patient_for_his_treatment_oriya_wanted_tonga_tonga_islands_belarusian_healthy_bert_last128_pipeline` is a English model originally trained by etadevosyan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/did_the_doctor_thank_the_patient_for_his_treatment_oriya_wanted_tonga_tonga_islands_belarusian_healthy_bert_last128_pipeline_en_5.5.0_3.0_1726092523391.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/did_the_doctor_thank_the_patient_for_his_treatment_oriya_wanted_tonga_tonga_islands_belarusian_healthy_bert_last128_pipeline_en_5.5.0_3.0_1726092523391.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("did_the_doctor_thank_the_patient_for_his_treatment_oriya_wanted_tonga_tonga_islands_belarusian_healthy_bert_last128_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("did_the_doctor_thank_the_patient_for_his_treatment_oriya_wanted_tonga_tonga_islands_belarusian_healthy_bert_last128_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|did_the_doctor_thank_the_patient_for_his_treatment_oriya_wanted_tonga_tonga_islands_belarusian_healthy_bert_last128_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/etadevosyan/did_the_doctor_thank_the_patient_for_his_treatment_or_wanted_to_be_healthy_bert_Last128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_2_pipeline_en.md
new file mode 100644
index 00000000000000..fade05e7c2fb6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_2_pipeline pipeline DistilBertForTokenClassification from bisoye
+author: John Snow Labs
+name: distilbert_base_uncased_2_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_2_pipeline` is a English model originally trained by bisoye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_2_pipeline_en_5.5.0_3.0_1726093323539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_2_pipeline_en_5.5.0_3.0_1726093323539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bisoye/distilbert-base-uncased_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_clinc_saqidr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_clinc_saqidr_pipeline_en.md
new file mode 100644
index 00000000000000..709f803e0bbc3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_clinc_saqidr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_saqidr_pipeline pipeline DistilBertForSequenceClassification from saqidr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_saqidr_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_saqidr_pipeline` is a English model originally trained by saqidr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_saqidr_pipeline_en_5.5.0_3.0_1726052202991.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_saqidr_pipeline_en_5.5.0_3.0_1726052202991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_saqidr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_saqidr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_saqidr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/saqidr/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_emotion_ttellner_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_emotion_ttellner_en.md
new file mode 100644
index 00000000000000..6a254176d540d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_emotion_ttellner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ttellner DistilBertForSequenceClassification from ttellner
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ttellner
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ttellner` is a English model originally trained by ttellner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ttellner_en_5.5.0_3.0_1726014552276.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ttellner_en_5.5.0_3.0_1726014552276.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ttellner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ttellner/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_events_v6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_events_v6_pipeline_en.md
new file mode 100644
index 00000000000000..3519a72b98d670
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_events_v6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_events_v6_pipeline pipeline DistilBertForSequenceClassification from joedonino
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_events_v6_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_events_v6_pipeline` is a English model originally trained by joedonino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_events_v6_pipeline_en_5.5.0_3.0_1726017866126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_events_v6_pipeline_en_5.5.0_3.0_1726017866126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_events_v6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_events_v6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_events_v6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/joedonino/distilbert-base-uncased-finetuned-events-v6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut5_plprefix0stlarge_simsp100_clean200_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut5_plprefix0stlarge_simsp100_clean200_en.md
new file mode 100644
index 00000000000000..27ca4911c51e9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut5_plprefix0stlarge_simsp100_clean200_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st7sd_ut72ut5_plprefix0stlarge_simsp100_clean200 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st7sd_ut72ut5_plprefix0stlarge_simsp100_clean200
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st7sd_ut72ut5_plprefix0stlarge_simsp100_clean200` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st7sd_ut72ut5_plprefix0stlarge_simsp100_clean200_en_5.5.0_3.0_1726014218360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st7sd_ut72ut5_plprefix0stlarge_simsp100_clean200_en_5.5.0_3.0_1726014218360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st7sd_ut72ut5_plprefix0stlarge_simsp100_clean200|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st7sd_ut72ut5_PLPrefix0stlarge_simsp100_clean200
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..2a190cb9ec5311
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp_pipeline_en_5.5.0_3.0_1726017706941.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp_pipeline_en_5.5.0_3.0_1726017706941.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st9sd_ut72ut1large9PfxNf_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_qa_aqg_chuvash_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_qa_aqg_chuvash_squad_pipeline_en.md
new file mode 100644
index 00000000000000..78173b9586cb5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_qa_aqg_chuvash_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_qa_aqg_chuvash_squad_pipeline pipeline DistilBertForQuestionAnswering from sunitha
+author: John Snow Labs
+name: distilbert_qa_aqg_chuvash_squad_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_qa_aqg_chuvash_squad_pipeline` is a English model originally trained by sunitha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_aqg_chuvash_squad_pipeline_en_5.5.0_3.0_1726087879238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_aqg_chuvash_squad_pipeline_en_5.5.0_3.0_1726087879238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_qa_aqg_chuvash_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_qa_aqg_chuvash_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_aqg_chuvash_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sunitha/AQG_CV_Squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilroberta_base_etc_sym_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilroberta_base_etc_sym_pipeline_en.md
new file mode 100644
index 00000000000000..79811dc295a03a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilroberta_base_etc_sym_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_etc_sym_pipeline pipeline RoBertaForSequenceClassification from agi-css
+author: John Snow Labs
+name: distilroberta_base_etc_sym_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_etc_sym_pipeline` is a English model originally trained by agi-css.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_etc_sym_pipeline_en_5.5.0_3.0_1726054021995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_etc_sym_pipeline_en_5.5.0_3.0_1726054021995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_etc_sym_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_etc_sym_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_etc_sym_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/agi-css/distilroberta-base-etc-sym
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-europarl_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-europarl_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..9d83e12193e56b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-europarl_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English europarl_roberta_base_pipeline pipeline RoBertaEmbeddings from abhi1nandy2
+author: John Snow Labs
+name: europarl_roberta_base_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`europarl_roberta_base_pipeline` is a English model originally trained by abhi1nandy2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/europarl_roberta_base_pipeline_en_5.5.0_3.0_1726024371662.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/europarl_roberta_base_pipeline_en_5.5.0_3.0_1726024371662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("europarl_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("europarl_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|europarl_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/abhi1nandy2/Europarl-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-frabert_distilbert_base_uncased_train_en.md b/docs/_posts/ahmedlone127/2024-09-11-frabert_distilbert_base_uncased_train_en.md
new file mode 100644
index 00000000000000..ae5881eb69aa02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-frabert_distilbert_base_uncased_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English frabert_distilbert_base_uncased_train DistilBertForSequenceClassification from Francesco0101
+author: John Snow Labs
+name: frabert_distilbert_base_uncased_train
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`frabert_distilbert_base_uncased_train` is a English model originally trained by Francesco0101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/frabert_distilbert_base_uncased_train_en_5.5.0_3.0_1726052581508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/frabert_distilbert_base_uncased_train_en_5.5.0_3.0_1726052581508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frabert_distilbert_base_uncased_train|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Francesco0101/FRABERT-distilbert-base-uncased-TRAIN
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-hate_hate_random0_seed2_twitter_roberta_base_dec2020_en.md b/docs/_posts/ahmedlone127/2024-09-11-hate_hate_random0_seed2_twitter_roberta_base_dec2020_en.md
new file mode 100644
index 00000000000000..417c1caee23697
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-hate_hate_random0_seed2_twitter_roberta_base_dec2020_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_random0_seed2_twitter_roberta_base_dec2020 RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random0_seed2_twitter_roberta_base_dec2020
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random0_seed2_twitter_roberta_base_dec2020` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random0_seed2_twitter_roberta_base_dec2020_en_5.5.0_3.0_1726095793954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random0_seed2_twitter_roberta_base_dec2020_en_5.5.0_3.0_1726095793954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random0_seed2_twitter_roberta_base_dec2020|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random0_seed2-twitter-roberta-base-dec2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-job_title_classify_isco_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-job_title_classify_isco_pipeline_en.md
new file mode 100644
index 00000000000000..1e6d509a8085db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-job_title_classify_isco_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English job_title_classify_isco_pipeline pipeline BertForSequenceClassification from razzaghi
+author: John Snow Labs
+name: job_title_classify_isco_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`job_title_classify_isco_pipeline` is a English model originally trained by razzaghi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/job_title_classify_isco_pipeline_en_5.5.0_3.0_1726015497133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/job_title_classify_isco_pipeline_en_5.5.0_3.0_1726015497133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("job_title_classify_isco_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("job_title_classify_isco_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|job_title_classify_isco_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/razzaghi/job_title_classify_isco
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-mdeberta_base_v3_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-mdeberta_base_v3_1_pipeline_en.md
new file mode 100644
index 00000000000000..29c4fcb9363cb7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-mdeberta_base_v3_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mdeberta_base_v3_1_pipeline pipeline DeBertaForSequenceClassification from alyazharr
+author: John Snow Labs
+name: mdeberta_base_v3_1_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mdeberta_base_v3_1_pipeline` is a English model originally trained by alyazharr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mdeberta_base_v3_1_pipeline_en_5.5.0_3.0_1726029851256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mdeberta_base_v3_1_pipeline_en_5.5.0_3.0_1726029851256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mdeberta_base_v3_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mdeberta_base_v3_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mdeberta_base_v3_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|832.6 MB|
+
+## References
+
+https://huggingface.co/alyazharr/mdeberta_base_v3_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-modelolongformerbecas_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-modelolongformerbecas_pipeline_en.md
new file mode 100644
index 00000000000000..56d86f499341dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-modelolongformerbecas_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English modelolongformerbecas_pipeline pipeline RoBertaForQuestionAnswering from jonasaid
+author: John Snow Labs
+name: modelolongformerbecas_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modelolongformerbecas_pipeline` is a English model originally trained by jonasaid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modelolongformerbecas_pipeline_en_5.5.0_3.0_1726058091234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modelolongformerbecas_pipeline_en_5.5.0_3.0_1726058091234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("modelolongformerbecas_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("modelolongformerbecas_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelolongformerbecas_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|473.3 MB|
+
+## References
+
+https://huggingface.co/jonasaid/modeloLongformerBecas
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-mxbai_personality_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-mxbai_personality_pipeline_en.md
new file mode 100644
index 00000000000000..641c9d5855c279
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-mxbai_personality_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mxbai_personality_pipeline pipeline MPNetEmbeddings from dwulff
+author: John Snow Labs
+name: mxbai_personality_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mxbai_personality_pipeline` is a English model originally trained by dwulff.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mxbai_personality_pipeline_en_5.5.0_3.0_1726054810759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mxbai_personality_pipeline_en_5.5.0_3.0_1726054810759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mxbai_personality_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mxbai_personality_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mxbai_personality_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/dwulff/mxbai-personality
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-nerd_nerd_temporal_twitter_roberta_base_dec2020_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-nerd_nerd_temporal_twitter_roberta_base_dec2020_pipeline_en.md
new file mode 100644
index 00000000000000..2597ee896e49fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-nerd_nerd_temporal_twitter_roberta_base_dec2020_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nerd_nerd_temporal_twitter_roberta_base_dec2020_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_temporal_twitter_roberta_base_dec2020_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_temporal_twitter_roberta_base_dec2020_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_temporal_twitter_roberta_base_dec2020_pipeline_en_5.5.0_3.0_1726081909035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_temporal_twitter_roberta_base_dec2020_pipeline_en_5.5.0_3.0_1726081909035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nerd_nerd_temporal_twitter_roberta_base_dec2020_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nerd_nerd_temporal_twitter_roberta_base_dec2020_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_temporal_twitter_roberta_base_dec2020_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_temporal-twitter-roberta-base-dec2020
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-nlp_hf_workshop_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-11-nlp_hf_workshop_distilbert_en.md
new file mode 100644
index 00000000000000..0c68fc665f04b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-nlp_hf_workshop_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp_hf_workshop_distilbert DistilBertForSequenceClassification from mspoulaei
+author: John Snow Labs
+name: nlp_hf_workshop_distilbert
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_hf_workshop_distilbert` is a English model originally trained by mspoulaei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_hf_workshop_distilbert_en_5.5.0_3.0_1726014993777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_hf_workshop_distilbert_en_5.5.0_3.0_1726014993777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_hf_workshop_distilbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/mspoulaei/NLP_HF_Workshop_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_big_enfr_ft_wang_2022_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_big_enfr_ft_wang_2022_pipeline_en.md
new file mode 100644
index 00000000000000..dee54da36f9344
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_big_enfr_ft_wang_2022_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_big_enfr_ft_wang_2022_pipeline pipeline MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_big_enfr_ft_wang_2022_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_big_enfr_ft_wang_2022_pipeline` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_big_enfr_ft_wang_2022_pipeline_en_5.5.0_3.0_1726037615433.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_big_enfr_ft_wang_2022_pipeline_en_5.5.0_3.0_1726037615433.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_big_enfr_ft_wang_2022_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_big_enfr_ft_wang_2022_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_big_enfr_ft_wang_2022_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ethansimrm/opus_big_enfr_FT_wang_2022
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en100_pipeline_en.md
new file mode 100644
index 00000000000000..6ec5229c512227
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en100_pipeline pipeline MarianTransformer from alphahg
+author: John Snow Labs
+name: opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en100_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en100_pipeline` is a English model originally trained by alphahg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en100_pipeline_en_5.5.0_3.0_1726050435456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en100_pipeline_en_5.5.0_3.0_1726050435456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.2 MB|
+
+## References
+
+https://huggingface.co/alphahg/opus-mt-ko-en-finetuned-ko-to-en100
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_spanish_english_finetuned_npomo_english_10_epochs_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_spanish_english_finetuned_npomo_english_10_epochs_en.md
new file mode 100644
index 00000000000000..b13336dd1af07c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_spanish_english_finetuned_npomo_english_10_epochs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_spanish_english_finetuned_npomo_english_10_epochs MarianTransformer from UnassumingOwl
+author: John Snow Labs
+name: opus_maltese_spanish_english_finetuned_npomo_english_10_epochs
+date: 2024-09-11
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_spanish_english_finetuned_npomo_english_10_epochs` is a English model originally trained by UnassumingOwl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_spanish_english_finetuned_npomo_english_10_epochs_en_5.5.0_3.0_1726038497063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_spanish_english_finetuned_npomo_english_10_epochs_en_5.5.0_3.0_1726038497063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_spanish_english_finetuned_npomo_english_10_epochs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|539.3 MB|
+
+## References
+
+https://huggingface.co/UnassumingOwl/opus-mt-es-en-finetuned-npomo-en-10-epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-orig_refpydst_5p_referredstates_split_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-orig_refpydst_5p_referredstates_split_v1_pipeline_en.md
new file mode 100644
index 00000000000000..f6030a0d24feb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-orig_refpydst_5p_referredstates_split_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English orig_refpydst_5p_referredstates_split_v1_pipeline pipeline MPNetEmbeddings from Brendan
+author: John Snow Labs
+name: orig_refpydst_5p_referredstates_split_v1_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`orig_refpydst_5p_referredstates_split_v1_pipeline` is a English model originally trained by Brendan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/orig_refpydst_5p_referredstates_split_v1_pipeline_en_5.5.0_3.0_1726034160797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/orig_refpydst_5p_referredstates_split_v1_pipeline_en_5.5.0_3.0_1726034160797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("orig_refpydst_5p_referredstates_split_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("orig_refpydst_5p_referredstates_split_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|orig_refpydst_5p_referredstates_split_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/Brendan/orig-refpydst-5p-referredstates-split-v1
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-predict_dermat_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-11-predict_dermat_pipeline_es.md
new file mode 100644
index 00000000000000..68d1eb3459c253
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-predict_dermat_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish predict_dermat_pipeline pipeline RoBertaForSequenceClassification from fundacionctic
+author: John Snow Labs
+name: predict_dermat_pipeline
+date: 2024-09-11
+tags: [es, open_source, pipeline, onnx]
+task: Text Classification
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`predict_dermat_pipeline` is a Castilian, Spanish model originally trained by fundacionctic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/predict_dermat_pipeline_es_5.5.0_3.0_1726063004517.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/predict_dermat_pipeline_es_5.5.0_3.0_1726063004517.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("predict_dermat_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("predict_dermat_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|predict_dermat_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|431.5 MB|
+
+## References
+
+https://huggingface.co/fundacionctic/predict-dermat
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_base_epoch_15_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_epoch_15_pipeline_en.md
new file mode 100644
index 00000000000000..b1e10b4c4b1a9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_epoch_15_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_15_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_15_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_15_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_15_pipeline_en_5.5.0_3.0_1726094295857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_15_pipeline_en_5.5.0_3.0_1726094295857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_15_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_15_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_15_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.2 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_15
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_base_finetuned_squad_squad_covid_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_finetuned_squad_squad_covid_pipeline_en.md
new file mode 100644
index 00000000000000..cd8f1574d89879
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_finetuned_squad_squad_covid_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_base_finetuned_squad_squad_covid_pipeline pipeline RoBertaForQuestionAnswering from ahcene-ikram
+author: John Snow Labs
+name: roberta_base_finetuned_squad_squad_covid_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_squad_squad_covid_pipeline` is a English model originally trained by ahcene-ikram.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_squad_squad_covid_pipeline_en_5.5.0_3.0_1726039449433.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_squad_squad_covid_pipeline_en_5.5.0_3.0_1726039449433.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_squad_squad_covid_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_squad_squad_covid_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_squad_squad_covid_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.0 MB|
+
+## References
+
+https://huggingface.co/ahcene-ikram/roberta-base-finetuned-squad-squad-covid
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_finetuned_chennaiqa_10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_finetuned_chennaiqa_10_pipeline_en.md
new file mode 100644
index 00000000000000..6351e8161b53b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_finetuned_chennaiqa_10_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_chennaiqa_10_pipeline pipeline RoBertaForQuestionAnswering from aditi2212
+author: John Snow Labs
+name: roberta_finetuned_chennaiqa_10_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_chennaiqa_10_pipeline` is a English model originally trained by aditi2212.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_chennaiqa_10_pipeline_en_5.5.0_3.0_1726036746163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_chennaiqa_10_pipeline_en_5.5.0_3.0_1726036746163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_chennaiqa_10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_chennaiqa_10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_chennaiqa_10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.6 MB|
+
+## References
+
+https://huggingface.co/aditi2212/roberta-finetuned-ChennaiQA-10
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_finetuned_subjqa_movies_2_manishonly_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_finetuned_subjqa_movies_2_manishonly_en.md
new file mode 100644
index 00000000000000..32b58881dc1df2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_finetuned_subjqa_movies_2_manishonly_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_manishonly RoBertaForQuestionAnswering from Manishonly
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_manishonly
+date: 2024-09-11
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_manishonly` is a English model originally trained by Manishonly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_manishonly_en_5.5.0_3.0_1726036611400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_manishonly_en_5.5.0_3.0_1726036611400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_squad2_fine_tuned_3e|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/marwanimroz18/roberta-large-squad2-fine-tuned-3e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_qa_base_squad_finetuned_on_runaways_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_qa_base_squad_finetuned_on_runaways_en.md
new file mode 100644
index 00000000000000..bc8f7edda4304a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_qa_base_squad_finetuned_on_runaways_en.md
@@ -0,0 +1,92 @@
+---
+layout: model
+title: English RobertaForQuestionAnswering Base Cased model (from Nadav)
+author: John Snow Labs
+name: roberta_qa_base_squad_finetuned_on_runaways
+date: 2024-09-11
+tags: [en, open_source, roberta, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RobertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `roberta-base-squad-finetuned-on-runaways-en` is a English model originally trained by `Nadav`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_qa_base_squad_finetuned_on_runaways_en_5.5.0_3.0_1726036226246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_qa_base_squad_finetuned_on_runaways_en_5.5.0_3.0_1726036226246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = RoBertaForQuestionAnswering.pretrained("roberta_qa_base_squad_finetuned_on_runaways","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = RoBertaForQuestionAnswering.pretrained("roberta_qa_base_squad_finetuned_on_runaways","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_qa_base_squad_finetuned_on_runaways|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+References
+
+- https://huggingface.co/Nadav/roberta-base-squad-finetuned-on-runaways-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_vaers_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_vaers_en.md
new file mode 100644
index 00000000000000..dda0ccaa6c5a66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_vaers_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_vaers RoBertaForSequenceClassification from paragon-analytics
+author: John Snow Labs
+name: roberta_vaers
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_vaers` is a English model originally trained by paragon-analytics.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_vaers_en_5.5.0_3.0_1726071140306.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_vaers_en_5.5.0_3.0_1726071140306.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|salamathankstransformer_en2fil_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|496.6 MB|
+
+## References
+
+https://huggingface.co/SalamaThanks/SalamaThanksTransformer_en2fil_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-sanskrit_saskta_tweet_bert_large_e3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-sanskrit_saskta_tweet_bert_large_e3_pipeline_en.md
new file mode 100644
index 00000000000000..fee278e9b4d5ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-sanskrit_saskta_tweet_bert_large_e3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sanskrit_saskta_tweet_bert_large_e3_pipeline pipeline RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sanskrit_saskta_tweet_bert_large_e3_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sanskrit_saskta_tweet_bert_large_e3_pipeline` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_tweet_bert_large_e3_pipeline_en_5.5.0_3.0_1726022238783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_tweet_bert_large_e3_pipeline_en_5.5.0_3.0_1726022238783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sanskrit_saskta_tweet_bert_large_e3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sanskrit_saskta_tweet_bert_large_e3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sanskrit_saskta_tweet_bert_large_e3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/JerryYanJiang/SA-tweet-bert-large-e3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-sent_bert_base_standard_bahasa_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-sent_bert_base_standard_bahasa_cased_pipeline_en.md
new file mode 100644
index 00000000000000..1b0c34c22c81ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-sent_bert_base_standard_bahasa_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_standard_bahasa_cased_pipeline pipeline BertSentenceEmbeddings from mesolitica
+author: John Snow Labs
+name: sent_bert_base_standard_bahasa_cased_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_standard_bahasa_cased_pipeline` is a English model originally trained by mesolitica.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_standard_bahasa_cased_pipeline_en_5.5.0_3.0_1726056965875.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_standard_bahasa_cased_pipeline_en_5.5.0_3.0_1726056965875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_standard_bahasa_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_standard_bahasa_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_standard_bahasa_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|413.2 MB|
+
+## References
+
+https://huggingface.co/mesolitica/bert-base-standard-bahasa-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-sent_legalbertpt_fp_en.md b/docs/_posts/ahmedlone127/2024-09-11-sent_legalbertpt_fp_en.md
new file mode 100644
index 00000000000000..871d8a2c3306a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-sent_legalbertpt_fp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_legalbertpt_fp BertSentenceEmbeddings from raquelsilveira
+author: John Snow Labs
+name: sent_legalbertpt_fp
+date: 2024-09-11
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_legalbertpt_fp` is a English model originally trained by raquelsilveira.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_legalbertpt_fp_en_5.5.0_3.0_1726080809082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_legalbertpt_fp_en_5.5.0_3.0_1726080809082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_legalbertpt_fp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|405.8 MB|
+
+## References
+
+https://huggingface.co/raquelsilveira/legalbertpt_fp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-sentiment_analysis_pi_duboij_en.md b/docs/_posts/ahmedlone127/2024-09-11-sentiment_analysis_pi_duboij_en.md
new file mode 100644
index 00000000000000..9c222617dcbc59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-sentiment_analysis_pi_duboij_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_analysis_pi_duboij RoBertaForSequenceClassification from DuboiJ
+author: John Snow Labs
+name: sentiment_analysis_pi_duboij
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_pi_duboij` is a English model originally trained by DuboiJ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_pi_duboij_en_5.5.0_3.0_1726081959176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_pi_duboij_en_5.5.0_3.0_1726081959176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_pi_duboij|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|423.8 MB|
+
+## References
+
+https://huggingface.co/DuboiJ/Sentiment_analysis_PI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-stack_overflow_open_status_classifier_portuguese_warm_supervised_120_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-stack_overflow_open_status_classifier_portuguese_warm_supervised_120_pipeline_en.md
new file mode 100644
index 00000000000000..1910afb2ccd09a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-stack_overflow_open_status_classifier_portuguese_warm_supervised_120_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stack_overflow_open_status_classifier_portuguese_warm_supervised_120_pipeline pipeline AlbertForSequenceClassification from reubenjohn
+author: John Snow Labs
+name: stack_overflow_open_status_classifier_portuguese_warm_supervised_120_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stack_overflow_open_status_classifier_portuguese_warm_supervised_120_pipeline` is a English model originally trained by reubenjohn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stack_overflow_open_status_classifier_portuguese_warm_supervised_120_pipeline_en_5.5.0_3.0_1726013387534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stack_overflow_open_status_classifier_portuguese_warm_supervised_120_pipeline_en_5.5.0_3.0_1726013387534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stack_overflow_open_status_classifier_portuguese_warm_supervised_120_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stack_overflow_open_status_classifier_portuguese_warm_supervised_120_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stack_overflow_open_status_classifier_portuguese_warm_supervised_120_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.3 MB|
+
+## References
+
+https://huggingface.co/reubenjohn/stack-overflow-open-status-classifier-pt-warm-supervised-120
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-stance_twi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-stance_twi_pipeline_en.md
new file mode 100644
index 00000000000000..1f83111783b4fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-stance_twi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stance_twi_pipeline pipeline RoBertaForSequenceClassification from eevvgg
+author: John Snow Labs
+name: stance_twi_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stance_twi_pipeline` is a English model originally trained by eevvgg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stance_twi_pipeline_en_5.5.0_3.0_1726053641283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stance_twi_pipeline_en_5.5.0_3.0_1726053641283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stance_twi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stance_twi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stance_twi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/eevvgg/Stance-Tw
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-t5_kazakh_question_generation_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-t5_kazakh_question_generation_pipeline_en.md
new file mode 100644
index 00000000000000..0b559975986d57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-t5_kazakh_question_generation_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English t5_kazakh_question_generation_pipeline pipeline T5Transformer from llmprojectkaz
+author: John Snow Labs
+name: t5_kazakh_question_generation_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: [Question Answering, Summarization, Translation, Text Generation]
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t5_kazakh_question_generation_pipeline` is a English model originally trained by llmprojectkaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t5_kazakh_question_generation_pipeline_en_5.5.0_3.0_1726075384815.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t5_kazakh_question_generation_pipeline_en_5.5.0_3.0_1726075384815.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("t5_kazakh_question_generation_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("t5_kazakh_question_generation_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t5_kazakh_question_generation_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|2.9 GB|
+
+## References
+
+https://huggingface.co/llmprojectkaz/t5-kazakh-question-generation
+
+## Included Models
+
+- DocumentAssembler
+- T5Transformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-telugu_bertu_sayula_popoluca_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-telugu_bertu_sayula_popoluca_pipeline_en.md
new file mode 100644
index 00000000000000..7567ec8e496d84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-telugu_bertu_sayula_popoluca_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English telugu_bertu_sayula_popoluca_pipeline pipeline BertForTokenClassification from kuppuluri
+author: John Snow Labs
+name: telugu_bertu_sayula_popoluca_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`telugu_bertu_sayula_popoluca_pipeline` is a English model originally trained by kuppuluri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/telugu_bertu_sayula_popoluca_pipeline_en_5.5.0_3.0_1726026741799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/telugu_bertu_sayula_popoluca_pipeline_en_5.5.0_3.0_1726026741799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("telugu_bertu_sayula_popoluca_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("telugu_bertu_sayula_popoluca_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|telugu_bertu_sayula_popoluca_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.6 MB|
+
+## References
+
+https://huggingface.co/kuppuluri/telugu_bertu_pos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-teroberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-teroberta_pipeline_en.md
new file mode 100644
index 00000000000000..1034ff025ba802
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-teroberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English teroberta_pipeline pipeline RoBertaEmbeddings from subbareddyiiit
+author: John Snow Labs
+name: teroberta_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`teroberta_pipeline` is a English model originally trained by subbareddyiiit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/teroberta_pipeline_en_5.5.0_3.0_1726031913943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/teroberta_pipeline_en_5.5.0_3.0_1726031913943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("teroberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("teroberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|teroberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|901.4 MB|
+
+## References
+
+https://huggingface.co/subbareddyiiit/TeRobeRta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-test_trainer_greatakela_en.md b/docs/_posts/ahmedlone127/2024-09-11-test_trainer_greatakela_en.md
new file mode 100644
index 00000000000000..95cd6e685657cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-test_trainer_greatakela_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_trainer_greatakela DistilBertForSequenceClassification from greatakela
+author: John Snow Labs
+name: test_trainer_greatakela
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_trainer_greatakela` is a English model originally trained by greatakela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_greatakela_en_5.5.0_3.0_1726018039676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_greatakela_en_5.5.0_3.0_1726018039676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_greatakela|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/greatakela/test-trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_english_royam0820_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_english_royam0820_en.md
new file mode 100644
index 00000000000000..d5179a9ed0f037
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_english_royam0820_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_royam0820 XlmRoBertaForTokenClassification from royam0820
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_royam0820
+date: 2024-09-11
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_royam0820` is a English model originally trained by royam0820.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_royam0820_en_5.5.0_3.0_1726019964007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_royam0820_en_5.5.0_3.0_1726019964007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_royam0820|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/royam0820/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_lkk688_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_lkk688_pipeline_en.md
new file mode 100644
index 00000000000000..50282157b5edc5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_lkk688_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_lkk688_pipeline pipeline XlmRoBertaForTokenClassification from lkk688
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_lkk688_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_lkk688_pipeline` is a English model originally trained by lkk688.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_lkk688_pipeline_en_5.5.0_3.0_1726046664851.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_lkk688_pipeline_en_5.5.0_3.0_1726046664851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_lkk688_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_lkk688_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_lkk688_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/lkk688/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_y629_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_y629_en.md
new file mode 100644
index 00000000000000..45f91a6d5efd69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_y629_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_y629 XlmRoBertaForTokenClassification from y629
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_y629
+date: 2024-09-11
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_y629` is a English model originally trained by y629.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_y629_en_5.5.0_3.0_1726078834036.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_y629_en_5.5.0_3.0_1726078834036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_y629|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/y629/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_ontonotesv5_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_ontonotesv5_english_pipeline_en.md
new file mode 100644
index 00000000000000..a98baef5ee7589
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_ontonotesv5_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_ontonotesv5_english_pipeline pipeline XlmRoBertaForTokenClassification from Amir13
+author: John Snow Labs
+name: xlm_roberta_base_ontonotesv5_english_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_ontonotesv5_english_pipeline` is a English model originally trained by Amir13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_ontonotesv5_english_pipeline_en_5.5.0_3.0_1726046637502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_ontonotesv5_english_pipeline_en_5.5.0_3.0_1726046637502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_ontonotesv5_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_ontonotesv5_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_ontonotesv5_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.1 MB|
+
+## References
+
+https://huggingface.co/Amir13/xlm-roberta-base-ontonotesv5-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-221026optimizedmodel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-221026optimizedmodel_pipeline_en.md
new file mode 100644
index 00000000000000..b4331dfd695f08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-221026optimizedmodel_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 221026optimizedmodel_pipeline pipeline RoBertaForSequenceClassification from AsceticShibs
+author: John Snow Labs
+name: 221026optimizedmodel_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`221026optimizedmodel_pipeline` is a English model originally trained by AsceticShibs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/221026optimizedmodel_pipeline_en_5.5.0_3.0_1726118012674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/221026optimizedmodel_pipeline_en_5.5.0_3.0_1726118012674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("221026optimizedmodel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("221026optimizedmodel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|221026optimizedmodel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|467.7 MB|
+
+## References
+
+https://huggingface.co/AsceticShibs/221026OptimizedModel
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-any_news_classifier_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-09-12-any_news_classifier_pipeline_ru.md
new file mode 100644
index 00000000000000..0acf3d61d20e20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-any_news_classifier_pipeline_ru.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Russian any_news_classifier_pipeline pipeline BertForSequenceClassification from data-silence
+author: John Snow Labs
+name: any_news_classifier_pipeline
+date: 2024-09-12
+tags: [ru, open_source, pipeline, onnx]
+task: Text Classification
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`any_news_classifier_pipeline` is a Russian model originally trained by data-silence.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/any_news_classifier_pipeline_ru_5.5.0_3.0_1726123994059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/any_news_classifier_pipeline_ru_5.5.0_3.0_1726123994059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("any_news_classifier_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("any_news_classifier_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|any_news_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|1.8 GB|
+
+## References
+
+https://huggingface.co/data-silence/any-news-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-args_me_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-args_me_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..c74dc0f80887c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-args_me_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English args_me_roberta_base_pipeline pipeline RoBertaEmbeddings from ragarwal
+author: John Snow Labs
+name: args_me_roberta_base_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`args_me_roberta_base_pipeline` is a English model originally trained by ragarwal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/args_me_roberta_base_pipeline_en_5.5.0_3.0_1726109214768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/args_me_roberta_base_pipeline_en_5.5.0_3.0_1726109214768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("args_me_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("args_me_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|args_me_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/ragarwal/args-me-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed6_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed6_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..c4821bfb1e9eea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed6_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed6_finetuned_squad_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed6_finetuned_squad_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed6_finetuned_squad_pipeline` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1726176098952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1726176098952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed6_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed6_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed6_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-aochildes_2.5M_wikipedia1_2.5M-with-Masking-seed6-finetuned-SQuAD
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-babyberta_wikipedia1_2_5m_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-babyberta_wikipedia1_2_5m_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..71d5930c3bd28e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-babyberta_wikipedia1_2_5m_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_wikipedia1_2_5m_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_wikipedia1_2_5m_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_wikipedia1_2_5m_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia1_2_5m_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1726107005216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia1_2_5m_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1726107005216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_wikipedia1_2_5m_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_wikipedia1_2_5m_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_wikipedia1_2_5m_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-wikipedia1_2.5M_aochildes_2.5M-without-Masking-seed6-finetuned-SQuAD
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_eli5_mlm_model_nicedanger4u_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_eli5_mlm_model_nicedanger4u_pipeline_en.md
new file mode 100644
index 00000000000000..72aa4364e4b7ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_eli5_mlm_model_nicedanger4u_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_nicedanger4u_pipeline pipeline RoBertaEmbeddings from NiceDanger4U
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_nicedanger4u_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_nicedanger4u_pipeline` is a English model originally trained by NiceDanger4U.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_nicedanger4u_pipeline_en_5.5.0_3.0_1726112939975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_nicedanger4u_pipeline_en_5.5.0_3.0_1726112939975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_eli5_mlm_model_nicedanger4u_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_nicedanger4u_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_nicedanger4u_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/NiceDanger4U/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_qa_model_annajohn_en.md b/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_qa_model_annajohn_en.md
new file mode 100644
index 00000000000000..2f529ca4fc737f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_qa_model_annajohn_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_annajohn DistilBertForQuestionAnswering from annajohn
+author: John Snow Labs
+name: burmese_awesome_qa_model_annajohn
+date: 2024-09-12
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_annajohn` is a English model originally trained by annajohn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_annajohn_en_5.5.0_3.0_1726180301785.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_annajohn_en_5.5.0_3.0_1726180301785.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_annajohn|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/annajohn/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_qa_model_gsl22_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_qa_model_gsl22_pipeline_en.md
new file mode 100644
index 00000000000000..2a4cb35275aeec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_qa_model_gsl22_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_gsl22_pipeline pipeline RoBertaForQuestionAnswering from gsl22
+author: John Snow Labs
+name: burmese_awesome_qa_model_gsl22_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_gsl22_pipeline` is a English model originally trained by gsl22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_gsl22_pipeline_en_5.5.0_3.0_1726175729402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_gsl22_pipeline_en_5.5.0_3.0_1726175729402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_gsl22_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_gsl22_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_gsl22_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.6 MB|
+
+## References
+
+https://huggingface.co/gsl22/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-calender_event_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-calender_event_classification_pipeline_en.md
new file mode 100644
index 00000000000000..0afb743ee4b8b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-calender_event_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English calender_event_classification_pipeline pipeline DistilBertForSequenceClassification from Indramal
+author: John Snow Labs
+name: calender_event_classification_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`calender_event_classification_pipeline` is a English model originally trained by Indramal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/calender_event_classification_pipeline_en_5.5.0_3.0_1726125209167.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/calender_event_classification_pipeline_en_5.5.0_3.0_1726125209167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("calender_event_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("calender_event_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|calender_event_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Indramal/Calender-Event-Classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-cbdc_sentiment_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-cbdc_sentiment_bert_pipeline_en.md
new file mode 100644
index 00000000000000..0203eacb6986a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-cbdc_sentiment_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cbdc_sentiment_bert_pipeline pipeline BertForSequenceClassification from JonasOuatt
+author: John Snow Labs
+name: cbdc_sentiment_bert_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cbdc_sentiment_bert_pipeline` is a English model originally trained by JonasOuatt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cbdc_sentiment_bert_pipeline_en_5.5.0_3.0_1726104218438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cbdc_sentiment_bert_pipeline_en_5.5.0_3.0_1726104218438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cbdc_sentiment_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cbdc_sentiment_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cbdc_sentiment_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/JonasOuatt/CBDC-sentiment-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-checkpoint_124500_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-checkpoint_124500_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..b6dba6878b487e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-checkpoint_124500_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English checkpoint_124500_finetuned_squad_pipeline pipeline DistilBertForQuestionAnswering from botika
+author: John Snow Labs
+name: checkpoint_124500_finetuned_squad_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`checkpoint_124500_finetuned_squad_pipeline` is a English model originally trained by botika.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/checkpoint_124500_finetuned_squad_pipeline_en_5.5.0_3.0_1726180582484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/checkpoint_124500_finetuned_squad_pipeline_en_5.5.0_3.0_1726180582484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("checkpoint_124500_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("checkpoint_124500_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|checkpoint_124500_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/botika/checkpoint-124500-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-coha1910s_en.md b/docs/_posts/ahmedlone127/2024-09-12-coha1910s_en.md
new file mode 100644
index 00000000000000..f176607cc4aa52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-coha1910s_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English coha1910s RoBertaEmbeddings from simonmun
+author: John Snow Labs
+name: coha1910s
+date: 2024-09-12
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`coha1910s` is a English model originally trained by simonmun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/coha1910s_en_5.5.0_3.0_1726185434313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/coha1910s_en_5.5.0_3.0_1726185434313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|danish_distilbert_base_uncased_nlp_feup|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/NLP-FEUP/DA-distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-deberta_v3_small_finetuned_hate_speech18_narrativaai_en.md b/docs/_posts/ahmedlone127/2024-09-12-deberta_v3_small_finetuned_hate_speech18_narrativaai_en.md
new file mode 100644
index 00000000000000..10d16251763126
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-deberta_v3_small_finetuned_hate_speech18_narrativaai_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_small_finetuned_hate_speech18_narrativaai DeBertaForSequenceClassification from Narrativaai
+author: John Snow Labs
+name: deberta_v3_small_finetuned_hate_speech18_narrativaai
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_small_finetuned_hate_speech18_narrativaai` is a English model originally trained by Narrativaai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_small_finetuned_hate_speech18_narrativaai_en_5.5.0_3.0_1726163442748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_small_finetuned_hate_speech18_narrativaai_en_5.5.0_3.0_1726163442748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_small_finetuned_hate_speech18_narrativaai|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.3 MB|
+
+## References
+
+https://huggingface.co/Narrativaai/deberta-v3-small-finetuned-hate_speech18
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-deberta_v3_xsmall_survey_rater_combined_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-deberta_v3_xsmall_survey_rater_combined_pipeline_en.md
new file mode 100644
index 00000000000000..50dd88301caed4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-deberta_v3_xsmall_survey_rater_combined_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_xsmall_survey_rater_combined_pipeline pipeline DeBertaForSequenceClassification from domenicrosati
+author: John Snow Labs
+name: deberta_v3_xsmall_survey_rater_combined_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_xsmall_survey_rater_combined_pipeline` is a English model originally trained by domenicrosati.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_xsmall_survey_rater_combined_pipeline_en_5.5.0_3.0_1726168662492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_xsmall_survey_rater_combined_pipeline_en_5.5.0_3.0_1726168662492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_xsmall_survey_rater_combined_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_xsmall_survey_rater_combined_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_xsmall_survey_rater_combined_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|233.8 MB|
+
+## References
+
+https://huggingface.co/domenicrosati/deberta-v3-xsmall-survey-rater-combined
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-distilbert_base_uncased_distilled_squad_finetuned_squad_kranasian_en.md b/docs/_posts/ahmedlone127/2024-09-12-distilbert_base_uncased_distilled_squad_finetuned_squad_kranasian_en.md
new file mode 100644
index 00000000000000..5add91e59f209a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-distilbert_base_uncased_distilled_squad_finetuned_squad_kranasian_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_squad_finetuned_squad_kranasian DistilBertForQuestionAnswering from kranasian
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_squad_finetuned_squad_kranasian
+date: 2024-09-12
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_squad_finetuned_squad_kranasian` is a English model originally trained by kranasian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_squad_finetuned_squad_kranasian_en_5.5.0_3.0_1726180605548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_squad_finetuned_squad_kranasian_en_5.5.0_3.0_1726180605548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_accelerate_marcosautuori|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/MarcosAutuori/distilbert-base-uncased-finetuned-imdb-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-distilbert_qa_pytorch_full_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-distilbert_qa_pytorch_full_pipeline_en.md
new file mode 100644
index 00000000000000..4f4cb66f0f4bd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-distilbert_qa_pytorch_full_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_qa_pytorch_full_pipeline pipeline DistilBertForQuestionAnswering from tyavika
+author: John Snow Labs
+name: distilbert_qa_pytorch_full_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_qa_pytorch_full_pipeline` is a English model originally trained by tyavika.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_pytorch_full_pipeline_en_5.5.0_3.0_1726180805130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_pytorch_full_pipeline_en_5.5.0_3.0_1726180805130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_qa_pytorch_full_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_qa_pytorch_full_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_pytorch_full_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/tyavika/Distilbert-QA-Pytorch-FULL
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_en.md b/docs/_posts/ahmedlone127/2024-09-12-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_en.md
new file mode 100644
index 00000000000000..6a58dc300ebcb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_en_5.5.0_3.0_1726100782595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_en_5.5.0_3.0_1726100782595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|251.0 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_qnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_256_en.md b/docs/_posts/ahmedlone127/2024-09-12-distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_256_en.md
new file mode 100644
index 00000000000000..73cbe97797c41f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_256_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_256 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_256
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_256` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_256_en_5.5.0_3.0_1726100451863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_wnli_256_en_5.5.0_3.0_1726100451863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_zhtw|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|541.9 MB|
+
+## References
+
+https://huggingface.co/agentlans/en-zhtw
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-ethnicity_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-ethnicity_model_pipeline_en.md
new file mode 100644
index 00000000000000..f4afadd17cb35a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-ethnicity_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ethnicity_model_pipeline pipeline BertForSequenceClassification from BananaFish45
+author: John Snow Labs
+name: ethnicity_model_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ethnicity_model_pipeline` is a English model originally trained by BananaFish45.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ethnicity_model_pipeline_en_5.5.0_3.0_1726123121151.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ethnicity_model_pipeline_en_5.5.0_3.0_1726123121151.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ethnicity_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ethnicity_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ethnicity_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/BananaFish45/Ethnicity_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-fine_tune_spatial_validation_en.md b/docs/_posts/ahmedlone127/2024-09-12-fine_tune_spatial_validation_en.md
new file mode 100644
index 00000000000000..cb043837ab924a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-fine_tune_spatial_validation_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English fine_tune_spatial_validation RoBertaForQuestionAnswering from dflcmu
+author: John Snow Labs
+name: fine_tune_spatial_validation
+date: 2024-09-12
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_spatial_validation` is a English model originally trained by dflcmu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_spatial_validation_en_5.5.0_3.0_1726106590856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_spatial_validation_en_5.5.0_3.0_1726106590856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_spatial_validation|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|463.6 MB|
+
+## References
+
+https://huggingface.co/dflcmu/fine_tune_spatial_validation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-fine_tuned_roberta_roamify_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-fine_tuned_roberta_roamify_pipeline_en.md
new file mode 100644
index 00000000000000..754b1b0024cbc4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-fine_tuned_roberta_roamify_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fine_tuned_roberta_roamify_pipeline pipeline RoBertaForQuestionAnswering from Roamify
+author: John Snow Labs
+name: fine_tuned_roberta_roamify_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_roberta_roamify_pipeline` is a English model originally trained by Roamify.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_roberta_roamify_pipeline_en_5.5.0_3.0_1726176227267.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_roberta_roamify_pipeline_en_5.5.0_3.0_1726176227267.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_roberta_roamify_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_roberta_roamify_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_roberta_roamify_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|419.9 MB|
+
+## References
+
+https://huggingface.co/Roamify/fine-tuned-roberta
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-flat_model_en.md b/docs/_posts/ahmedlone127/2024-09-12-flat_model_en.md
new file mode 100644
index 00000000000000..ffe06ff24add12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-flat_model_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English flat_model DistilBertForQuestionAnswering from rugvedabodke
+author: John Snow Labs
+name: flat_model
+date: 2024-09-12
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`flat_model` is a English model originally trained by rugvedabodke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/flat_model_en_5.5.0_3.0_1726180574683.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/flat_model_en_5.5.0_3.0_1726180574683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|flat_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/rugvedabodke/flat_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-hw001_lostck_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-hw001_lostck_pipeline_en.md
new file mode 100644
index 00000000000000..f6e24eade8c87b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-hw001_lostck_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hw001_lostck_pipeline pipeline DistilBertForSequenceClassification from lostck
+author: John Snow Labs
+name: hw001_lostck_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw001_lostck_pipeline` is a English model originally trained by lostck.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw001_lostck_pipeline_en_5.5.0_3.0_1726124933026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw001_lostck_pipeline_en_5.5.0_3.0_1726124933026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hw001_lostck_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hw001_lostck_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw001_lostck_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lostck/HW001
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-iwslt17_marian_small_ctx8_cwd0_english_french_en.md b/docs/_posts/ahmedlone127/2024-09-12-iwslt17_marian_small_ctx8_cwd0_english_french_en.md
new file mode 100644
index 00000000000000..93c805496a54b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-iwslt17_marian_small_ctx8_cwd0_english_french_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English iwslt17_marian_small_ctx8_cwd0_english_french MarianTransformer from context-mt
+author: John Snow Labs
+name: iwslt17_marian_small_ctx8_cwd0_english_french
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iwslt17_marian_small_ctx8_cwd0_english_french` is a English model originally trained by context-mt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iwslt17_marian_small_ctx8_cwd0_english_french_en_5.5.0_3.0_1726126724941.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iwslt17_marian_small_ctx8_cwd0_english_french_en_5.5.0_3.0_1726126724941.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|iwslt17_marian_small_ctx8_cwd0_english_french|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.4 MB|
+
+## References
+
+https://huggingface.co/context-mt/iwslt17-marian-small-ctx8-cwd0-en-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-lab1_finetuning_zeen0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-lab1_finetuning_zeen0_pipeline_en.md
new file mode 100644
index 00000000000000..246c27a0a8232e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-lab1_finetuning_zeen0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lab1_finetuning_zeen0_pipeline pipeline MarianTransformer from Zeen0
+author: John Snow Labs
+name: lab1_finetuning_zeen0_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab1_finetuning_zeen0_pipeline` is a English model originally trained by Zeen0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_finetuning_zeen0_pipeline_en_5.5.0_3.0_1726160843959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_finetuning_zeen0_pipeline_en_5.5.0_3.0_1726160843959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lab1_finetuning_zeen0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lab1_finetuning_zeen0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_finetuning_zeen0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/Zeen0/lab1_finetuning
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-lusa_events_en.md b/docs/_posts/ahmedlone127/2024-09-12-lusa_events_en.md
new file mode 100644
index 00000000000000..359a8ab1941db1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-lusa_events_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lusa_events BertForTokenClassification from lfcc
+author: John Snow Labs
+name: lusa_events
+date: 2024-09-12
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lusa_events` is a English model originally trained by lfcc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lusa_events_en_5.5.0_3.0_1726174650335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lusa_events_en_5.5.0_3.0_1726174650335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lusa_events|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/lfcc/lusa_events
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-lusa_events_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-lusa_events_pipeline_en.md
new file mode 100644
index 00000000000000..032c5afaea6f1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-lusa_events_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lusa_events_pipeline pipeline BertForTokenClassification from lfcc
+author: John Snow Labs
+name: lusa_events_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lusa_events_pipeline` is a English model originally trained by lfcc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lusa_events_pipeline_en_5.5.0_3.0_1726174669288.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lusa_events_pipeline_en_5.5.0_3.0_1726174669288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lusa_events_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lusa_events_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lusa_events_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/lfcc/lusa_events
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-maltese_coref_english_hebrew_modern_coref_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-maltese_coref_english_hebrew_modern_coref_pipeline_en.md
new file mode 100644
index 00000000000000..18008944072214
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-maltese_coref_english_hebrew_modern_coref_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English maltese_coref_english_hebrew_modern_coref_pipeline pipeline MarianTransformer from nlphuji
+author: John Snow Labs
+name: maltese_coref_english_hebrew_modern_coref_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`maltese_coref_english_hebrew_modern_coref_pipeline` is a English model originally trained by nlphuji.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/maltese_coref_english_hebrew_modern_coref_pipeline_en_5.5.0_3.0_1726126611004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maltese_coref_english_hebrew_modern_coref_pipeline_en_5.5.0_3.0_1726126611004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("maltese_coref_english_hebrew_modern_coref_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("maltese_coref_english_hebrew_modern_coref_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maltese_coref_english_hebrew_modern_coref_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|545.7 MB|
+
+## References
+
+https://huggingface.co/nlphuji/mt_coref_en_he_coref
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tsobolev_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tsobolev_pipeline_en.md
new file mode 100644
index 00000000000000..42e7b4c39e6e7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tsobolev_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tsobolev_pipeline pipeline MarianTransformer from tsobolev
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tsobolev_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tsobolev_pipeline` is a English model originally trained by tsobolev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tsobolev_pipeline_en_5.5.0_3.0_1726167677671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tsobolev_pipeline_en_5.5.0_3.0_1726167677671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tsobolev_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tsobolev_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tsobolev_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.8 MB|
+
+## References
+
+https://huggingface.co/tsobolev/marian-finetuned-kde4-en-to-fr-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-mdeberta_v3_base_amazon_massive_intent_en.md b/docs/_posts/ahmedlone127/2024-09-12-mdeberta_v3_base_amazon_massive_intent_en.md
new file mode 100644
index 00000000000000..2966c659b335c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-mdeberta_v3_base_amazon_massive_intent_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mdeberta_v3_base_amazon_massive_intent DeBertaForSequenceClassification from cartesinus
+author: John Snow Labs
+name: mdeberta_v3_base_amazon_massive_intent
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mdeberta_v3_base_amazon_massive_intent` is a English model originally trained by cartesinus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mdeberta_v3_base_amazon_massive_intent_en_5.5.0_3.0_1726162941500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mdeberta_v3_base_amazon_massive_intent_en_5.5.0_3.0_1726162941500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mdeberta_v3_base_amazon_massive_intent|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|839.3 MB|
+
+## References
+
+https://huggingface.co/cartesinus/mdeberta-v3-base_amazon-massive_intent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-medical_tiny_english_1_1v_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-medical_tiny_english_1_1v_pipeline_en.md
new file mode 100644
index 00000000000000..366e5f6b2fef9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-medical_tiny_english_1_1v_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English medical_tiny_english_1_1v_pipeline pipeline WhisperForCTC from Dev372
+author: John Snow Labs
+name: medical_tiny_english_1_1v_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medical_tiny_english_1_1v_pipeline` is a English model originally trained by Dev372.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medical_tiny_english_1_1v_pipeline_en_5.5.0_3.0_1726137073505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medical_tiny_english_1_1v_pipeline_en_5.5.0_3.0_1726137073505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("medical_tiny_english_1_1v_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("medical_tiny_english_1_1v_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medical_tiny_english_1_1v_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|395.1 MB|
+
+## References
+
+https://huggingface.co/Dev372/Medical_tiny_en_1_1v
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-opus_big_fine_freq_wce_unsampled_en.md b/docs/_posts/ahmedlone127/2024-09-12-opus_big_fine_freq_wce_unsampled_en.md
new file mode 100644
index 00000000000000..59f7ee0e81b7ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-opus_big_fine_freq_wce_unsampled_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_big_fine_freq_wce_unsampled MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_big_fine_freq_wce_unsampled
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_big_fine_freq_wce_unsampled` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_big_fine_freq_wce_unsampled_en_5.5.0_3.0_1726161501166.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_big_fine_freq_wce_unsampled_en_5.5.0_3.0_1726161501166.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_big_fine_freq_wce_unsampled|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ethansimrm/opus_big_fine_freq_wce_unsampled
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_indonesian_jakarta_best_loss_bleu_en.md b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_indonesian_jakarta_best_loss_bleu_en.md
new file mode 100644
index 00000000000000..32d4fc5d1b7424
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_indonesian_jakarta_best_loss_bleu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_indonesian_jakarta_best_loss_bleu MarianTransformer from yonathanstwn
+author: John Snow Labs
+name: opus_maltese_english_indonesian_jakarta_best_loss_bleu
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_indonesian_jakarta_best_loss_bleu` is a English model originally trained by yonathanstwn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_indonesian_jakarta_best_loss_bleu_en_5.5.0_3.0_1726160815988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_indonesian_jakarta_best_loss_bleu_en_5.5.0_3.0_1726160815988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_indonesian_jakarta_best_loss_bleu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|482.1 MB|
+
+## References
+
+https://huggingface.co/yonathanstwn/opus-mt-en-id-jakarta-best-loss-bleu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_en.md b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_en.md
new file mode 100644
index 00000000000000..66b2330a802a9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka MarianTransformer from BukaByaka
+author: John Snow Labs
+name: opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka` is a English model originally trained by BukaByaka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_en_5.5.0_3.0_1726167248584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_en_5.5.0_3.0_1726167248584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|526.4 MB|
+
+## References
+
+https://huggingface.co/BukaByaka/opus-mt-ru-en-finetuned-en-to-ru
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_pipeline_en.md
new file mode 100644
index 00000000000000..499048025d61e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_pipeline pipeline MarianTransformer from BukaByaka
+author: John Snow Labs
+name: opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_pipeline` is a English model originally trained by BukaByaka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_pipeline_en_5.5.0_3.0_1726167278408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_pipeline_en_5.5.0_3.0_1726167278408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_bukabyaka_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|526.9 MB|
+
+## References
+
+https://huggingface.co/BukaByaka/opus-mt-ru-en-finetuned-en-to-ru
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-prototipo_4_emi_en.md b/docs/_posts/ahmedlone127/2024-09-12-prototipo_4_emi_en.md
new file mode 100644
index 00000000000000..406fd85c1a6c0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-prototipo_4_emi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English prototipo_4_emi DistilBertForSequenceClassification from Armandodelca
+author: John Snow Labs
+name: prototipo_4_emi
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prototipo_4_emi` is a English model originally trained by Armandodelca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prototipo_4_emi_en_5.5.0_3.0_1726125026098.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prototipo_4_emi_en_5.5.0_3.0_1726125026098.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_squad_seymacakir|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/SeymaCakir/roberta-large-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-roberta_large_three_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-roberta_large_three_classification_pipeline_en.md
new file mode 100644
index 00000000000000..c593ef92eb28e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-roberta_large_three_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_three_classification_pipeline pipeline RoBertaForSequenceClassification from hagara
+author: John Snow Labs
+name: roberta_large_three_classification_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_three_classification_pipeline` is a English model originally trained by hagara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_three_classification_pipeline_en_5.5.0_3.0_1726117699892.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_three_classification_pipeline_en_5.5.0_3.0_1726117699892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_three_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_three_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_three_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/hagara/roberta-large-three-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-roberta_mrqa_old_en.md b/docs/_posts/ahmedlone127/2024-09-12-roberta_mrqa_old_en.md
new file mode 100644
index 00000000000000..69a7ff22db7d13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-roberta_mrqa_old_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_mrqa_old RoBertaForQuestionAnswering from enriquesaou
+author: John Snow Labs
+name: roberta_mrqa_old
+date: 2024-09-12
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_mrqa_old` is a English model originally trained by enriquesaou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_mrqa_old_en_5.5.0_3.0_1726107019891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_mrqa_old_en_5.5.0_3.0_1726107019891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_qarib60_1970k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|504.9 MB|
+
+## References
+
+https://huggingface.co/qarib/bert-base-qarib60_1970k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-twitter_scratch_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-twitter_scratch_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..7076aab2bb873e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-twitter_scratch_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_scratch_roberta_base_pipeline pipeline RoBertaEmbeddings from cardiffnlp
+author: John Snow Labs
+name: twitter_scratch_roberta_base_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_scratch_roberta_base_pipeline` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_scratch_roberta_base_pipeline_en_5.5.0_3.0_1726109395895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_scratch_roberta_base_pipeline_en_5.5.0_3.0_1726109395895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_scratch_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_scratch_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_scratch_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.0 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-scratch-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-whisper_base_cv16_hungarian_v2_pipeline_hu.md b/docs/_posts/ahmedlone127/2024-09-12-whisper_base_cv16_hungarian_v2_pipeline_hu.md
new file mode 100644
index 00000000000000..067ed5e2e0108a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-whisper_base_cv16_hungarian_v2_pipeline_hu.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hungarian whisper_base_cv16_hungarian_v2_pipeline pipeline WhisperForCTC from Hungarians
+author: John Snow Labs
+name: whisper_base_cv16_hungarian_v2_pipeline
+date: 2024-09-12
+tags: [hu, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hu
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_cv16_hungarian_v2_pipeline` is a Hungarian model originally trained by Hungarians.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_cv16_hungarian_v2_pipeline_hu_5.5.0_3.0_1726151920697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_cv16_hungarian_v2_pipeline_hu_5.5.0_3.0_1726151920697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_cv16_hungarian_v2_pipeline", lang = "hu")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_cv16_hungarian_v2_pipeline", lang = "hu")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_cv16_hungarian_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hu|
+|Size:|638.3 MB|
+
+## References
+
+https://huggingface.co/Hungarians/whisper-base-cv16-hu-v2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-whisper_small_arabic_2_ar.md b/docs/_posts/ahmedlone127/2024-09-12-whisper_small_arabic_2_ar.md
new file mode 100644
index 00000000000000..4beafdfd6ac384
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-whisper_small_arabic_2_ar.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Arabic whisper_small_arabic_2 WhisperForCTC from UAEpro
+author: John Snow Labs
+name: whisper_small_arabic_2
+date: 2024-09-12
+tags: [ar, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_arabic_2` is a Arabic model originally trained by UAEpro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_2_ar_5.5.0_3.0_1726137152667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_2_ar_5.5.0_3.0_1726137152667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_arabic_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ar|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/UAEpro/whisper-small-ar-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-whisper_small_taiwanese_yuweiiizz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-whisper_small_taiwanese_yuweiiizz_pipeline_en.md
new file mode 100644
index 00000000000000..71c83e5727408a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-whisper_small_taiwanese_yuweiiizz_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_taiwanese_yuweiiizz_pipeline pipeline WhisperForCTC from yuweiiizz
+author: John Snow Labs
+name: whisper_small_taiwanese_yuweiiizz_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_taiwanese_yuweiiizz_pipeline` is a English model originally trained by yuweiiizz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_taiwanese_yuweiiizz_pipeline_en_5.5.0_3.0_1726135931062.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_taiwanese_yuweiiizz_pipeline_en_5.5.0_3.0_1726135931062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_taiwanese_yuweiiizz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_taiwanese_yuweiiizz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_taiwanese_yuweiiizz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/yuweiiizz/whisper-small-taiwanese
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_final_vietnam_aug_replace_bert_2_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_final_vietnam_aug_replace_bert_2_en.md
new file mode 100644
index 00000000000000..afef67c8c9f41e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_final_vietnam_aug_replace_bert_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_final_vietnam_aug_replace_bert_2 XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_vietnam_aug_replace_bert_2
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_vietnam_aug_replace_bert_2` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_vietnam_aug_replace_bert_2_en_5.5.0_3.0_1726147119157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_vietnam_aug_replace_bert_2_en_5.5.0_3.0_1726147119157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_vietnam_aug_replace_bert_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|794.4 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_VietNam-aug_replace_BERT-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_english_sorabe_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_english_sorabe_pipeline_en.md
new file mode 100644
index 00000000000000..7423240312782f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_english_sorabe_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_sorabe_pipeline pipeline XlmRoBertaForTokenClassification from SORABE
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_sorabe_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_sorabe_pipeline` is a English model originally trained by SORABE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_sorabe_pipeline_en_5.5.0_3.0_1726164758491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_sorabe_pipeline_en_5.5.0_3.0_1726164758491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_sorabe_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_sorabe_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_sorabe_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|814.3 MB|
+
+## References
+
+https://huggingface.co/SORABE/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_french_jx7789_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_french_jx7789_pipeline_en.md
new file mode 100644
index 00000000000000..dfdaaa0ef125d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_french_jx7789_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_jx7789_pipeline pipeline XlmRoBertaForTokenClassification from jx7789
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_jx7789_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_jx7789_pipeline` is a English model originally trained by jx7789.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_jx7789_pipeline_en_5.5.0_3.0_1726131611153.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_jx7789_pipeline_en_5.5.0_3.0_1726131611153.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_jx7789_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_jx7789_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_jx7789_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/jx7789/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_french_pstary_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_french_pstary_en.md
new file mode 100644
index 00000000000000..cc1d993a8ec321
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_french_pstary_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_pstary XlmRoBertaForTokenClassification from Pstary
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_pstary
+date: 2024-09-12
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_pstary` is a English model originally trained by Pstary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_pstary_en_5.5.0_3.0_1726156619423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_pstary_en_5.5.0_3.0_1726156619423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_pstary|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/Pstary/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_french_abdus_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_french_abdus_en.md
new file mode 100644
index 00000000000000..a6c756b3995fb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_french_abdus_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_abdus XlmRoBertaForTokenClassification from abdus
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_abdus
+date: 2024-09-12
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_abdus` is a English model originally trained by abdus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_abdus_en_5.5.0_3.0_1726156323696.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_abdus_en_5.5.0_3.0_1726156323696.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_abdus|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/abdus/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_french_amartyobanerjee_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_french_amartyobanerjee_pipeline_en.md
new file mode 100644
index 00000000000000..f4b0617514bcb0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_french_amartyobanerjee_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_amartyobanerjee_pipeline pipeline XlmRoBertaForTokenClassification from amartyobanerjee
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_amartyobanerjee_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_amartyobanerjee_pipeline` is a English model originally trained by amartyobanerjee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_amartyobanerjee_pipeline_en_5.5.0_3.0_1726159758933.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_amartyobanerjee_pipeline_en_5.5.0_3.0_1726159758933.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_amartyobanerjee_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_amartyobanerjee_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_amartyobanerjee_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/amartyobanerjee/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_french_pstary_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_french_pstary_pipeline_en.md
new file mode 100644
index 00000000000000..a1cbca2ed29aad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_french_pstary_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_pstary_pipeline pipeline XlmRoBertaForTokenClassification from Pstary
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_pstary_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_pstary_pipeline` is a English model originally trained by Pstary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_pstary_pipeline_en_5.5.0_3.0_1726160306217.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_pstary_pipeline_en_5.5.0_3.0_1726160306217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_pstary_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_pstary_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_pstary_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/Pstary/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_mshirae3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_mshirae3_pipeline_en.md
new file mode 100644
index 00000000000000..67477d30ac4621
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_mshirae3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_mshirae3_pipeline pipeline XlmRoBertaForTokenClassification from mshirae3
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_mshirae3_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_mshirae3_pipeline` is a English model originally trained by mshirae3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_mshirae3_pipeline_en_5.5.0_3.0_1726130332967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_mshirae3_pipeline_en_5.5.0_3.0_1726130332967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_mshirae3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_mshirae3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_mshirae3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/mshirae3/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_hindi_deepaperi_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_hindi_deepaperi_en.md
new file mode 100644
index 00000000000000..5e4b8c1d2a4e20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_hindi_deepaperi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_hindi_deepaperi XlmRoBertaForTokenClassification from DeepaPeri
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_hindi_deepaperi
+date: 2024-09-12
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_hindi_deepaperi` is a English model originally trained by DeepaPeri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_hindi_deepaperi_en_5.5.0_3.0_1726116854558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_hindi_deepaperi_en_5.5.0_3.0_1726116854558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_aochildes_french_wikipedia_french_without_masking_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-aochildes-french_wikipedia_french-without-Masking-finetuned-SQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-bert_ner_custom_vasanth_en.md b/docs/_posts/ahmedlone127/2024-09-13-bert_ner_custom_vasanth_en.md
new file mode 100644
index 00000000000000..5a67f0e4532cb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-bert_ner_custom_vasanth_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_ner_custom_vasanth BertForTokenClassification from Vasanth
+author: John Snow Labs
+name: bert_ner_custom_vasanth
+date: 2024-09-13
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_custom_vasanth` is a English model originally trained by Vasanth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_custom_vasanth_en_5.5.0_3.0_1726268141347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_custom_vasanth_en_5.5.0_3.0_1726268141347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_custom_vasanth|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Vasanth/bert-ner-custom
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-bert_ner_custom_vasanth_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-bert_ner_custom_vasanth_pipeline_en.md
new file mode 100644
index 00000000000000..f8d3d1cf34d1d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-bert_ner_custom_vasanth_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_ner_custom_vasanth_pipeline pipeline BertForTokenClassification from Vasanth
+author: John Snow Labs
+name: bert_ner_custom_vasanth_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_custom_vasanth_pipeline` is a English model originally trained by Vasanth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_custom_vasanth_pipeline_en_5.5.0_3.0_1726268159839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_custom_vasanth_pipeline_en_5.5.0_3.0_1726268159839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_ner_custom_vasanth_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_ner_custom_vasanth_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_custom_vasanth_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Vasanth/bert-ner-custom
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-bertatweetgr_pipeline_el.md b/docs/_posts/ahmedlone127/2024-09-13-bertatweetgr_pipeline_el.md
new file mode 100644
index 00000000000000..576cc580584e14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-bertatweetgr_pipeline_el.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Modern Greek (1453-) bertatweetgr_pipeline pipeline RoBertaEmbeddings from Konstantinos
+author: John Snow Labs
+name: bertatweetgr_pipeline
+date: 2024-09-13
+tags: [el, open_source, pipeline, onnx]
+task: Embeddings
+language: el
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertatweetgr_pipeline` is a Modern Greek (1453-) model originally trained by Konstantinos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertatweetgr_pipeline_el_5.5.0_3.0_1726197597591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertatweetgr_pipeline_el_5.5.0_3.0_1726197597591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bertatweetgr_pipeline", lang = "el")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertatweetgr_pipeline", lang = "el")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertatweetgr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|el|
+|Size:|312.0 MB|
+
+## References
+
+https://huggingface.co/Konstantinos/BERTaTweetGR
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-bulbert_wiki_bulgarian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-bulbert_wiki_bulgarian_pipeline_en.md
new file mode 100644
index 00000000000000..3d3d9cca79a5c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-bulbert_wiki_bulgarian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bulbert_wiki_bulgarian_pipeline pipeline RoBertaEmbeddings from mor40
+author: John Snow Labs
+name: bulbert_wiki_bulgarian_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bulbert_wiki_bulgarian_pipeline` is a English model originally trained by mor40.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bulbert_wiki_bulgarian_pipeline_en_5.5.0_3.0_1726197151634.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bulbert_wiki_bulgarian_pipeline_en_5.5.0_3.0_1726197151634.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bulbert_wiki_bulgarian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bulbert_wiki_bulgarian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bulbert_wiki_bulgarian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.8 MB|
+
+## References
+
+https://huggingface.co/mor40/BulBERT-wiki-bg
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_mikeldiez_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_mikeldiez_pipeline_en.md
new file mode 100644
index 00000000000000..b8e24c5aaf84b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_mikeldiez_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_mikeldiez_pipeline pipeline DistilBertForQuestionAnswering from mikeldiez
+author: John Snow Labs
+name: burmese_awesome_qa_model_mikeldiez_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_mikeldiez_pipeline` is a English model originally trained by mikeldiez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_mikeldiez_pipeline_en_5.5.0_3.0_1726267139370.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_mikeldiez_pipeline_en_5.5.0_3.0_1726267139370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_mikeldiez_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_mikeldiez_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_mikeldiez_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/mikeldiez/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_samira1234_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_samira1234_pipeline_en.md
new file mode 100644
index 00000000000000..1aee7acdce2cc0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_samira1234_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_samira1234_pipeline pipeline DistilBertForQuestionAnswering from samira1234
+author: John Snow Labs
+name: burmese_awesome_qa_model_samira1234_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_samira1234_pipeline` is a English model originally trained by samira1234.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_samira1234_pipeline_en_5.5.0_3.0_1726266934955.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_samira1234_pipeline_en_5.5.0_3.0_1726266934955.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_samira1234_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_samira1234_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_samira1234_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/samira1234/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-crowspairs_trainer_roberta_large_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-crowspairs_trainer_roberta_large_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..d6c952a122b408
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-crowspairs_trainer_roberta_large_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English crowspairs_trainer_roberta_large_finetuned_pipeline pipeline RoBertaForSequenceClassification from henryscheible
+author: John Snow Labs
+name: crowspairs_trainer_roberta_large_finetuned_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`crowspairs_trainer_roberta_large_finetuned_pipeline` is a English model originally trained by henryscheible.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/crowspairs_trainer_roberta_large_finetuned_pipeline_en_5.5.0_3.0_1726247117619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/crowspairs_trainer_roberta_large_finetuned_pipeline_en_5.5.0_3.0_1726247117619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("crowspairs_trainer_roberta_large_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("crowspairs_trainer_roberta_large_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|crowspairs_trainer_roberta_large_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/henryscheible/crowspairs_trainer_roberta-large_finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-das_rest2cam_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-das_rest2cam_pipeline_en.md
new file mode 100644
index 00000000000000..d998486a40b39d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-das_rest2cam_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English das_rest2cam_pipeline pipeline RoBertaEmbeddings from UIC-Liu-Lab
+author: John Snow Labs
+name: das_rest2cam_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`das_rest2cam_pipeline` is a English model originally trained by UIC-Liu-Lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/das_rest2cam_pipeline_en_5.5.0_3.0_1726264988140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/das_rest2cam_pipeline_en_5.5.0_3.0_1726264988140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("das_rest2cam_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("das_rest2cam_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|das_rest2cam_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/UIC-Liu-Lab/DAS-Rest2Cam
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-deberta_amazon_reviews_v1_westernmonster_en.md b/docs/_posts/ahmedlone127/2024-09-13-deberta_amazon_reviews_v1_westernmonster_en.md
new file mode 100644
index 00000000000000..ba779c6ab9627f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-deberta_amazon_reviews_v1_westernmonster_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_amazon_reviews_v1_westernmonster DeBertaForSequenceClassification from westernmonster
+author: John Snow Labs
+name: deberta_amazon_reviews_v1_westernmonster
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_amazon_reviews_v1_westernmonster` is a English model originally trained by westernmonster.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_amazon_reviews_v1_westernmonster_en_5.5.0_3.0_1726190248635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_amazon_reviews_v1_westernmonster_en_5.5.0_3.0_1726190248635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_amazon_reviews_v1_westernmonster|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|621.2 MB|
+
+## References
+
+https://huggingface.co/westernmonster/deberta_amazon_reviews_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4_en.md b/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4_en.md
new file mode 100644
index 00000000000000..d4599c41d8db46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4 DeBertaForSequenceClassification from domenicrosati
+author: John Snow Labs
+name: deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4` is a English model originally trained by domenicrosati.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4_en_5.5.0_3.0_1726199795612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4_en_5.5.0_3.0_1726199795612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/domenicrosati/deberta-v3-large-survey-related_passage_consistency-rater-half-gpt4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_dmitry2000_en.md b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_dmitry2000_en.md
new file mode 100644
index 00000000000000..258e3c284e0376
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_dmitry2000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_dmitry2000 DistilBertForSequenceClassification from Dmitry2000
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_dmitry2000
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dmitry2000` is a English model originally trained by Dmitry2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dmitry2000_en_5.5.0_3.0_1726262739526.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dmitry2000_en_5.5.0_3.0_1726262739526.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_nahomk|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/nahomk/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-distilbert_uncased_finetuned_ecommerce_reviews_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-distilbert_uncased_finetuned_ecommerce_reviews_pipeline_en.md
new file mode 100644
index 00000000000000..a9f3b870020560
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-distilbert_uncased_finetuned_ecommerce_reviews_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_uncased_finetuned_ecommerce_reviews_pipeline pipeline DistilBertForSequenceClassification from sayandg
+author: John Snow Labs
+name: distilbert_uncased_finetuned_ecommerce_reviews_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_uncased_finetuned_ecommerce_reviews_pipeline` is a English model originally trained by sayandg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_uncased_finetuned_ecommerce_reviews_pipeline_en_5.5.0_3.0_1726242813008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_uncased_finetuned_ecommerce_reviews_pipeline_en_5.5.0_3.0_1726242813008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_uncased_finetuned_ecommerce_reviews_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_uncased_finetuned_ecommerce_reviews_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_uncased_finetuned_ecommerce_reviews_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sayandg/distilbert_uncased_finetuned_ecommerce_reviews
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-distilroberta_nli_en.md b/docs/_posts/ahmedlone127/2024-09-13-distilroberta_nli_en.md
new file mode 100644
index 00000000000000..d73ade60bb9420
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-distilroberta_nli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_nli RoBertaForSequenceClassification from AdamCodd
+author: John Snow Labs
+name: distilroberta_nli
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_nli` is a English model originally trained by AdamCodd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_nli_en_5.5.0_3.0_1726247921468.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_nli_en_5.5.0_3.0_1726247921468.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_nli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/AdamCodd/distilroberta-NLI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-finetuned_demo_2_alessioantonelli_en.md b/docs/_posts/ahmedlone127/2024-09-13-finetuned_demo_2_alessioantonelli_en.md
new file mode 100644
index 00000000000000..c780bb191b2a04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-finetuned_demo_2_alessioantonelli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_demo_2_alessioantonelli DistilBertForSequenceClassification from alessioantonelli
+author: John Snow Labs
+name: finetuned_demo_2_alessioantonelli
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_demo_2_alessioantonelli` is a English model originally trained by alessioantonelli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_demo_2_alessioantonelli_en_5.5.0_3.0_1726242266205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_demo_2_alessioantonelli_en_5.5.0_3.0_1726242266205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_demo_2_alessioantonelli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/alessioantonelli/finetuned_demo_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-finetuning_sentiment_model_ophelia_3_1_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-finetuning_sentiment_model_ophelia_3_1_0_pipeline_en.md
new file mode 100644
index 00000000000000..adf44974d17faf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-finetuning_sentiment_model_ophelia_3_1_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_ophelia_3_1_0_pipeline pipeline DistilBertForSequenceClassification from Razafaheem
+author: John Snow Labs
+name: finetuning_sentiment_model_ophelia_3_1_0_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_ophelia_3_1_0_pipeline` is a English model originally trained by Razafaheem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_ophelia_3_1_0_pipeline_en_5.5.0_3.0_1726262561299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_ophelia_3_1_0_pipeline_en_5.5.0_3.0_1726262561299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_ophelia_3_1_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_ophelia_3_1_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_ophelia_3_1_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Razafaheem/finetuning-sentiment-model-ophelia-3.1.0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-gqa_roberta_german_legal_squad_part_augmented_2000_de.md b/docs/_posts/ahmedlone127/2024-09-13-gqa_roberta_german_legal_squad_part_augmented_2000_de.md
new file mode 100644
index 00000000000000..fb7ae226ae8d4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-gqa_roberta_german_legal_squad_part_augmented_2000_de.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: German gqa_roberta_german_legal_squad_part_augmented_2000 RoBertaForQuestionAnswering from farid1088
+author: John Snow Labs
+name: gqa_roberta_german_legal_squad_part_augmented_2000
+date: 2024-09-13
+tags: [de, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gqa_roberta_german_legal_squad_part_augmented_2000` is a German model originally trained by farid1088.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gqa_roberta_german_legal_squad_part_augmented_2000_de_5.5.0_3.0_1726231395031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gqa_roberta_german_legal_squad_part_augmented_2000_de_5.5.0_3.0_1726231395031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_finetuning_reshphil|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.1 MB|
+
+## References
+
+https://huggingface.co/Reshphil/lab1_finetuning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-marian_finetuned_kde4_english_tonga_tonga_islands_french_billzhou1888_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-marian_finetuned_kde4_english_tonga_tonga_islands_french_billzhou1888_pipeline_en.md
new file mode 100644
index 00000000000000..2eff3f955b3354
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-marian_finetuned_kde4_english_tonga_tonga_islands_french_billzhou1888_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_billzhou1888_pipeline pipeline MarianTransformer from billzhou1888
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_billzhou1888_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_billzhou1888_pipeline` is a English model originally trained by billzhou1888.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_billzhou1888_pipeline_en_5.5.0_3.0_1726191296792.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_billzhou1888_pipeline_en_5.5.0_3.0_1726191296792.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_billzhou1888_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_billzhou1888_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_billzhou1888_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.8 MB|
+
+## References
+
+https://huggingface.co/billzhou1888/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-marianmt_finetuned_english_vietnamese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-marianmt_finetuned_english_vietnamese_pipeline_en.md
new file mode 100644
index 00000000000000..d7c3a81494b361
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-marianmt_finetuned_english_vietnamese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marianmt_finetuned_english_vietnamese_pipeline pipeline MarianTransformer from lmh2011
+author: John Snow Labs
+name: marianmt_finetuned_english_vietnamese_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marianmt_finetuned_english_vietnamese_pipeline` is a English model originally trained by lmh2011.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marianmt_finetuned_english_vietnamese_pipeline_en_5.5.0_3.0_1726191481043.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marianmt_finetuned_english_vietnamese_pipeline_en_5.5.0_3.0_1726191481043.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marianmt_finetuned_english_vietnamese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marianmt_finetuned_english_vietnamese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marianmt_finetuned_english_vietnamese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|475.1 MB|
+
+## References
+
+https://huggingface.co/lmh2011/marianMT-finetuned-en-vi
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-mdeberta_v3_base_assin2_entailment_pt.md b/docs/_posts/ahmedlone127/2024-09-13-mdeberta_v3_base_assin2_entailment_pt.md
new file mode 100644
index 00000000000000..ae4a9b28f6c36d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-mdeberta_v3_base_assin2_entailment_pt.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Portuguese mdeberta_v3_base_assin2_entailment DeBertaForSequenceClassification from ruanchaves
+author: John Snow Labs
+name: mdeberta_v3_base_assin2_entailment
+date: 2024-09-13
+tags: [pt, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mdeberta_v3_base_assin2_entailment` is a Portuguese model originally trained by ruanchaves.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mdeberta_v3_base_assin2_entailment_pt_5.5.0_3.0_1726260457649.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mdeberta_v3_base_assin2_entailment_pt_5.5.0_3.0_1726260457649.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mdeberta_v3_base_assin2_entailment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|836.8 MB|
+
+## References
+
+https://huggingface.co/ruanchaves/mdeberta-v3-base-assin2-entailment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-mlm_cl_descreption_epochs_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-mlm_cl_descreption_epochs_5_pipeline_en.md
new file mode 100644
index 00000000000000..fdf906bbdf7b8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-mlm_cl_descreption_epochs_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mlm_cl_descreption_epochs_5_pipeline pipeline DistilBertEmbeddings from Milad1b
+author: John Snow Labs
+name: mlm_cl_descreption_epochs_5_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mlm_cl_descreption_epochs_5_pipeline` is a English model originally trained by Milad1b.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlm_cl_descreption_epochs_5_pipeline_en_5.5.0_3.0_1726192875617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlm_cl_descreption_epochs_5_pipeline_en_5.5.0_3.0_1726192875617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mlm_cl_descreption_epochs_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mlm_cl_descreption_epochs_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlm_cl_descreption_epochs_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.3 MB|
+
+## References
+
+https://huggingface.co/Milad1b/MLM_CL_descreption_epochs-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-nlp_hf_workshop_mohammadhabp_en.md b/docs/_posts/ahmedlone127/2024-09-13-nlp_hf_workshop_mohammadhabp_en.md
new file mode 100644
index 00000000000000..400c2c1898af1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-nlp_hf_workshop_mohammadhabp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp_hf_workshop_mohammadhabp DistilBertForSequenceClassification from mohammadhabp
+author: John Snow Labs
+name: nlp_hf_workshop_mohammadhabp
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_hf_workshop_mohammadhabp` is a English model originally trained by mohammadhabp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_hf_workshop_mohammadhabp_en_5.5.0_3.0_1726262006560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_hf_workshop_mohammadhabp_en_5.5.0_3.0_1726262006560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_guc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|539.9 MB|
+
+## References
+
+https://huggingface.co/mekjr1/opus-mt-en-es-finetuned-es-to-guc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-q06_kaggle_debertav2_01_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-q06_kaggle_debertav2_01_pipeline_en.md
new file mode 100644
index 00000000000000..479e4b918dfd30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-q06_kaggle_debertav2_01_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English q06_kaggle_debertav2_01_pipeline pipeline DeBertaForSequenceClassification from wallacenpj
+author: John Snow Labs
+name: q06_kaggle_debertav2_01_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`q06_kaggle_debertav2_01_pipeline` is a English model originally trained by wallacenpj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q06_kaggle_debertav2_01_pipeline_en_5.5.0_3.0_1726190519689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q06_kaggle_debertav2_01_pipeline_en_5.5.0_3.0_1726190519689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("q06_kaggle_debertav2_01_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("q06_kaggle_debertav2_01_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|q06_kaggle_debertav2_01_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|559.0 MB|
+
+## References
+
+https://huggingface.co/wallacenpj/q06_kaggle_debertav2_01
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-qa_model_zehralx_en.md b/docs/_posts/ahmedlone127/2024-09-13-qa_model_zehralx_en.md
new file mode 100644
index 00000000000000..122046df67e6af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-qa_model_zehralx_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English qa_model_zehralx DistilBertForQuestionAnswering from zehralx
+author: John Snow Labs
+name: qa_model_zehralx
+date: 2024-09-13
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_model_zehralx` is a English model originally trained by zehralx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_model_zehralx_en_5.5.0_3.0_1726266774060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_model_zehralx_en_5.5.0_3.0_1726266774060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_model_zehralx|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/zehralx/qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-qa_refined_questions_and_data_14k_15_08_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-qa_refined_questions_and_data_14k_15_08_pipeline_en.md
new file mode 100644
index 00000000000000..1a3d5da25fb6b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-qa_refined_questions_and_data_14k_15_08_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English qa_refined_questions_and_data_14k_15_08_pipeline pipeline RoBertaForQuestionAnswering from am-infoweb
+author: John Snow Labs
+name: qa_refined_questions_and_data_14k_15_08_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_refined_questions_and_data_14k_15_08_pipeline` is a English model originally trained by am-infoweb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_refined_questions_and_data_14k_15_08_pipeline_en_5.5.0_3.0_1726198969380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_refined_questions_and_data_14k_15_08_pipeline_en_5.5.0_3.0_1726198969380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qa_refined_questions_and_data_14k_15_08_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qa_refined_questions_and_data_14k_15_08_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_refined_questions_and_data_14k_15_08_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.0 MB|
+
+## References
+
+https://huggingface.co/am-infoweb/QA_REFINED_QUESTIONS_AND_DATA_14K_15-08
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-qhr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-qhr_pipeline_en.md
new file mode 100644
index 00000000000000..d23ce23dfbf5ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-qhr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English qhr_pipeline pipeline RoBertaForSequenceClassification from aloxatel
+author: John Snow Labs
+name: qhr_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qhr_pipeline` is a English model originally trained by aloxatel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qhr_pipeline_en_5.5.0_3.0_1726227382241.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qhr_pipeline_en_5.5.0_3.0_1726227382241.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qhr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qhr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qhr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/aloxatel/QHR
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-roberta_base_qa_squad2_en.md b/docs/_posts/ahmedlone127/2024-09-13-roberta_base_qa_squad2_en.md
new file mode 100644
index 00000000000000..72cfaa3298efcb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-roberta_base_qa_squad2_en.md
@@ -0,0 +1,102 @@
+---
+layout: model
+title: English RoBertaForQuestionAnswering model (from deepset)
+author: John Snow Labs
+name: roberta_base_qa_squad2
+date: 2024-09-13
+tags: [open_source, roberta, question_answering, en, onnx, openvino]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: openvino
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `roberta-base-squad2` is a English model originally trained by `deepset`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_qa_squad2_en_5.5.0_3.0_1726221242507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_qa_squad2_en_5.5.0_3.0_1726221242507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = RoBertaForQuestionAnswering.pretrained("roberta_base_qa_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = RoBertaForQuestionAnswering.pretrained("roberta_base_qa_squad2","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.roberta.base.by_deepset").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_qa_squad2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|463.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+References
+
+https://huggingface.co/deepset/roberta-base-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1333_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1333_pipeline_en.md
new file mode 100644
index 00000000000000..1061b766f821a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1333_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1333_pipeline pipeline XlmRoBertaForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1333_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1333_pipeline` is a English model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1333_pipeline_en_5.5.0_3.0_1726196358194.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1333_pipeline_en_5.5.0_3.0_1726196358194.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1333_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1333_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1333_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|884.2 MB|
+
+## References
+
+https://huggingface.co/haryoaw/scenario-NON-KD-SCR-D2_data-AmazonScience_massive_all_1_1333
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-sent_bert_base_arabertv01_ar.md b/docs/_posts/ahmedlone127/2024-09-13-sent_bert_base_arabertv01_ar.md
new file mode 100644
index 00000000000000..57d44cfe9b7ba7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-sent_bert_base_arabertv01_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic sent_bert_base_arabertv01 BertSentenceEmbeddings from aubmindlab
+author: John Snow Labs
+name: sent_bert_base_arabertv01
+date: 2024-09-13
+tags: [ar, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_arabertv01` is a Arabic model originally trained by aubmindlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_arabertv01_ar_5.5.0_3.0_1726203445620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_arabertv01_ar_5.5.0_3.0_1726203445620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_arabertv01|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|505.0 MB|
+
+## References
+
+https://huggingface.co/aubmindlab/bert-base-arabertv01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-sent_bert_srb_base_cased_oscar_en.md b/docs/_posts/ahmedlone127/2024-09-13-sent_bert_srb_base_cased_oscar_en.md
new file mode 100644
index 00000000000000..c82071685ea757
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-sent_bert_srb_base_cased_oscar_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_srb_base_cased_oscar BertSentenceEmbeddings from Aleksandar
+author: John Snow Labs
+name: sent_bert_srb_base_cased_oscar
+date: 2024-09-13
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_srb_base_cased_oscar` is a English model originally trained by Aleksandar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_srb_base_cased_oscar_en_5.5.0_3.0_1726246262082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_srb_base_cased_oscar_en_5.5.0_3.0_1726246262082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_srb_base_cased_oscar|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.9 MB|
+
+## References
+
+https://huggingface.co/Aleksandar/bert-srb-base-cased-oscar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-sent_condenser_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-sent_condenser_pipeline_en.md
new file mode 100644
index 00000000000000..84d8c4d6f78017
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-sent_condenser_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_condenser_pipeline pipeline BertSentenceEmbeddings from Luyu
+author: John Snow Labs
+name: sent_condenser_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_condenser_pipeline` is a English model originally trained by Luyu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_condenser_pipeline_en_5.5.0_3.0_1726224361633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_condenser_pipeline_en_5.5.0_3.0_1726224361633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_condenser_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_condenser_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_condenser_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Luyu/condenser
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-snli_microsoft_deberta_v3_large_seed_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-snli_microsoft_deberta_v3_large_seed_3_pipeline_en.md
new file mode 100644
index 00000000000000..862f48fea81e22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-snli_microsoft_deberta_v3_large_seed_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English snli_microsoft_deberta_v3_large_seed_3_pipeline pipeline DeBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: snli_microsoft_deberta_v3_large_seed_3_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`snli_microsoft_deberta_v3_large_seed_3_pipeline` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/snli_microsoft_deberta_v3_large_seed_3_pipeline_en_5.5.0_3.0_1726244645963.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/snli_microsoft_deberta_v3_large_seed_3_pipeline_en_5.5.0_3.0_1726244645963.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("snli_microsoft_deberta_v3_large_seed_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("snli_microsoft_deberta_v3_large_seed_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|snli_microsoft_deberta_v3_large_seed_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/utahnlp/snli_microsoft_deberta-v3-large_seed-3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-sroberta_base_hr.md b/docs/_posts/ahmedlone127/2024-09-13-sroberta_base_hr.md
new file mode 100644
index 00000000000000..efd3440026bf4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-sroberta_base_hr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Croatian sroberta_base RoBertaEmbeddings from Andrija
+author: John Snow Labs
+name: sroberta_base
+date: 2024-09-13
+tags: [hr, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: hr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sroberta_base` is a Croatian model originally trained by Andrija.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sroberta_base_hr_5.5.0_3.0_1726264596531.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sroberta_base_hr_5.5.0_3.0_1726264596531.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sroberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|hr|
+|Size:|300.1 MB|
+
+## References
+
+https://huggingface.co/Andrija/SRoBERTa-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-test1_jliucy_en.md b/docs/_posts/ahmedlone127/2024-09-13-test1_jliucy_en.md
new file mode 100644
index 00000000000000..b0b4ebbb070a8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-test1_jliucy_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test1_jliucy DistilBertForSequenceClassification from jliucy
+author: John Snow Labs
+name: test1_jliucy
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test1_jliucy` is a English model originally trained by jliucy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test1_jliucy_en_5.5.0_3.0_1726262130827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test1_jliucy_en_5.5.0_3.0_1726262130827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test1_jliucy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jliucy/test1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-whisper_small_arabic_heikal_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-13-whisper_small_arabic_heikal_pipeline_ar.md
new file mode 100644
index 00000000000000..071f7a0dc1985e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-whisper_small_arabic_heikal_pipeline_ar.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Arabic whisper_small_arabic_heikal_pipeline pipeline WhisperForCTC from heikal
+author: John Snow Labs
+name: whisper_small_arabic_heikal_pipeline
+date: 2024-09-13
+tags: [ar, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_arabic_heikal_pipeline` is a Arabic model originally trained by heikal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_heikal_pipeline_ar_5.5.0_3.0_1726252650787.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_heikal_pipeline_ar_5.5.0_3.0_1726252650787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_arabic_heikal_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_arabic_heikal_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_arabic_heikal_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/heikal/whisper-small-ar
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-whisper_small_cuzco_quechua_pipeline_qu.md b/docs/_posts/ahmedlone127/2024-09-13-whisper_small_cuzco_quechua_pipeline_qu.md
new file mode 100644
index 00000000000000..640390edc8da7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-whisper_small_cuzco_quechua_pipeline_qu.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Quechua whisper_small_cuzco_quechua_pipeline pipeline WhisperForCTC from pollitoconpapass
+author: John Snow Labs
+name: whisper_small_cuzco_quechua_pipeline
+date: 2024-09-13
+tags: [qu, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: qu
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_cuzco_quechua_pipeline` is a Quechua model originally trained by pollitoconpapass.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_cuzco_quechua_pipeline_qu_5.5.0_3.0_1726256700132.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_cuzco_quechua_pipeline_qu_5.5.0_3.0_1726256700132.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_cuzco_quechua_pipeline", lang = "qu")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_cuzco_quechua_pipeline", lang = "qu")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_cuzco_quechua_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|qu|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/pollitoconpapass/whisper-small-cuzco-quechua
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-whisper_small_llm_lingo_trelis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-whisper_small_llm_lingo_trelis_pipeline_en.md
new file mode 100644
index 00000000000000..a25a1e23b2bd77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-whisper_small_llm_lingo_trelis_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_llm_lingo_trelis_pipeline pipeline WhisperForCTC from Trelis
+author: John Snow Labs
+name: whisper_small_llm_lingo_trelis_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_llm_lingo_trelis_pipeline` is a English model originally trained by Trelis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_llm_lingo_trelis_pipeline_en_5.5.0_3.0_1726223111426.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_llm_lingo_trelis_pipeline_en_5.5.0_3.0_1726223111426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_llm_lingo_trelis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_llm_lingo_trelis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_llm_lingo_trelis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Trelis/whisper-small-llm-lingo
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_robert_base_finetuned_panx_german_french_en.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_robert_base_finetuned_panx_german_french_en.md
new file mode 100644
index 00000000000000..735a04fc2f2b07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_robert_base_finetuned_panx_german_french_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_robert_base_finetuned_panx_german_french XlmRoBertaForTokenClassification from hiroki-rad
+author: John Snow Labs
+name: xlm_robert_base_finetuned_panx_german_french
+date: 2024-09-13
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_robert_base_finetuned_panx_german_french` is a English model originally trained by hiroki-rad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_robert_base_finetuned_panx_german_french_en_5.5.0_3.0_1726215677402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_robert_base_finetuned_panx_german_french_en_5.5.0_3.0_1726215677402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_robert_base_finetuned_panx_german_french|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/hiroki-rad/xlm-robert-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_english_omersubasi_en.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_english_omersubasi_en.md
new file mode 100644
index 00000000000000..fa72028ffbf35d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_english_omersubasi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_omersubasi XlmRoBertaForTokenClassification from omersubasi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_omersubasi
+date: 2024-09-13
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_omersubasi` is a English model originally trained by omersubasi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_omersubasi_en_5.5.0_3.0_1726214873486.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_omersubasi_en_5.5.0_3.0_1726214873486.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_omersubasi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/omersubasi/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_german_smallsuper_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_german_smallsuper_pipeline_en.md
new file mode 100644
index 00000000000000..abeeb18ba036e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_german_smallsuper_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_smallsuper_pipeline pipeline XlmRoBertaForTokenClassification from smallsuper
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_smallsuper_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_smallsuper_pipeline` is a English model originally trained by smallsuper.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_smallsuper_pipeline_en_5.5.0_3.0_1726238167123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_smallsuper_pipeline_en_5.5.0_3.0_1726238167123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_smallsuper_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_smallsuper_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_smallsuper_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/smallsuper/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_italian_handun_en.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_italian_handun_en.md
new file mode 100644
index 00000000000000..0d326d68fb982e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_italian_handun_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_handun XlmRoBertaForTokenClassification from Handun
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_handun
+date: 2024-09-13
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_handun` is a English model originally trained by Handun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_handun_en_5.5.0_3.0_1726238424157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_handun_en_5.5.0_3.0_1726238424157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_handun|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|828.6 MB|
+
+## References
+
+https://huggingface.co/Handun/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_trimmed_english_10000_tweet_sentiment_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_trimmed_english_10000_tweet_sentiment_english_pipeline_en.md
new file mode 100644
index 00000000000000..d9390866b95095
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_trimmed_english_10000_tweet_sentiment_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_english_10000_tweet_sentiment_english_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_english_10000_tweet_sentiment_english_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_english_10000_tweet_sentiment_english_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_english_10000_tweet_sentiment_english_pipeline_en_5.5.0_3.0_1726196342418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_english_10000_tweet_sentiment_english_pipeline_en_5.5.0_3.0_1726196342418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_trimmed_english_10000_tweet_sentiment_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_trimmed_english_10000_tweet_sentiment_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_english_10000_tweet_sentiment_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|350.3 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-en-10000-tweet-sentiment-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-albert_model_akash24_en.md b/docs/_posts/ahmedlone127/2024-09-14-albert_model_akash24_en.md
new file mode 100644
index 00000000000000..a21437c4f6a398
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-albert_model_akash24_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_model_akash24 AlbertForSequenceClassification from Akash24
+author: John Snow Labs
+name: albert_model_akash24
+date: 2024-09-14
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_model_akash24` is a English model originally trained by Akash24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_model_akash24_en_5.5.0_3.0_1726336527917.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_model_akash24_en_5.5.0_3.0_1726336527917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_squad_v2_lauraparra28|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/lauraparra28/bert-base-uncased-finetuned-squad_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-bert_finetuned_ner_tokenizer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-bert_finetuned_ner_tokenizer_pipeline_en.md
new file mode 100644
index 00000000000000..179c0e14af0559
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-bert_finetuned_ner_tokenizer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_tokenizer_pipeline pipeline BertForTokenClassification from alban12
+author: John Snow Labs
+name: bert_finetuned_ner_tokenizer_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_tokenizer_pipeline` is a English model originally trained by alban12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_tokenizer_pipeline_en_5.5.0_3.0_1726305602145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_tokenizer_pipeline_en_5.5.0_3.0_1726305602145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_tokenizer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_tokenizer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_tokenizer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.6 MB|
+
+## References
+
+https://huggingface.co/alban12/bert-finetuned-ner-tokenizer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-berturk_cased_ner_alierenak_tr.md b/docs/_posts/ahmedlone127/2024-09-14-berturk_cased_ner_alierenak_tr.md
new file mode 100644
index 00000000000000..1cd963e78cce75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-berturk_cased_ner_alierenak_tr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Turkish berturk_cased_ner_alierenak BertForTokenClassification from alierenak
+author: John Snow Labs
+name: berturk_cased_ner_alierenak
+date: 2024-09-14
+tags: [tr, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`berturk_cased_ner_alierenak` is a Turkish model originally trained by alierenak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berturk_cased_ner_alierenak_tr_5.5.0_3.0_1726306095147.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berturk_cased_ner_alierenak_tr_5.5.0_3.0_1726306095147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_finetuned_clinais_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|464.3 MB|
+
+## References
+
+https://huggingface.co/joheras/bsc-bio-ehr-es-finetuned-clinais-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_qa_model_realtiff_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_qa_model_realtiff_pipeline_en.md
new file mode 100644
index 00000000000000..e250d828381eb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_qa_model_realtiff_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_realtiff_pipeline pipeline DistilBertForQuestionAnswering from realtiff
+author: John Snow Labs
+name: burmese_awesome_qa_model_realtiff_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_realtiff_pipeline` is a English model originally trained by realtiff.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_realtiff_pipeline_en_5.5.0_3.0_1726335814285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_realtiff_pipeline_en_5.5.0_3.0_1726335814285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_realtiff_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_realtiff_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_realtiff_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/realtiff/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_qa_model_simraniitrpr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_qa_model_simraniitrpr_pipeline_en.md
new file mode 100644
index 00000000000000..ff66c24b26c4da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_qa_model_simraniitrpr_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_simraniitrpr_pipeline pipeline DistilBertForQuestionAnswering from SimranIITRpr
+author: John Snow Labs
+name: burmese_awesome_qa_model_simraniitrpr_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_simraniitrpr_pipeline` is a English model originally trained by SimranIITRpr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_simraniitrpr_pipeline_en_5.5.0_3.0_1726335704258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_simraniitrpr_pipeline_en_5.5.0_3.0_1726335704258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_simraniitrpr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_simraniitrpr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_simraniitrpr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/SimranIITRpr/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-classify_clickbait_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-classify_clickbait_pipeline_en.md
new file mode 100644
index 00000000000000..9a7f8294c2e0e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-classify_clickbait_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English classify_clickbait_pipeline pipeline AlbertForSequenceClassification from rkotari
+author: John Snow Labs
+name: classify_clickbait_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classify_clickbait_pipeline` is a English model originally trained by rkotari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classify_clickbait_pipeline_en_5.5.0_3.0_1726309356718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classify_clickbait_pipeline_en_5.5.0_3.0_1726309356718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("classify_clickbait_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("classify_clickbait_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classify_clickbait_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/rkotari/classify-clickbait
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-distilbert_base_uncased_finetuned_squad_ethanoutangoun_en.md b/docs/_posts/ahmedlone127/2024-09-14-distilbert_base_uncased_finetuned_squad_ethanoutangoun_en.md
new file mode 100644
index 00000000000000..59f2d374b27f68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-distilbert_base_uncased_finetuned_squad_ethanoutangoun_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_ethanoutangoun DistilBertForQuestionAnswering from ethanoutangoun
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_ethanoutangoun
+date: 2024-09-14
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_ethanoutangoun` is a English model originally trained by ethanoutangoun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_ethanoutangoun_en_5.5.0_3.0_1726335670373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_ethanoutangoun_en_5.5.0_3.0_1726335670373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_messiah10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/messiah10/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-eli5_mlm_model_someonegg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-eli5_mlm_model_someonegg_pipeline_en.md
new file mode 100644
index 00000000000000..aecc61c7cf3520
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-eli5_mlm_model_someonegg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English eli5_mlm_model_someonegg_pipeline pipeline RoBertaEmbeddings from someonegg
+author: John Snow Labs
+name: eli5_mlm_model_someonegg_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`eli5_mlm_model_someonegg_pipeline` is a English model originally trained by someonegg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/eli5_mlm_model_someonegg_pipeline_en_5.5.0_3.0_1726338316312.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/eli5_mlm_model_someonegg_pipeline_en_5.5.0_3.0_1726338316312.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("eli5_mlm_model_someonegg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("eli5_mlm_model_someonegg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|eli5_mlm_model_someonegg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/someonegg/eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-english_spanish_en.md b/docs/_posts/ahmedlone127/2024-09-14-english_spanish_en.md
new file mode 100644
index 00000000000000..b1d9b1cb4a6512
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-english_spanish_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English english_spanish MarianTransformer from adeebkm
+author: John Snow Labs
+name: english_spanish
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`english_spanish` is a English model originally trained by adeebkm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_spanish_en_5.5.0_3.0_1726351408269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_spanish_en_5.5.0_3.0_1726351408269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_spanish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|539.9 MB|
+
+## References
+
+https://huggingface.co/adeebkm/en-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-flowberta_en.md b/docs/_posts/ahmedlone127/2024-09-14-flowberta_en.md
new file mode 100644
index 00000000000000..c612cae79d875d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-flowberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English flowberta RoBertaEmbeddings from BigSalmon
+author: John Snow Labs
+name: flowberta
+date: 2024-09-14
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`flowberta` is a English model originally trained by BigSalmon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/flowberta_en_5.5.0_3.0_1726300135822.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/flowberta_en_5.5.0_3.0_1726300135822.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|govroberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/ESGBERT/GovRoBERTa-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-hatebertimbau_twitter_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-14-hatebertimbau_twitter_pipeline_pt.md
new file mode 100644
index 00000000000000..eebc4259665b04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-hatebertimbau_twitter_pipeline_pt.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Portuguese hatebertimbau_twitter_pipeline pipeline BertForSequenceClassification from knowhate
+author: John Snow Labs
+name: hatebertimbau_twitter_pipeline
+date: 2024-09-14
+tags: [pt, open_source, pipeline, onnx]
+task: Text Classification
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hatebertimbau_twitter_pipeline` is a Portuguese model originally trained by knowhate.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hatebertimbau_twitter_pipeline_pt_5.5.0_3.0_1726348004045.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hatebertimbau_twitter_pipeline_pt_5.5.0_3.0_1726348004045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hatebertimbau_twitter_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hatebertimbau_twitter_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hatebertimbau_twitter_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|407.8 MB|
+
+## References
+
+https://huggingface.co/knowhate/HateBERTimbau-twitter
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-iwslt17_marian_small_ctx0_cwd0_english_french_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-iwslt17_marian_small_ctx0_cwd0_english_french_pipeline_en.md
new file mode 100644
index 00000000000000..3be7dc8432898e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-iwslt17_marian_small_ctx0_cwd0_english_french_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English iwslt17_marian_small_ctx0_cwd0_english_french_pipeline pipeline MarianTransformer from context-mt
+author: John Snow Labs
+name: iwslt17_marian_small_ctx0_cwd0_english_french_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iwslt17_marian_small_ctx0_cwd0_english_french_pipeline` is a English model originally trained by context-mt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iwslt17_marian_small_ctx0_cwd0_english_french_pipeline_en_5.5.0_3.0_1726351479521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iwslt17_marian_small_ctx0_cwd0_english_french_pipeline_en_5.5.0_3.0_1726351479521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("iwslt17_marian_small_ctx0_cwd0_english_french_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("iwslt17_marian_small_ctx0_cwd0_english_french_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|iwslt17_marian_small_ctx0_cwd0_english_french_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.9 MB|
+
+## References
+
+https://huggingface.co/context-mt/iwslt17-marian-small-ctx0-cwd0-en-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-lab1_finetuning_jingyi28_en.md b/docs/_posts/ahmedlone127/2024-09-14-lab1_finetuning_jingyi28_en.md
new file mode 100644
index 00000000000000..e3bc9d754c9659
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-lab1_finetuning_jingyi28_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lab1_finetuning_jingyi28 MarianTransformer from Jingyi28
+author: John Snow Labs
+name: lab1_finetuning_jingyi28
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab1_finetuning_jingyi28` is a English model originally trained by Jingyi28.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_finetuning_jingyi28_en_5.5.0_3.0_1726351726829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_finetuning_jingyi28_en_5.5.0_3.0_1726351726829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_korean_tonga_tonga_islands_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|540.6 MB|
+
+## References
+
+https://huggingface.co/JIEUN21/marian-finetuned-kde4-ko-to-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-marian_random_kde4_english_tonga_tonga_islands_french_chloe018_en.md b/docs/_posts/ahmedlone127/2024-09-14-marian_random_kde4_english_tonga_tonga_islands_french_chloe018_en.md
new file mode 100644
index 00000000000000..9a344945986320
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-marian_random_kde4_english_tonga_tonga_islands_french_chloe018_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_random_kde4_english_tonga_tonga_islands_french_chloe018 MarianTransformer from chloe018
+author: John Snow Labs
+name: marian_random_kde4_english_tonga_tonga_islands_french_chloe018
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_random_kde4_english_tonga_tonga_islands_french_chloe018` is a English model originally trained by chloe018.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_random_kde4_english_tonga_tonga_islands_french_chloe018_en_5.5.0_3.0_1726351556730.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_random_kde4_english_tonga_tonga_islands_french_chloe018_en_5.5.0_3.0_1726351556730.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_random_kde4_english_tonga_tonga_islands_french_chloe018|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|509.8 MB|
+
+## References
+
+https://huggingface.co/chloe018/marian-random-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-medical_tiny_english_1_0v_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-medical_tiny_english_1_0v_pipeline_en.md
new file mode 100644
index 00000000000000..11945be6e10789
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-medical_tiny_english_1_0v_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English medical_tiny_english_1_0v_pipeline pipeline WhisperForCTC from Dev372
+author: John Snow Labs
+name: medical_tiny_english_1_0v_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medical_tiny_english_1_0v_pipeline` is a English model originally trained by Dev372.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medical_tiny_english_1_0v_pipeline_en_5.5.0_3.0_1726298923756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medical_tiny_english_1_0v_pipeline_en_5.5.0_3.0_1726298923756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("medical_tiny_english_1_0v_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("medical_tiny_english_1_0v_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medical_tiny_english_1_0v_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|394.0 MB|
+
+## References
+
+https://huggingface.co/Dev372/Medical_tiny_en_1_0v
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-model_for_french_en.md b/docs/_posts/ahmedlone127/2024-09-14-model_for_french_en.md
new file mode 100644
index 00000000000000..29a9901c78e794
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-model_for_french_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_for_french XlmRoBertaForTokenClassification from LGLT
+author: John Snow Labs
+name: model_for_french
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_for_french` is a English model originally trained by LGLT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_for_french_en_5.5.0_3.0_1726345895583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_for_french_en_5.5.0_3.0_1726345895583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mrc_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|463.6 MB|
+
+## References
+
+https://huggingface.co/Matheusmatos2916/MRC_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-norwegian_roberta_base_highlr_512_en.md b/docs/_posts/ahmedlone127/2024-09-14-norwegian_roberta_base_highlr_512_en.md
new file mode 100644
index 00000000000000..bc61b7ec71bfd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-norwegian_roberta_base_highlr_512_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English norwegian_roberta_base_highlr_512 RoBertaEmbeddings from pere
+author: John Snow Labs
+name: norwegian_roberta_base_highlr_512
+date: 2024-09-14
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`norwegian_roberta_base_highlr_512` is a English model originally trained by pere.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norwegian_roberta_base_highlr_512_en_5.5.0_3.0_1726338120835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norwegian_roberta_base_highlr_512_en_5.5.0_3.0_1726338120835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_indonesian_open_subtitles|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|481.6 MB|
+
+## References
+
+https://huggingface.co/yonathanstwn/opus-mt-en-id-open-subtitles
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_indonesian_open_subtitles_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_indonesian_open_subtitles_pipeline_en.md
new file mode 100644
index 00000000000000..907f2153c128e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_indonesian_open_subtitles_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_indonesian_open_subtitles_pipeline pipeline MarianTransformer from yonathanstwn
+author: John Snow Labs
+name: opus_maltese_english_indonesian_open_subtitles_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_indonesian_open_subtitles_pipeline` is a English model originally trained by yonathanstwn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_indonesian_open_subtitles_pipeline_en_5.5.0_3.0_1726351022468.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_indonesian_open_subtitles_pipeline_en_5.5.0_3.0_1726351022468.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_indonesian_open_subtitles_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_indonesian_open_subtitles_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_indonesian_open_subtitles_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|482.1 MB|
+
+## References
+
+https://huggingface.co/yonathanstwn/opus-mt-en-id-open-subtitles
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_en.md b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_en.md
new file mode 100644
index 00000000000000..837945a3b76b56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha MarianTransformer from Lekshmiprabha
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha` is a English model originally trained by Lekshmiprabha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_en_5.5.0_3.0_1726350546314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_lekshmiprabha_en_5.5.0_3.0_1726350546314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|personal|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|es|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/Antonio49/Personal
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-polibert_sanskrit_saskta_it.md b/docs/_posts/ahmedlone127/2024-09-14-polibert_sanskrit_saskta_it.md
new file mode 100644
index 00000000000000..0e33af5a3f35f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-polibert_sanskrit_saskta_it.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Italian polibert_sanskrit_saskta BertForSequenceClassification from gbarone77
+author: John Snow Labs
+name: polibert_sanskrit_saskta
+date: 2024-09-14
+tags: [it, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`polibert_sanskrit_saskta` is a Italian model originally trained by gbarone77.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/polibert_sanskrit_saskta_it_5.5.0_3.0_1726347712923.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/polibert_sanskrit_saskta_it_5.5.0_3.0_1726347712923.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|radbert_roberta_4m_ucsd_va_health|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.7 MB|
+
+## References
+
+https://huggingface.co/UCSD-VA-health/RadBERT-RoBERTa-4m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_augmented_finetuned_atis_1pct_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_augmented_finetuned_atis_1pct_v1_pipeline_en.md
new file mode 100644
index 00000000000000..dd454b7e52f523
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_augmented_finetuned_atis_1pct_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_augmented_finetuned_atis_1pct_v1_pipeline pipeline RoBertaForSequenceClassification from benayas
+author: John Snow Labs
+name: roberta_augmented_finetuned_atis_1pct_v1_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_augmented_finetuned_atis_1pct_v1_pipeline` is a English model originally trained by benayas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_augmented_finetuned_atis_1pct_v1_pipeline_en_5.5.0_3.0_1726272010732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_augmented_finetuned_atis_1pct_v1_pipeline_en_5.5.0_3.0_1726272010732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_augmented_finetuned_atis_1pct_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_augmented_finetuned_atis_1pct_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_augmented_finetuned_atis_1pct_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|426.4 MB|
+
+## References
+
+https://huggingface.co/benayas/roberta-augmented-finetuned-atis_1pct_v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_base_finetune_subjqa_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_base_finetune_subjqa_en.md
new file mode 100644
index 00000000000000..38dc734da1481d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_base_finetune_subjqa_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_base_finetune_subjqa RoBertaForQuestionAnswering from DucQuynh
+author: John Snow Labs
+name: roberta_base_finetune_subjqa
+date: 2024-09-14
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetune_subjqa` is a English model originally trained by DucQuynh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetune_subjqa_en_5.5.0_3.0_1726343090766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetune_subjqa_en_5.5.0_3.0_1726343090766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_mlm_manojalexender|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/ManojAlexender/roberta-base_MLM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_base_ner_demo_bek1_pipeline_mn.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_base_ner_demo_bek1_pipeline_mn.md
new file mode 100644
index 00000000000000..fcd4a36e010197
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_base_ner_demo_bek1_pipeline_mn.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Mongolian roberta_base_ner_demo_bek1_pipeline pipeline RoBertaForTokenClassification from bek1
+author: John Snow Labs
+name: roberta_base_ner_demo_bek1_pipeline
+date: 2024-09-14
+tags: [mn, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: mn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ner_demo_bek1_pipeline` is a Mongolian model originally trained by bek1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ner_demo_bek1_pipeline_mn_5.5.0_3.0_1726314159587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ner_demo_bek1_pipeline_mn_5.5.0_3.0_1726314159587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_ner_demo_bek1_pipeline", lang = "mn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_ner_demo_bek1_pipeline", lang = "mn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ner_demo_bek1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mn|
+|Size:|465.7 MB|
+
+## References
+
+https://huggingface.co/bek1/roberta-base-ner-demo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_cyner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_cyner_pipeline_en.md
new file mode 100644
index 00000000000000..7783452655c8d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_cyner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_cyner_pipeline pipeline RoBertaForTokenClassification from Cyber-ThreaD
+author: John Snow Labs
+name: roberta_cyner_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_cyner_pipeline` is a English model originally trained by Cyber-ThreaD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_cyner_pipeline_en_5.5.0_3.0_1726306461705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_cyner_pipeline_en_5.5.0_3.0_1726306461705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_cyner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_cyner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_cyner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|426.0 MB|
+
+## References
+
+https://huggingface.co/Cyber-ThreaD/RoBERTa-CyNER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_large_conll2003_titanbot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_large_conll2003_titanbot_pipeline_en.md
new file mode 100644
index 00000000000000..04d39e9f0a2124
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_large_conll2003_titanbot_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_conll2003_titanbot_pipeline pipeline RoBertaForTokenClassification from titanbot
+author: John Snow Labs
+name: roberta_large_conll2003_titanbot_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_conll2003_titanbot_pipeline` is a English model originally trained by titanbot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_conll2003_titanbot_pipeline_en_5.5.0_3.0_1726314452290.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_conll2003_titanbot_pipeline_en_5.5.0_3.0_1726314452290.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_conll2003_titanbot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_conll2003_titanbot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_conll2003_titanbot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/titanbot/Roberta-Large-CONLL2003
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_social_roles_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_social_roles_pipeline_en.md
new file mode 100644
index 00000000000000..da66c06a998eef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_social_roles_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_social_roles_pipeline pipeline RoBertaForTokenClassification from lucy3
+author: John Snow Labs
+name: roberta_social_roles_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_social_roles_pipeline` is a English model originally trained by lucy3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_social_roles_pipeline_en_5.5.0_3.0_1726314510778.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_social_roles_pipeline_en_5.5.0_3.0_1726314510778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_social_roles_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_social_roles_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_social_roles_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/lucy3/roberta_social_roles
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_time_identification_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_time_identification_en.md
new file mode 100644
index 00000000000000..f5a5bd26dfbd90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_time_identification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_time_identification RoBertaForTokenClassification from DAMO-NLP-SG
+author: John Snow Labs
+name: roberta_time_identification
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_time_identification` is a English model originally trained by DAMO-NLP-SG.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_time_identification_en_5.5.0_3.0_1726306507195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_time_identification_en_5.5.0_3.0_1726306507195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_time_identification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/DAMO-NLP-SG/roberta-time_identification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-rubert_multiconer_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-09-14-rubert_multiconer_pipeline_ru.md
new file mode 100644
index 00000000000000..0be13cc282b949
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-rubert_multiconer_pipeline_ru.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Russian rubert_multiconer_pipeline pipeline BertForTokenClassification from bond005
+author: John Snow Labs
+name: rubert_multiconer_pipeline
+date: 2024-09-14
+tags: [ru, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_multiconer_pipeline` is a Russian model originally trained by bond005.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_multiconer_pipeline_ru_5.5.0_3.0_1726305605300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_multiconer_pipeline_ru_5.5.0_3.0_1726305605300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rubert_multiconer_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rubert_multiconer_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_multiconer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|664.4 MB|
+
+## References
+
+https://huggingface.co/bond005/rubert-multiconer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-scenario_non_kd_scr_d2_data_cl_cardiff_cl_onlyalpha_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-scenario_non_kd_scr_d2_data_cl_cardiff_cl_onlyalpha_pipeline_en.md
new file mode 100644
index 00000000000000..6c0aa69cc0bbe4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-scenario_non_kd_scr_d2_data_cl_cardiff_cl_onlyalpha_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English scenario_non_kd_scr_d2_data_cl_cardiff_cl_onlyalpha_pipeline pipeline XlmRoBertaForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_non_kd_scr_d2_data_cl_cardiff_cl_onlyalpha_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scenario_non_kd_scr_d2_data_cl_cardiff_cl_onlyalpha_pipeline` is a English model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_d2_data_cl_cardiff_cl_onlyalpha_pipeline_en_5.5.0_3.0_1726317367544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_d2_data_cl_cardiff_cl_onlyalpha_pipeline_en_5.5.0_3.0_1726317367544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("scenario_non_kd_scr_d2_data_cl_cardiff_cl_onlyalpha_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("scenario_non_kd_scr_d2_data_cl_cardiff_cl_onlyalpha_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_non_kd_scr_d2_data_cl_cardiff_cl_onlyalpha_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|883.9 MB|
+
+## References
+
+https://huggingface.co/haryoaw/scenario-NON-KD-SCR-D2_data-cl-cardiff_cl_onlyalpha
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-sent_bert_base_code_comments_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-sent_bert_base_code_comments_pipeline_en.md
new file mode 100644
index 00000000000000..6858e1799ccb2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-sent_bert_base_code_comments_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_code_comments_pipeline pipeline BertSentenceEmbeddings from giganticode
+author: John Snow Labs
+name: sent_bert_base_code_comments_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_code_comments_pipeline` is a English model originally trained by giganticode.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_code_comments_pipeline_en_5.5.0_3.0_1726336913056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_code_comments_pipeline_en_5.5.0_3.0_1726336913056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_code_comments_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_code_comments_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_code_comments_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/giganticode/bert-base-code_comments
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-sent_bert_base_historic_multilingual_64k_td_cased_xx.md b/docs/_posts/ahmedlone127/2024-09-14-sent_bert_base_historic_multilingual_64k_td_cased_xx.md
new file mode 100644
index 00000000000000..1179189466e6db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-sent_bert_base_historic_multilingual_64k_td_cased_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual sent_bert_base_historic_multilingual_64k_td_cased BertSentenceEmbeddings from dbmdz
+author: John Snow Labs
+name: sent_bert_base_historic_multilingual_64k_td_cased
+date: 2024-09-14
+tags: [xx, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_historic_multilingual_64k_td_cased` is a Multilingual model originally trained by dbmdz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_historic_multilingual_64k_td_cased_xx_5.5.0_3.0_1726337237009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_historic_multilingual_64k_td_cased_xx_5.5.0_3.0_1726337237009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_small_historic_multilingual_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|109.5 MB|
+
+## References
+
+https://huggingface.co/dbmdz/bert-small-historic-multilingual-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-sent_luxembert_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-sent_luxembert_v2_pipeline_en.md
new file mode 100644
index 00000000000000..f22f4e59c6eb07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-sent_luxembert_v2_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_luxembert_v2_pipeline pipeline BertSentenceEmbeddings from iolariu
+author: John Snow Labs
+name: sent_luxembert_v2_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_luxembert_v2_pipeline` is a English model originally trained by iolariu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_luxembert_v2_pipeline_en_5.5.0_3.0_1726320284168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_luxembert_v2_pipeline_en_5.5.0_3.0_1726320284168.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_luxembert_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_luxembert_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_luxembert_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.4 MB|
+
+## References
+
+https://huggingface.co/iolariu/LuxemBERT-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-socroberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-14-socroberta_base_en.md
new file mode 100644
index 00000000000000..3bda66a8f7a096
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-socroberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English socroberta_base RoBertaEmbeddings from ESGBERT
+author: John Snow Labs
+name: socroberta_base
+date: 2024-09-14
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`socroberta_base` is a English model originally trained by ESGBERT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/socroberta_base_en_5.5.0_3.0_1726299566405.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/socroberta_base_en_5.5.0_3.0_1726299566405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_alb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|sq|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/somu9/whisper-small-alb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_cebtoeng_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_cebtoeng_pipeline_hi.md
new file mode 100644
index 00000000000000..1668d74efba78d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_cebtoeng_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_cebtoeng_pipeline pipeline WhisperForCTC from ahoka
+author: John Snow Labs
+name: whisper_small_cebtoeng_pipeline
+date: 2024-09-14
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_cebtoeng_pipeline` is a Hindi model originally trained by ahoka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_cebtoeng_pipeline_hi_5.5.0_3.0_1726275973510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_cebtoeng_pipeline_hi_5.5.0_3.0_1726275973510.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_cebtoeng_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_cebtoeng_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_cebtoeng_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/ahoka/whisper-small-cebToEng
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_chinese_happytsai_zh.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_chinese_happytsai_zh.md
new file mode 100644
index 00000000000000..7826ae5e28181a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_chinese_happytsai_zh.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Chinese whisper_small_chinese_happytsai WhisperForCTC from HappyTsai
+author: John Snow Labs
+name: whisper_small_chinese_happytsai
+date: 2024-09-14
+tags: [zh, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_chinese_happytsai` is a Chinese model originally trained by HappyTsai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_chinese_happytsai_zh_5.5.0_3.0_1726298018155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_chinese_happytsai_zh_5.5.0_3.0_1726298018155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_eguladida|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/eguladida/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_hindi_hunzla_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_hindi_hunzla_pipeline_en.md
new file mode 100644
index 00000000000000..f77097f23ba3c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_hindi_hunzla_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_hindi_hunzla_pipeline pipeline WhisperForCTC from Hunzla
+author: John Snow Labs
+name: whisper_small_hindi_hunzla_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_hunzla_pipeline` is a English model originally trained by Hunzla.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_hunzla_pipeline_en_5.5.0_3.0_1726295895559.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_hunzla_pipeline_en_5.5.0_3.0_1726295895559.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_hunzla_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_hunzla_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_hunzla_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|391.0 MB|
+
+## References
+
+https://huggingface.co/Hunzla/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_hindi_l_inuri_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_hindi_l_inuri_en.md
new file mode 100644
index 00000000000000..69da8b96af20ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_hindi_l_inuri_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_hindi_l_inuri WhisperForCTC from L-Inuri
+author: John Snow Labs
+name: whisper_small_hindi_l_inuri
+date: 2024-09-14
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_l_inuri` is a English model originally trained by L-Inuri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_l_inuri_en_5.5.0_3.0_1726280852361.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_l_inuri_en_5.5.0_3.0_1726280852361.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_l_inuri|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/L-Inuri/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_vivos_jrhuy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_vivos_jrhuy_pipeline_en.md
new file mode 100644
index 00000000000000..aea7811bed4dac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_vivos_jrhuy_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_vivos_jrhuy_pipeline pipeline WhisperForCTC from JRHuy
+author: John Snow Labs
+name: whisper_small_vivos_jrhuy_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_vivos_jrhuy_pipeline` is a English model originally trained by JRHuy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_vivos_jrhuy_pipeline_en_5.5.0_3.0_1726331761204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_vivos_jrhuy_pipeline_en_5.5.0_3.0_1726331761204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_vivos_jrhuy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_vivos_jrhuy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_vivos_jrhuy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/JRHuy/whisper-small-vivos
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_tiny_bengali_ehzawad_pipeline_bn.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_tiny_bengali_ehzawad_pipeline_bn.md
new file mode 100644
index 00000000000000..d45d0e40bae69d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_tiny_bengali_ehzawad_pipeline_bn.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Bengali whisper_tiny_bengali_ehzawad_pipeline pipeline WhisperForCTC from ehzawad
+author: John Snow Labs
+name: whisper_tiny_bengali_ehzawad_pipeline
+date: 2024-09-14
+tags: [bn, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: bn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_bengali_ehzawad_pipeline` is a Bengali model originally trained by ehzawad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_bengali_ehzawad_pipeline_bn_5.5.0_3.0_1726354785453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_bengali_ehzawad_pipeline_bn_5.5.0_3.0_1726354785453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_bengali_ehzawad_pipeline", lang = "bn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_bengali_ehzawad_pipeline", lang = "bn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_bengali_ehzawad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|bn|
+|Size:|391.3 MB|
+
+## References
+
+https://huggingface.co/ehzawad/whisper-tiny-bn
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_tiny_divehi_model_man_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_tiny_divehi_model_man_pipeline_en.md
new file mode 100644
index 00000000000000..0e7bcd044c076b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_tiny_divehi_model_man_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_divehi_model_man_pipeline pipeline WhisperForCTC from model-man
+author: John Snow Labs
+name: whisper_tiny_divehi_model_man_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_divehi_model_man_pipeline` is a English model originally trained by model-man.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_divehi_model_man_pipeline_en_5.5.0_3.0_1726297356360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_divehi_model_man_pipeline_en_5.5.0_3.0_1726297356360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_divehi_model_man_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_divehi_model_man_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_divehi_model_man_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/model-man/whisper-tiny-dv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_tiny_finetuned_minds14_artyomboyko_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_tiny_finetuned_minds14_artyomboyko_en.md
new file mode 100644
index 00000000000000..1f64e2c70d5e6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_tiny_finetuned_minds14_artyomboyko_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_finetuned_minds14_artyomboyko WhisperForCTC from artyomboyko
+author: John Snow Labs
+name: whisper_tiny_finetuned_minds14_artyomboyko
+date: 2024-09-14
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_finetuned_minds14_artyomboyko` is a English model originally trained by artyomboyko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_finetuned_minds14_artyomboyko_en_5.5.0_3.0_1726296553580.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_finetuned_minds14_artyomboyko_en_5.5.0_3.0_1726296553580.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisperoutput|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/EssiaJaadari/WhisperOutput
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_all_wooseok0303_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_all_wooseok0303_en.md
new file mode 100644
index 00000000000000..f02ae8aec78768
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_all_wooseok0303_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_wooseok0303 XlmRoBertaForTokenClassification from wooseok0303
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_wooseok0303
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_wooseok0303` is a English model originally trained by wooseok0303.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_wooseok0303_en_5.5.0_3.0_1726292462612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_wooseok0303_en_5.5.0_3.0_1726292462612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_wooseok0303|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|848.0 MB|
+
+## References
+
+https://huggingface.co/wooseok0303/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_english_seobak_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_english_seobak_pipeline_en.md
new file mode 100644
index 00000000000000..f1a3e72aecd06d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_english_seobak_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_seobak_pipeline pipeline XlmRoBertaForTokenClassification from seobak
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_seobak_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_seobak_pipeline` is a English model originally trained by seobak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_seobak_pipeline_en_5.5.0_3.0_1726292394515.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_seobak_pipeline_en_5.5.0_3.0_1726292394515.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_seobak_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_seobak_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_seobak_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|814.3 MB|
+
+## References
+
+https://huggingface.co/seobak/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_chaewonlee_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_chaewonlee_en.md
new file mode 100644
index 00000000000000..7d20beed6dfb16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_chaewonlee_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_chaewonlee XlmRoBertaForTokenClassification from chaewonlee
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_chaewonlee
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_chaewonlee` is a English model originally trained by chaewonlee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_chaewonlee_en_5.5.0_3.0_1726346696478.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_chaewonlee_en_5.5.0_3.0_1726346696478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_chaewonlee|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/chaewonlee/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_fraisier_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_fraisier_en.md
new file mode 100644
index 00000000000000..adce6f6d296578
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_fraisier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_fraisier XlmRoBertaForTokenClassification from Fraisier
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_fraisier
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_fraisier` is a English model originally trained by Fraisier.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_fraisier_en_5.5.0_3.0_1726346559704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_fraisier_en_5.5.0_3.0_1726346559704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_fraisier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/Fraisier/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_sunwooooong_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_sunwooooong_en.md
new file mode 100644
index 00000000000000..830f084b677775
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_sunwooooong_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_sunwooooong XlmRoBertaForTokenClassification from sunwooooong
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_sunwooooong
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_sunwooooong` is a English model originally trained by sunwooooong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_sunwooooong_en_5.5.0_3.0_1726289439500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_sunwooooong_en_5.5.0_3.0_1726289439500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_sunwooooong|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/sunwooooong/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_italian_koroku_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_italian_koroku_en.md
new file mode 100644
index 00000000000000..9b32bdcaf0acce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_italian_koroku_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_koroku XlmRoBertaForTokenClassification from koroku
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_koroku
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_koroku` is a English model originally trained by koroku.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_koroku_en_5.5.0_3.0_1726289562632.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_koroku_en_5.5.0_3.0_1726289562632.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_koroku|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.2 MB|
+
+## References
+
+https://huggingface.co/koroku/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_trimmed_french_30000_tweet_sentiment_french_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_trimmed_french_30000_tweet_sentiment_french_pipeline_en.md
new file mode 100644
index 00000000000000..3f8ef65ce1fec7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_trimmed_french_30000_tweet_sentiment_french_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_french_30000_tweet_sentiment_french_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_french_30000_tweet_sentiment_french_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_french_30000_tweet_sentiment_french_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_french_30000_tweet_sentiment_french_pipeline_en_5.5.0_3.0_1726317520763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_french_30000_tweet_sentiment_french_pipeline_en_5.5.0_3.0_1726317520763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_trimmed_french_30000_tweet_sentiment_french_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_trimmed_french_30000_tweet_sentiment_french_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_french_30000_tweet_sentiment_french_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|388.3 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-fr-30000-tweet-sentiment-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-2407_lmsys_v01_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-2407_lmsys_v01_pipeline_en.md
new file mode 100644
index 00000000000000..73df40ea5c1e09
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-2407_lmsys_v01_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2407_lmsys_v01_pipeline pipeline DistilBertForSequenceClassification from tom-010
+author: John Snow Labs
+name: 2407_lmsys_v01_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2407_lmsys_v01_pipeline` is a English model originally trained by tom-010.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2407_lmsys_v01_pipeline_en_5.5.0_3.0_1726406389368.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2407_lmsys_v01_pipeline_en_5.5.0_3.0_1726406389368.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2407_lmsys_v01_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2407_lmsys_v01_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2407_lmsys_v01_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom-010/2407_lmsys_v01
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-adrv2024_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-adrv2024_pipeline_en.md
new file mode 100644
index 00000000000000..ddc77253acf404
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-adrv2024_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English adrv2024_pipeline pipeline DistilBertForSequenceClassification from jschwaller
+author: John Snow Labs
+name: adrv2024_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adrv2024_pipeline` is a English model originally trained by jschwaller.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adrv2024_pipeline_en_5.5.0_3.0_1726365835743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adrv2024_pipeline_en_5.5.0_3.0_1726365835743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("adrv2024_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("adrv2024_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adrv2024_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jschwaller/ADRv2024
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-albert_model__29_5_en.md b/docs/_posts/ahmedlone127/2024-09-15-albert_model__29_5_en.md
new file mode 100644
index 00000000000000..6ac257346a7456
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-albert_model__29_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_model__29_5 DistilBertForSequenceClassification from KalaiselvanD
+author: John Snow Labs
+name: albert_model__29_5
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_model__29_5` is a English model originally trained by KalaiselvanD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_model__29_5_en_5.5.0_3.0_1726365714209.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_model__29_5_en_5.5.0_3.0_1726365714209.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_model__29_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KalaiselvanD/albert_model__29_5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-albert_turkish_turkish_movie_reviews_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-15-albert_turkish_turkish_movie_reviews_pipeline_tr.md
new file mode 100644
index 00000000000000..a704eba0ff5a91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-albert_turkish_turkish_movie_reviews_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish albert_turkish_turkish_movie_reviews_pipeline pipeline AlbertForSequenceClassification from anilguven
+author: John Snow Labs
+name: albert_turkish_turkish_movie_reviews_pipeline
+date: 2024-09-15
+tags: [tr, open_source, pipeline, onnx]
+task: Text Classification
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_turkish_turkish_movie_reviews_pipeline` is a Turkish model originally trained by anilguven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_turkish_turkish_movie_reviews_pipeline_tr_5.5.0_3.0_1726396721926.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_turkish_turkish_movie_reviews_pipeline_tr_5.5.0_3.0_1726396721926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_turkish_turkish_movie_reviews_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_turkish_turkish_movie_reviews_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_turkish_turkish_movie_reviews_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|45.1 MB|
+
+## References
+
+https://huggingface.co/anilguven/albert_tr_turkish_movie_reviews
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-aqc_1_en.md b/docs/_posts/ahmedlone127/2024-09-15-aqc_1_en.md
new file mode 100644
index 00000000000000..3da246332a02b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-aqc_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English aqc_1 DistilBertForSequenceClassification from oyonay12
+author: John Snow Labs
+name: aqc_1
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aqc_1` is a English model originally trained by oyonay12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aqc_1_en_5.5.0_3.0_1726365944436.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aqc_1_en_5.5.0_3.0_1726365944436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aqc_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/oyonay12/aqc_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-aqc_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-aqc_1_pipeline_en.md
new file mode 100644
index 00000000000000..a61dcb16a06e23
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-aqc_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English aqc_1_pipeline pipeline DistilBertForSequenceClassification from oyonay12
+author: John Snow Labs
+name: aqc_1_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aqc_1_pipeline` is a English model originally trained by oyonay12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aqc_1_pipeline_en_5.5.0_3.0_1726365957264.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aqc_1_pipeline_en_5.5.0_3.0_1726365957264.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("aqc_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("aqc_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aqc_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/oyonay12/aqc_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-b_base_x12_en.md b/docs/_posts/ahmedlone127/2024-09-15-b_base_x12_en.md
new file mode 100644
index 00000000000000..18241678627a0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-b_base_x12_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English b_base_x12 AlbertForSequenceClassification from damgomz
+author: John Snow Labs
+name: b_base_x12
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`b_base_x12` is a English model originally trained by damgomz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/b_base_x12_en_5.5.0_3.0_1726372599287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/b_base_x12_en_5.5.0_3.0_1726372599287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_squad_question_generation_100_percent_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mohilp1998/bert-finetuned-squad-question-generation-100_percent-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_mahmoud59_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_mahmoud59_pipeline_en.md
new file mode 100644
index 00000000000000..5cdf99eb244eb0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_mahmoud59_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_mahmoud59_pipeline pipeline DistilBertForSequenceClassification from Mahmoud59
+author: John Snow Labs
+name: burmese_awesome_model_mahmoud59_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_mahmoud59_pipeline` is a English model originally trained by Mahmoud59.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_mahmoud59_pipeline_en_5.5.0_3.0_1726394105469.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_mahmoud59_pipeline_en_5.5.0_3.0_1726394105469.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_mahmoud59_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_mahmoud59_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_mahmoud59_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mahmoud59/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_hark99_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_hark99_pipeline_en.md
new file mode 100644
index 00000000000000..ede2caf118c110
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_hark99_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_hark99_pipeline pipeline DistilBertForQuestionAnswering from hark99
+author: John Snow Labs
+name: burmese_awesome_qa_model_hark99_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_hark99_pipeline` is a English model originally trained by hark99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_hark99_pipeline_en_5.5.0_3.0_1726435188505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_hark99_pipeline_en_5.5.0_3.0_1726435188505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_hark99_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_hark99_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_hark99_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/hark99/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_wearecoding_en.md b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_wearecoding_en.md
new file mode 100644
index 00000000000000..95cd57aada67b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_wearecoding_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_wearecoding DistilBertForQuestionAnswering from wearecoding
+author: John Snow Labs
+name: burmese_awesome_qa_model_wearecoding
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_wearecoding` is a English model originally trained by wearecoding.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_wearecoding_en_5.5.0_3.0_1726382835407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_wearecoding_en_5.5.0_3.0_1726382835407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_wearecoding|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/wearecoding/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-burmese_hw6_imdb_model_en.md b/docs/_posts/ahmedlone127/2024-09-15-burmese_hw6_imdb_model_en.md
new file mode 100644
index 00000000000000..ab8aadf218d36e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-burmese_hw6_imdb_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_hw6_imdb_model DistilBertForSequenceClassification from shahsp2
+author: John Snow Labs
+name: burmese_hw6_imdb_model
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_hw6_imdb_model` is a English model originally trained by shahsp2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_hw6_imdb_model_en_5.5.0_3.0_1726406214817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_hw6_imdb_model_en_5.5.0_3.0_1726406214817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_hw6_imdb_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/shahsp2/my_hw6_imdb_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-chatloom_test_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-chatloom_test_1_pipeline_en.md
new file mode 100644
index 00000000000000..e795ca4813ec11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-chatloom_test_1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English chatloom_test_1_pipeline pipeline RoBertaForQuestionAnswering from SkullWreker
+author: John Snow Labs
+name: chatloom_test_1_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chatloom_test_1_pipeline` is a English model originally trained by SkullWreker.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chatloom_test_1_pipeline_en_5.5.0_3.0_1726369312572.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chatloom_test_1_pipeline_en_5.5.0_3.0_1726369312572.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("chatloom_test_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("chatloom_test_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chatloom_test_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/SkullWreker/ChatLoom_Test_1
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-chinese_roberta_wwm_ext_finetuned_accelerate_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-chinese_roberta_wwm_ext_finetuned_accelerate_pipeline_en.md
new file mode 100644
index 00000000000000..7ef0ba3070c222
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-chinese_roberta_wwm_ext_finetuned_accelerate_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English chinese_roberta_wwm_ext_finetuned_accelerate_pipeline pipeline BertForQuestionAnswering from DaydreamerF
+author: John Snow Labs
+name: chinese_roberta_wwm_ext_finetuned_accelerate_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_roberta_wwm_ext_finetuned_accelerate_pipeline` is a English model originally trained by DaydreamerF.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_finetuned_accelerate_pipeline_en_5.5.0_3.0_1726367880377.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_finetuned_accelerate_pipeline_en_5.5.0_3.0_1726367880377.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("chinese_roberta_wwm_ext_finetuned_accelerate_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("chinese_roberta_wwm_ext_finetuned_accelerate_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_roberta_wwm_ext_finetuned_accelerate_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|381.0 MB|
+
+## References
+
+https://huggingface.co/DaydreamerF/chinese-roberta-wwm-ext-finetuned-accelerate
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-culturebank_relevance_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-culturebank_relevance_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..8378ea9e0de631
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-culturebank_relevance_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English culturebank_relevance_classifier_pipeline pipeline DistilBertForSequenceClassification from SALT-NLP
+author: John Snow Labs
+name: culturebank_relevance_classifier_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`culturebank_relevance_classifier_pipeline` is a English model originally trained by SALT-NLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/culturebank_relevance_classifier_pipeline_en_5.5.0_3.0_1726393554687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/culturebank_relevance_classifier_pipeline_en_5.5.0_3.0_1726393554687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("culturebank_relevance_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("culturebank_relevance_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|culturebank_relevance_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SALT-NLP/CultureBank-Relevance-Classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-custommodel_yelp1_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-custommodel_yelp1_1_pipeline_en.md
new file mode 100644
index 00000000000000..90b525aab785bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-custommodel_yelp1_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English custommodel_yelp1_1_pipeline pipeline DistilBertForSequenceClassification from Mintiny
+author: John Snow Labs
+name: custommodel_yelp1_1_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`custommodel_yelp1_1_pipeline` is a English model originally trained by Mintiny.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/custommodel_yelp1_1_pipeline_en_5.5.0_3.0_1726393894496.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/custommodel_yelp1_1_pipeline_en_5.5.0_3.0_1726393894496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("custommodel_yelp1_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("custommodel_yelp1_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|custommodel_yelp1_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mintiny/CustomModel_yelp1.1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-dialogue_one_sharontudi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-dialogue_one_sharontudi_pipeline_en.md
new file mode 100644
index 00000000000000..f7308bee9e580a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-dialogue_one_sharontudi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dialogue_one_sharontudi_pipeline pipeline DistilBertForSequenceClassification from SharonTudi
+author: John Snow Labs
+name: dialogue_one_sharontudi_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dialogue_one_sharontudi_pipeline` is a English model originally trained by SharonTudi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dialogue_one_sharontudi_pipeline_en_5.5.0_3.0_1726366578569.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dialogue_one_sharontudi_pipeline_en_5.5.0_3.0_1726366578569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dialogue_one_sharontudi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dialogue_one_sharontudi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dialogue_one_sharontudi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/SharonTudi/DIALOGUE_one
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distil_news_finetune_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distil_news_finetune_pipeline_en.md
new file mode 100644
index 00000000000000..ab5ea042a4321d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distil_news_finetune_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distil_news_finetune_pipeline pipeline DistilBertForSequenceClassification from anggari
+author: John Snow Labs
+name: distil_news_finetune_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_news_finetune_pipeline` is a English model originally trained by anggari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_news_finetune_pipeline_en_5.5.0_3.0_1726366318562.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_news_finetune_pipeline_en_5.5.0_3.0_1726366318562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distil_news_finetune_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distil_news_finetune_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_news_finetune_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/anggari/distil_news_finetune
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_spanish_cased_autext_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_spanish_cased_autext_en.md
new file mode 100644
index 00000000000000..2914c612d90c16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_spanish_cased_autext_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_spanish_cased_autext DistilBertForSequenceClassification from jorgefg03
+author: John Snow Labs
+name: distilbert_base_spanish_cased_autext
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_spanish_cased_autext` is a English model originally trained by jorgefg03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_cased_autext_en_5.5.0_3.0_1726394196869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_cased_autext_en_5.5.0_3.0_1726394196869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_spanish_cased_autext|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|238.9 MB|
+
+## References
+
+https://huggingface.co/jorgefg03/distilbert-base-es-cased-autext
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_cola_vpkoji_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_cola_vpkoji_en.md
new file mode 100644
index 00000000000000..6ea27fcaeeef1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_cola_vpkoji_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_vpkoji DistilBertForSequenceClassification from VPKoji
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_vpkoji
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_vpkoji` is a English model originally trained by VPKoji.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_vpkoji_en_5.5.0_3.0_1726406349502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_vpkoji_en_5.5.0_3.0_1726406349502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_vpkoji|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/VPKoji/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_1_13_am_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_1_13_am_pipeline_en.md
new file mode 100644
index 00000000000000..ff033da5108142
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_1_13_am_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_1_13_am_pipeline pipeline DistilBertForSequenceClassification from 1-13-am
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_1_13_am_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_1_13_am_pipeline` is a English model originally trained by 1-13-am.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_1_13_am_pipeline_en_5.5.0_3.0_1726393668777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_1_13_am_pipeline_en_5.5.0_3.0_1726393668777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_1_13_am_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_1_13_am_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_1_13_am_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/1-13-am/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_adlv_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_adlv_en.md
new file mode 100644
index 00000000000000..c287f5b3740060
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_adlv_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_adlv DistilBertForSequenceClassification from adlv
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_adlv
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_adlv` is a English model originally trained by adlv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_adlv_en_5.5.0_3.0_1726366192477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_adlv_en_5.5.0_3.0_1726366192477.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_adlv|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/adlv/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_edmonds0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_edmonds0_pipeline_en.md
new file mode 100644
index 00000000000000..3954a709ec202c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_edmonds0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_edmonds0_pipeline pipeline DistilBertForSequenceClassification from Edmonds0
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_edmonds0_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_edmonds0_pipeline` is a English model originally trained by Edmonds0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_edmonds0_pipeline_en_5.5.0_3.0_1726385522649.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_edmonds0_pipeline_en_5.5.0_3.0_1726385522649.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_edmonds0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_edmonds0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_edmonds0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Edmonds0/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_kaspersmidt_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_kaspersmidt_en.md
new file mode 100644
index 00000000000000..8edb259f992482
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_kaspersmidt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_kaspersmidt DistilBertForSequenceClassification from Kaspersmidt
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_kaspersmidt
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kaspersmidt` is a English model originally trained by Kaspersmidt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kaspersmidt_en_5.5.0_3.0_1726366369901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kaspersmidt_en_5.5.0_3.0_1726366369901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_manik114|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/manik114/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..1ad5c36bad783c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_pipeline_en_5.5.0_3.0_1726394289124.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_pipeline_en_5.5.0_3.0_1726394289124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_idm_zphr_0st52sd_ut32ut1_pl0stlarge42_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_idm_zphr_0st52sd_ut32ut1_PL0stlarge42_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_simsp_en.md
new file mode 100644
index 00000000000000..a1e4d7ace9dfda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_simsp
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_simsp_en_5.5.0_3.0_1726406120587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_simsp_en_5.5.0_3.0_1726406120587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_utility_zphr_0st_ut52ut1_plain_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_finance_future_amounts_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finance_future_amounts_en.md
new file mode 100644
index 00000000000000..bd13cfbd23110c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finance_future_amounts_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_finance_future_amounts DistilBertForSequenceClassification from finsynth
+author: John Snow Labs
+name: distilbert_finance_future_amounts
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finance_future_amounts` is a English model originally trained by finsynth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finance_future_amounts_en_5.5.0_3.0_1726365944593.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finance_future_amounts_en_5.5.0_3.0_1726365944593.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fernet_news_slovak|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|sk|
+|Size:|464.6 MB|
+
+## References
+
+https://huggingface.co/fav-kky/FERNET-News_sk
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-finetuned_sentiment_classfication_roberta_base_model_en.md b/docs/_posts/ahmedlone127/2024-09-15-finetuned_sentiment_classfication_roberta_base_model_en.md
new file mode 100644
index 00000000000000..7a5404796f932c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-finetuned_sentiment_classfication_roberta_base_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_sentiment_classfication_roberta_base_model RoBertaForSequenceClassification from Pendo
+author: John Snow Labs
+name: finetuned_sentiment_classfication_roberta_base_model
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentiment_classfication_roberta_base_model` is a English model originally trained by Pendo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_roberta_base_model_en_5.5.0_3.0_1726402239082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_roberta_base_model_en_5.5.0_3.0_1726402239082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentiment_classfication_roberta_base_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|445.1 MB|
+
+## References
+
+https://huggingface.co/Pendo/finetuned-Sentiment-classfication-ROBERTA-Base-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_cr7istian_en.md b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_cr7istian_en.md
new file mode 100644
index 00000000000000..8fb282270e4273
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_cr7istian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_cr7istian DistilBertForSequenceClassification from Cr7istian
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_cr7istian
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_cr7istian` is a English model originally trained by Cr7istian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_cr7istian_en_5.5.0_3.0_1726393983772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_cr7istian_en_5.5.0_3.0_1726393983772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_cr7istian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Cr7istian/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_hugrahulface_en.md b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_hugrahulface_en.md
new file mode 100644
index 00000000000000..8708bdb97f96c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_hugrahulface_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_hugrahulface DistilBertForSequenceClassification from hugrahulface
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_hugrahulface
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hugrahulface` is a English model originally trained by hugrahulface.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hugrahulface_en_5.5.0_3.0_1726406474985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hugrahulface_en_5.5.0_3.0_1726406474985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_hugrahulface|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hugrahulface/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_vipuljain_en.md b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_vipuljain_en.md
new file mode 100644
index 00000000000000..10fd505aee8d32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_vipuljain_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_vipuljain DistilBertForSequenceClassification from vipuljain
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_vipuljain
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_vipuljain` is a English model originally trained by vipuljain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vipuljain_en_5.5.0_3.0_1726366199282.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vipuljain_en_5.5.0_3.0_1726366199282.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_vipuljain|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vipuljain/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_david5473_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_david5473_pipeline_en.md
new file mode 100644
index 00000000000000..e113a06a9be4bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_david5473_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_david5473_pipeline pipeline DistilBertForSequenceClassification from David5473
+author: John Snow Labs
+name: finetuning_sentiment_model_david5473_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_david5473_pipeline` is a English model originally trained by David5473.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_david5473_pipeline_en_5.5.0_3.0_1726384914483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_david5473_pipeline_en_5.5.0_3.0_1726384914483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_david5473_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_david5473_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_david5473_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/David5473/finetuning-sentiment-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-hate_hate_balance_random0_seed2_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-15-hate_hate_balance_random0_seed2_bernice_en.md
new file mode 100644
index 00000000000000..5bb7c49b187ca2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-hate_hate_balance_random0_seed2_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_balance_random0_seed2_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_random0_seed2_bernice
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_random0_seed2_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random0_seed2_bernice_en_5.5.0_3.0_1726442147144.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random0_seed2_bernice_en_5.5.0_3.0_1726442147144.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_random0_seed2_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|783.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_random0_seed2-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-hatespeech_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-15-hatespeech_distilbert_en.md
new file mode 100644
index 00000000000000..74d0157c3560b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-hatespeech_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hatespeech_distilbert DistilBertForSequenceClassification from DL-Project
+author: John Snow Labs
+name: hatespeech_distilbert
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hatespeech_distilbert` is a English model originally trained by DL-Project.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hatespeech_distilbert_en_5.5.0_3.0_1726366288125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hatespeech_distilbert_en_5.5.0_3.0_1726366288125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hawk|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|463.5 MB|
+
+## References
+
+https://huggingface.co/nickbot606/hawk
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-lab9_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-lab9_model_pipeline_en.md
new file mode 100644
index 00000000000000..47f7efcef5886a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-lab9_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English lab9_model_pipeline pipeline DistilBertForQuestionAnswering from krob
+author: John Snow Labs
+name: lab9_model_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab9_model_pipeline` is a English model originally trained by krob.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab9_model_pipeline_en_5.5.0_3.0_1726382426053.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab9_model_pipeline_en_5.5.0_3.0_1726382426053.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lab9_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lab9_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab9_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/krob/lab9_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-malayalam_anomaly_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-malayalam_anomaly_pipeline_en.md
new file mode 100644
index 00000000000000..377cc6ffb6ccdb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-malayalam_anomaly_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English malayalam_anomaly_pipeline pipeline DistilBertForSequenceClassification from rn7s2
+author: John Snow Labs
+name: malayalam_anomaly_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malayalam_anomaly_pipeline` is a English model originally trained by rn7s2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malayalam_anomaly_pipeline_en_5.5.0_3.0_1726366508291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malayalam_anomaly_pipeline_en_5.5.0_3.0_1726366508291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("malayalam_anomaly_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("malayalam_anomaly_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malayalam_anomaly_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rn7s2/ml_anomaly
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-mbtipj_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-mbtipj_pipeline_en.md
new file mode 100644
index 00000000000000..75bb34b1d9133e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-mbtipj_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mbtipj_pipeline pipeline AlbertForSequenceClassification from StormyCreeper
+author: John Snow Labs
+name: mbtipj_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbtipj_pipeline` is a English model originally trained by StormyCreeper.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbtipj_pipeline_en_5.5.0_3.0_1726372193275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbtipj_pipeline_en_5.5.0_3.0_1726372193275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mbtipj_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mbtipj_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbtipj_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/StormyCreeper/mbtiPJ
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-model_01_s14_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-model_01_s14_pipeline_en.md
new file mode 100644
index 00000000000000..f54283a432cbaf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-model_01_s14_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model_01_s14_pipeline pipeline RoBertaForSequenceClassification from Lucrosus
+author: John Snow Labs
+name: model_01_s14_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_01_s14_pipeline` is a English model originally trained by Lucrosus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_01_s14_pipeline_en_5.5.0_3.0_1726439311736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_01_s14_pipeline_en_5.5.0_3.0_1726439311736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model_01_s14_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model_01_s14_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_01_s14_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Lucrosus/model-01-s14
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-models_mil00_en.md b/docs/_posts/ahmedlone127/2024-09-15-models_mil00_en.md
new file mode 100644
index 00000000000000..6d76846f7c5d26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-models_mil00_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English models_mil00 DistilBertForSequenceClassification from Mil00
+author: John Snow Labs
+name: models_mil00
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`models_mil00` is a English model originally trained by Mil00.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/models_mil00_en_5.5.0_3.0_1726393772071.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/models_mil00_en_5.5.0_3.0_1726393772071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mon_modele_whisper_json|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/jeanbap166/mon-modele-whisper_json
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-multi_label_class_classification_on_github_issues_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-multi_label_class_classification_on_github_issues_pipeline_en.md
new file mode 100644
index 00000000000000..61159a617d61cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-multi_label_class_classification_on_github_issues_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English multi_label_class_classification_on_github_issues_pipeline pipeline BertForSequenceClassification from Rami
+author: John Snow Labs
+name: multi_label_class_classification_on_github_issues_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multi_label_class_classification_on_github_issues_pipeline` is a English model originally trained by Rami.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multi_label_class_classification_on_github_issues_pipeline_en_5.5.0_3.0_1726375923874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multi_label_class_classification_on_github_issues_pipeline_en_5.5.0_3.0_1726375923874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("multi_label_class_classification_on_github_issues_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("multi_label_class_classification_on_github_issues_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multi_label_class_classification_on_github_issues_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.5 MB|
+
+## References
+
+https://huggingface.co/Rami/multi-label-class-classification-on-github-issues
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-n_roberta_sst5_padding20model_en.md b/docs/_posts/ahmedlone127/2024-09-15-n_roberta_sst5_padding20model_en.md
new file mode 100644
index 00000000000000..781f5226127ee1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-n_roberta_sst5_padding20model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_roberta_sst5_padding20model RoBertaForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_roberta_sst5_padding20model
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_roberta_sst5_padding20model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_roberta_sst5_padding20model_en_5.5.0_3.0_1726439884199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_roberta_sst5_padding20model_en_5.5.0_3.0_1726439884199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_roberta_sst5_padding20model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|439.1 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_roberta_sst5_padding20model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-ner_411_2_id.md b/docs/_posts/ahmedlone127/2024-09-15-ner_411_2_id.md
new file mode 100644
index 00000000000000..6538ad8bdd8d6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-ner_411_2_id.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Indonesian ner_411_2 XlmRoBertaForTokenClassification from blekkk
+author: John Snow Labs
+name: ner_411_2
+date: 2024-09-15
+tags: [id, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_411_2` is a Indonesian model originally trained by blekkk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_411_2_id_5.5.0_3.0_1726397714998.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_411_2_id_5.5.0_3.0_1726397714998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+References
+
+References
+
+https://huggingface.co/soyisauce/output
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-ratingbook_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-ratingbook_pipeline_en.md
new file mode 100644
index 00000000000000..8d965fc6ebd4cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-ratingbook_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ratingbook_pipeline pipeline DistilBertForSequenceClassification from DragonImortal
+author: John Snow Labs
+name: ratingbook_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ratingbook_pipeline` is a English model originally trained by DragonImortal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ratingbook_pipeline_en_5.5.0_3.0_1726394108104.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ratingbook_pipeline_en_5.5.0_3.0_1726394108104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ratingbook_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ratingbook_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ratingbook_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DragonImortal/Ratingbook
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-retrieval_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-retrieval_model_pipeline_en.md
new file mode 100644
index 00000000000000..85c938bf1bb1de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-retrieval_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English retrieval_model_pipeline pipeline DistilBertForSequenceClassification from sms1097
+author: John Snow Labs
+name: retrieval_model_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`retrieval_model_pipeline` is a English model originally trained by sms1097.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/retrieval_model_pipeline_en_5.5.0_3.0_1726365727359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/retrieval_model_pipeline_en_5.5.0_3.0_1726365727359.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("retrieval_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("retrieval_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|retrieval_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sms1097/retrieval_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_base_bne_finetuned_sqac_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_base_bne_finetuned_sqac_pipeline_en.md
new file mode 100644
index 00000000000000..51e94d55cc7654
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_base_bne_finetuned_sqac_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_sqac_pipeline pipeline RoBertaForQuestionAnswering from DevCar
+author: John Snow Labs
+name: roberta_base_bne_finetuned_sqac_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_sqac_pipeline` is a English model originally trained by DevCar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_sqac_pipeline_en_5.5.0_3.0_1726368815186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_sqac_pipeline_en_5.5.0_3.0_1726368815186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_bne_finetuned_sqac_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_bne_finetuned_sqac_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_sqac_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|457.4 MB|
+
+## References
+
+https://huggingface.co/DevCar/roberta-base-bne-finetuned-sqac
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_base_epoch_57_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_base_epoch_57_en.md
new file mode 100644
index 00000000000000..2b3e000e9a83dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_base_epoch_57_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_epoch_57 RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_57
+date: 2024-09-15
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_57` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_57_en_5.5.0_3.0_1726413324052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_57_en_5.5.0_3.0_1726413324052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_57|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_57
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_base_finetuned_academic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_base_finetuned_academic_pipeline_en.md
new file mode 100644
index 00000000000000..c51556400f8437
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_base_finetuned_academic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_academic_pipeline pipeline RoBertaEmbeddings from egumasa
+author: John Snow Labs
+name: roberta_base_finetuned_academic_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_academic_pipeline` is a English model originally trained by egumasa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_academic_pipeline_en_5.5.0_3.0_1726413979664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_academic_pipeline_en_5.5.0_3.0_1726413979664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_academic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_academic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_academic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/egumasa/roberta-base-finetuned-academic
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_spanish_v2_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_spanish_v2_en.md
new file mode 100644
index 00000000000000..a73e2c811400f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_spanish_v2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_spanish_v2 RoBertaForQuestionAnswering from enriquesaou
+author: John Snow Labs
+name: roberta_spanish_v2
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_spanish_v2` is a English model originally trained by enriquesaou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_spanish_v2_en_5.5.0_3.0_1726364035175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_spanish_v2_en_5.5.0_3.0_1726364035175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_spanish_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|436.5 MB|
+
+## References
+
+https://huggingface.co/enriquesaou/roberta_es_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-sent_clinicaltrialbiobert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-sent_clinicaltrialbiobert_pipeline_en.md
new file mode 100644
index 00000000000000..5638018c3684d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-sent_clinicaltrialbiobert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_clinicaltrialbiobert_pipeline pipeline BertSentenceEmbeddings from domenicrosati
+author: John Snow Labs
+name: sent_clinicaltrialbiobert_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_clinicaltrialbiobert_pipeline` is a English model originally trained by domenicrosati.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_clinicaltrialbiobert_pipeline_en_5.5.0_3.0_1726442987150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_clinicaltrialbiobert_pipeline_en_5.5.0_3.0_1726442987150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_clinicaltrialbiobert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_clinicaltrialbiobert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_clinicaltrialbiobert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.3 MB|
+
+## References
+
+https://huggingface.co/domenicrosati/ClinicalTrialBioBert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-sent_gbert_base_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-15-sent_gbert_base_pipeline_de.md
new file mode 100644
index 00000000000000..c15b68ed056289
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-sent_gbert_base_pipeline_de.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: German sent_gbert_base_pipeline pipeline BertSentenceEmbeddings from deepset
+author: John Snow Labs
+name: sent_gbert_base_pipeline
+date: 2024-09-15
+tags: [de, open_source, pipeline, onnx]
+task: Embeddings
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_gbert_base_pipeline` is a German model originally trained by deepset.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_gbert_base_pipeline_de_5.5.0_3.0_1726436783308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_gbert_base_pipeline_de_5.5.0_3.0_1726436783308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_gbert_base_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_gbert_base_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_gbert_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|410.3 MB|
+
+## References
+
+https://huggingface.co/deepset/gbert-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-sent_greeksocialbert_base_greek_social_media_v2_el.md b/docs/_posts/ahmedlone127/2024-09-15-sent_greeksocialbert_base_greek_social_media_v2_el.md
new file mode 100644
index 00000000000000..c9bb9e89cac6dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-sent_greeksocialbert_base_greek_social_media_v2_el.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Modern Greek (1453-) sent_greeksocialbert_base_greek_social_media_v2 BertSentenceEmbeddings from pchatz
+author: John Snow Labs
+name: sent_greeksocialbert_base_greek_social_media_v2
+date: 2024-09-15
+tags: [el, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: el
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_greeksocialbert_base_greek_social_media_v2` is a Modern Greek (1453-) model originally trained by pchatz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_greeksocialbert_base_greek_social_media_v2_el_5.5.0_3.0_1726443236388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_greeksocialbert_base_greek_social_media_v2_el_5.5.0_3.0_1726443236388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_greeksocialbert_base_greek_social_media_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|el|
+|Size:|421.3 MB|
+
+## References
+
+https://huggingface.co/pchatz/greeksocialbert-base-greek-social-media-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-six_class_sentimental_classifier_distilbert_base_en.md b/docs/_posts/ahmedlone127/2024-09-15-six_class_sentimental_classifier_distilbert_base_en.md
new file mode 100644
index 00000000000000..9cfac3609e698c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-six_class_sentimental_classifier_distilbert_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English six_class_sentimental_classifier_distilbert_base DistilBertForSequenceClassification from halugop
+author: John Snow Labs
+name: six_class_sentimental_classifier_distilbert_base
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`six_class_sentimental_classifier_distilbert_base` is a English model originally trained by halugop.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/six_class_sentimental_classifier_distilbert_base_en_5.5.0_3.0_1726393675841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/six_class_sentimental_classifier_distilbert_base_en_5.5.0_3.0_1726393675841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|six_class_sentimental_classifier_distilbert_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/halugop/Six_Class_Sentimental_Classifier_DistilBERT_base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_30_2024_07_26_16_03_28_en.md b/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_30_2024_07_26_16_03_28_en.md
new file mode 100644
index 00000000000000..2a52cbe100021d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_30_2024_07_26_16_03_28_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_30_2024_07_26_16_03_28 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_30_2024_07_26_16_03_28
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_30_2024_07_26_16_03_28` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_30_2024_07_26_16_03_28_en_5.5.0_3.0_1726406110768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_30_2024_07_26_16_03_28_en_5.5.0_3.0_1726406110768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_30_2024_07_26_16_03_28|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-30-2024-07-26_16-03-28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_41_start_exp_time_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_41_start_exp_time_pipeline_en.md
new file mode 100644
index 00000000000000..7d87497879bc1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_41_start_exp_time_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_41_start_exp_time_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_41_start_exp_time_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_41_start_exp_time_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_41_start_exp_time_pipeline_en_5.5.0_3.0_1726393672043.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_41_start_exp_time_pipeline_en_5.5.0_3.0_1726393672043.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_41_start_exp_time_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_41_start_exp_time_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_41_start_exp_time_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-41-START_EXP_TIME
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_51_start_exp_time_en.md b/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_51_start_exp_time_en.md
new file mode 100644
index 00000000000000..92b0b20185a5c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_51_start_exp_time_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_51_start_exp_time DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_51_start_exp_time
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_51_start_exp_time` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_51_start_exp_time_en_5.5.0_3.0_1726405783186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_51_start_exp_time_en_5.5.0_3.0_1726405783186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_51_start_exp_time|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-51-START_EXP_TIME
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-sun_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-sun_pipeline_en.md
new file mode 100644
index 00000000000000..555c8b9bb4f82b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-sun_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sun_pipeline pipeline DistilBertForSequenceClassification from chebmarcel
+author: John Snow Labs
+name: sun_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sun_pipeline` is a English model originally trained by chebmarcel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sun_pipeline_en_5.5.0_3.0_1726406032178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sun_pipeline_en_5.5.0_3.0_1726406032178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sun_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sun_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sun_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chebmarcel/sun
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_en.md b/docs/_posts/ahmedlone127/2024-09-15-tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_en.md
new file mode 100644
index 00000000000000..6f01466414b935
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32 WhisperForCTC from saahith
+author: John Snow Labs
+name: tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32
+date: 2024-09-15
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_en_5.5.0_3.0_1726425306754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32_en_5.5.0_3.0_1726425306754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_english_combined_v4_4_0_8_1e_06_silver_sweep_32|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|394.8 MB|
+
+## References
+
+https://huggingface.co/saahith/tiny.en-combined_v4-4-0-8-1e-06-silver-sweep-32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-visobert_vihds_en.md b/docs/_posts/ahmedlone127/2024-09-15-visobert_vihds_en.md
new file mode 100644
index 00000000000000..baa8a39f019b1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-visobert_vihds_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English visobert_vihds XlmRoBertaForSequenceClassification from kietnt0603
+author: John Snow Labs
+name: visobert_vihds
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`visobert_vihds` is a English model originally trained by kietnt0603.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/visobert_vihds_en_5.5.0_3.0_1726440474925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/visobert_vihds_en_5.5.0_3.0_1726440474925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|visobert_vihds|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|365.9 MB|
+
+## References
+
+https://huggingface.co/kietnt0603/visobert-vihds
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-w_f1_tiny_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-w_f1_tiny_pipeline_en.md
new file mode 100644
index 00000000000000..c7163661d6fa50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-w_f1_tiny_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English w_f1_tiny_pipeline pipeline WhisperForCTC from bhattasp
+author: John Snow Labs
+name: w_f1_tiny_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`w_f1_tiny_pipeline` is a English model originally trained by bhattasp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/w_f1_tiny_pipeline_en_5.5.0_3.0_1726407222900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/w_f1_tiny_pipeline_en_5.5.0_3.0_1726407222900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("w_f1_tiny_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("w_f1_tiny_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|w_f1_tiny_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/bhattasp/w_f1_tiny
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_small_ga2en_v1_0_1_pipeline_ga.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_ga2en_v1_0_1_pipeline_ga.md
new file mode 100644
index 00000000000000..3bfdb74892108d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_ga2en_v1_0_1_pipeline_ga.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Irish whisper_small_ga2en_v1_0_1_pipeline pipeline WhisperForCTC from ymoslem
+author: John Snow Labs
+name: whisper_small_ga2en_v1_0_1_pipeline
+date: 2024-09-15
+tags: [ga, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ga
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_ga2en_v1_0_1_pipeline` is a Irish model originally trained by ymoslem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_ga2en_v1_0_1_pipeline_ga_5.5.0_3.0_1726432147893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_ga2en_v1_0_1_pipeline_ga_5.5.0_3.0_1726432147893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_ga2en_v1_0_1_pipeline", lang = "ga")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_ga2en_v1_0_1_pipeline", lang = "ga")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_ga2en_v1_0_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ga|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ymoslem/whisper-small-ga2en-v1.0.1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_small_northern_sami_pipeline_sv.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_northern_sami_pipeline_sv.md
new file mode 100644
index 00000000000000..426953ece11613
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_northern_sami_pipeline_sv.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Swedish whisper_small_northern_sami_pipeline pipeline WhisperForCTC from TeoJM
+author: John Snow Labs
+name: whisper_small_northern_sami_pipeline
+date: 2024-09-15
+tags: [sv, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: sv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_northern_sami_pipeline` is a Swedish model originally trained by TeoJM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_northern_sami_pipeline_sv_5.5.0_3.0_1726410543283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_northern_sami_pipeline_sv_5.5.0_3.0_1726410543283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_northern_sami_pipeline", lang = "sv")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_northern_sami_pipeline", lang = "sv")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_northern_sami_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|sv|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/TeoJM/whisper-small-se
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_small_northern_sami_sv.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_northern_sami_sv.md
new file mode 100644
index 00000000000000..00bbdaf5f2ac5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_northern_sami_sv.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Swedish whisper_small_northern_sami WhisperForCTC from TeoJM
+author: John Snow Labs
+name: whisper_small_northern_sami
+date: 2024-09-15
+tags: [sv, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: sv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_northern_sami` is a Swedish model originally trained by TeoJM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_northern_sami_sv_5.5.0_3.0_1726410459125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_northern_sami_sv_5.5.0_3.0_1726410459125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_northern_sami|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|sv|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/TeoJM/whisper-small-se
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_small_vietnamese_joey234_pipeline_vi.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_vietnamese_joey234_pipeline_vi.md
new file mode 100644
index 00000000000000..8a5c91f13eff49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_vietnamese_joey234_pipeline_vi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Vietnamese whisper_small_vietnamese_joey234_pipeline pipeline WhisperForCTC from joey234
+author: John Snow Labs
+name: whisper_small_vietnamese_joey234_pipeline
+date: 2024-09-15
+tags: [vi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: vi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_vietnamese_joey234_pipeline` is a Vietnamese model originally trained by joey234.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_vietnamese_joey234_pipeline_vi_5.5.0_3.0_1726420433791.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_vietnamese_joey234_pipeline_vi_5.5.0_3.0_1726420433791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_vietnamese_joey234_pipeline", lang = "vi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_vietnamese_joey234_pipeline", lang = "vi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_vietnamese_joey234_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|vi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/joey234/whisper-small-vi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_child10k_adult6k_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_child10k_adult6k_pipeline_ko.md
new file mode 100644
index 00000000000000..cd88bcab5b5b7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_child10k_adult6k_pipeline_ko.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Korean whisper_tiny_child10k_adult6k_pipeline pipeline WhisperForCTC from haseong8012
+author: John Snow Labs
+name: whisper_tiny_child10k_adult6k_pipeline
+date: 2024-09-15
+tags: [ko, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_child10k_adult6k_pipeline` is a Korean model originally trained by haseong8012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_child10k_adult6k_pipeline_ko_5.5.0_3.0_1726425725889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_child10k_adult6k_pipeline_ko_5.5.0_3.0_1726425725889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_child10k_adult6k_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_child10k_adult6k_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_child10k_adult6k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|390.1 MB|
+
+## References
+
+https://huggingface.co/haseong8012/whisper-tiny_child10k-adult6k
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_faroese_100h_5k_steps_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_faroese_100h_5k_steps_v2_pipeline_en.md
new file mode 100644
index 00000000000000..563ce6e699b879
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_faroese_100h_5k_steps_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_faroese_100h_5k_steps_v2_pipeline pipeline WhisperForCTC from davidilag
+author: John Snow Labs
+name: whisper_tiny_faroese_100h_5k_steps_v2_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_faroese_100h_5k_steps_v2_pipeline` is a English model originally trained by davidilag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_faroese_100h_5k_steps_v2_pipeline_en_5.5.0_3.0_1726412181921.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_faroese_100h_5k_steps_v2_pipeline_en_5.5.0_3.0_1726412181921.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_faroese_100h_5k_steps_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_faroese_100h_5k_steps_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_faroese_100h_5k_steps_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/davidilag/whisper-tiny-fo-100h-5k-steps_v2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_hebrew_modern_2_mike249_pipeline_he.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_hebrew_modern_2_mike249_pipeline_he.md
new file mode 100644
index 00000000000000..3e4036e09a11f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_hebrew_modern_2_mike249_pipeline_he.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hebrew whisper_tiny_hebrew_modern_2_mike249_pipeline pipeline WhisperForCTC from mike249
+author: John Snow Labs
+name: whisper_tiny_hebrew_modern_2_mike249_pipeline
+date: 2024-09-15
+tags: [he, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: he
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_hebrew_modern_2_mike249_pipeline` is a Hebrew model originally trained by mike249.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_hebrew_modern_2_mike249_pipeline_he_5.5.0_3.0_1726386999871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_hebrew_modern_2_mike249_pipeline_he_5.5.0_3.0_1726386999871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_hebrew_modern_2_mike249_pipeline", lang = "he")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_hebrew_modern_2_mike249_pipeline", lang = "he")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_hebrew_modern_2_mike249_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|he|
+|Size:|390.1 MB|
+
+## References
+
+https://huggingface.co/mike249/whisper-tiny-he-2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-withinapps_ndd_claroline_test_content_tags_cwadj_en.md b/docs/_posts/ahmedlone127/2024-09-15-withinapps_ndd_claroline_test_content_tags_cwadj_en.md
new file mode 100644
index 00000000000000..fce55c16341a9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-withinapps_ndd_claroline_test_content_tags_cwadj_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English withinapps_ndd_claroline_test_content_tags_cwadj DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_claroline_test_content_tags_cwadj
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_claroline_test_content_tags_cwadj` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_claroline_test_content_tags_cwadj_en_5.5.0_3.0_1726406164624.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_claroline_test_content_tags_cwadj_en_5.5.0_3.0_1726406164624.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_claroline_test_content_tags_cwadj|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-claroline_test-content_tags-CWAdj
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_cobaxlmr_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_cobaxlmr_en.md
new file mode 100644
index 00000000000000..1f45448bd058fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_cobaxlmr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_cobaxlmr XlmRoBertaForSequenceClassification from alyazharr
+author: John Snow Labs
+name: xlm_roberta_base_cobaxlmr
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_cobaxlmr` is a English model originally trained by alyazharr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_cobaxlmr_en_5.5.0_3.0_1726433906680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_cobaxlmr_en_5.5.0_3.0_1726433906680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_cobaxlmr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|827.0 MB|
+
+## References
+
+https://huggingface.co/alyazharr/xlm_roberta_base_cobaxlmr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_english_thkkvui_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_english_thkkvui_en.md
new file mode 100644
index 00000000000000..0c6a1c7a470c03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_english_thkkvui_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_thkkvui XlmRoBertaForTokenClassification from thkkvui
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_thkkvui
+date: 2024-09-15
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_thkkvui` is a English model originally trained by thkkvui.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_thkkvui_en_5.5.0_3.0_1726370740706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_thkkvui_en_5.5.0_3.0_1726370740706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_thkkvui|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/thkkvui/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_aidiary_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_aidiary_pipeline_en.md
new file mode 100644
index 00000000000000..c1ac89165f260c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_aidiary_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_aidiary_pipeline pipeline XlmRoBertaForTokenClassification from aidiary
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_aidiary_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_aidiary_pipeline` is a English model originally trained by aidiary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_aidiary_pipeline_en_5.5.0_3.0_1726362502384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_aidiary_pipeline_en_5.5.0_3.0_1726362502384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_aidiary_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_aidiary_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_aidiary_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/aidiary/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_rigsbyjt_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_rigsbyjt_en.md
new file mode 100644
index 00000000000000..91a14607809328
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_rigsbyjt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_rigsbyjt XlmRoBertaForTokenClassification from rigsbyjt
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_rigsbyjt
+date: 2024-09-15
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_rigsbyjt` is a English model originally trained by rigsbyjt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_rigsbyjt_en_5.5.0_3.0_1726362911288.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_rigsbyjt_en_5.5.0_3.0_1726362911288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_rigsbyjt|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/rigsbyjt/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_rigsbyjt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_rigsbyjt_pipeline_en.md
new file mode 100644
index 00000000000000..b0b5591f95b377
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_german_rigsbyjt_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_rigsbyjt_pipeline pipeline XlmRoBertaForTokenClassification from rigsbyjt
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_rigsbyjt_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_rigsbyjt_pipeline` is a English model originally trained by rigsbyjt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_rigsbyjt_pipeline_en_5.5.0_3.0_1726362974578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_rigsbyjt_pipeline_en_5.5.0_3.0_1726362974578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_rigsbyjt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_rigsbyjt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_rigsbyjt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/rigsbyjt/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_trimmed_arabic_15000_xnli_arabic_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_trimmed_arabic_15000_xnli_arabic_en.md
new file mode 100644
index 00000000000000..76ff9d2331722f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_trimmed_arabic_15000_xnli_arabic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_arabic_15000_xnli_arabic XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_arabic_15000_xnli_arabic
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_arabic_15000_xnli_arabic` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_arabic_15000_xnli_arabic_en_5.5.0_3.0_1726373030353.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_arabic_15000_xnli_arabic_en_5.5.0_3.0_1726373030353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_arabic_15000_xnli_arabic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|364.9 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-ar-15000-xnli-ar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_trimmed_german_60000_tweet_sentiment_german_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_trimmed_german_60000_tweet_sentiment_german_en.md
new file mode 100644
index 00000000000000..88473d0ffd4364
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_trimmed_german_60000_tweet_sentiment_german_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_german_60000_tweet_sentiment_german XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_german_60000_tweet_sentiment_german
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_german_60000_tweet_sentiment_german` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_german_60000_tweet_sentiment_german_en_5.5.0_3.0_1726373060290.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_german_60000_tweet_sentiment_german_en_5.5.0_3.0_1726373060290.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_german_60000_tweet_sentiment_german|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.5 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-de-60000-tweet-sentiment-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-200mil_codeberta_small_v1_en.md b/docs/_posts/ahmedlone127/2024-09-16-200mil_codeberta_small_v1_en.md
new file mode 100644
index 00000000000000..4c1ea36931b144
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-200mil_codeberta_small_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 200mil_codeberta_small_v1 RoBertaForSequenceClassification from G-WOO
+author: John Snow Labs
+name: 200mil_codeberta_small_v1
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`200mil_codeberta_small_v1` is a English model originally trained by G-WOO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/200mil_codeberta_small_v1_en_5.5.0_3.0_1726504699805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/200mil_codeberta_small_v1_en_5.5.0_3.0_1726504699805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|200mil_codeberta_small_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|314.0 MB|
+
+## References
+
+https://huggingface.co/G-WOO/200mil-CodeBERTa-small-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-2504separado1_en.md b/docs/_posts/ahmedlone127/2024-09-16-2504separado1_en.md
new file mode 100644
index 00000000000000..59c9729df4ccaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-2504separado1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2504separado1 RoBertaForSequenceClassification from adriansanz
+author: John Snow Labs
+name: 2504separado1
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2504separado1` is a English model originally trained by adriansanz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2504separado1_en_5.5.0_3.0_1726455828348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2504separado1_en_5.5.0_3.0_1726455828348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2504separado1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|448.4 MB|
+
+## References
+
+https://huggingface.co/adriansanz/2504separado1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-2504separado1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-2504separado1_pipeline_en.md
new file mode 100644
index 00000000000000..56ec4604d90dc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-2504separado1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2504separado1_pipeline pipeline RoBertaForSequenceClassification from adriansanz
+author: John Snow Labs
+name: 2504separado1_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2504separado1_pipeline` is a English model originally trained by adriansanz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2504separado1_pipeline_en_5.5.0_3.0_1726455856455.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2504separado1_pipeline_en_5.5.0_3.0_1726455856455.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2504separado1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2504separado1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2504separado1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|448.4 MB|
+
+## References
+
+https://huggingface.co/adriansanz/2504separado1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-afro_xlmr_base_hausa_2e_5_en.md b/docs/_posts/ahmedlone127/2024-09-16-afro_xlmr_base_hausa_2e_5_en.md
new file mode 100644
index 00000000000000..b0965a9ee8e323
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-afro_xlmr_base_hausa_2e_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English afro_xlmr_base_hausa_2e_5 XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: afro_xlmr_base_hausa_2e_5
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afro_xlmr_base_hausa_2e_5` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afro_xlmr_base_hausa_2e_5_en_5.5.0_3.0_1726498048437.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afro_xlmr_base_hausa_2e_5_en_5.5.0_3.0_1726498048437.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afro_xlmr_base_hausa_2e_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/grace-pro/afro-xlmr-base-hausa-2e-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-ag_news_bert_classification_en.md b/docs/_posts/ahmedlone127/2024-09-16-ag_news_bert_classification_en.md
new file mode 100644
index 00000000000000..9259bbcef6c0d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-ag_news_bert_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ag_news_bert_classification BertForSequenceClassification from mansoorhamidzadeh
+author: John Snow Labs
+name: ag_news_bert_classification
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ag_news_bert_classification` is a English model originally trained by mansoorhamidzadeh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ag_news_bert_classification_en_5.5.0_3.0_1726462574545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ag_news_bert_classification_en_5.5.0_3.0_1726462574545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ag_news_bert_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/mansoorhamidzadeh/ag-news-bert-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-ag_news_classification_distillbert_en.md b/docs/_posts/ahmedlone127/2024-09-16-ag_news_classification_distillbert_en.md
new file mode 100644
index 00000000000000..5f45202e5ddb5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-ag_news_classification_distillbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ag_news_classification_distillbert DistilBertForSequenceClassification from cornelliusyudhawijaya
+author: John Snow Labs
+name: ag_news_classification_distillbert
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ag_news_classification_distillbert` is a English model originally trained by cornelliusyudhawijaya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ag_news_classification_distillbert_en_5.5.0_3.0_1726506389298.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ag_news_classification_distillbert_en_5.5.0_3.0_1726506389298.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ag_news_classification_distillbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cornelliusyudhawijaya/AG_News_Classification_DistillBert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-ai_text_detector_en.md b/docs/_posts/ahmedlone127/2024-09-16-ai_text_detector_en.md
new file mode 100644
index 00000000000000..28b1659e99e1d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-ai_text_detector_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ai_text_detector BertForSequenceClassification from yongchao
+author: John Snow Labs
+name: ai_text_detector
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ai_text_detector` is a English model originally trained by yongchao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ai_text_detector_en_5.5.0_3.0_1726493332482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ai_text_detector_en_5.5.0_3.0_1726493332482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ai_text_detector|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yongchao/ai_text_detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-albert_sentiment_analysis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-albert_sentiment_analysis_pipeline_en.md
new file mode 100644
index 00000000000000..d1261823b9fefe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-albert_sentiment_analysis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_sentiment_analysis_pipeline pipeline AlbertForSequenceClassification from maherh
+author: John Snow Labs
+name: albert_sentiment_analysis_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_sentiment_analysis_pipeline` is a English model originally trained by maherh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_sentiment_analysis_pipeline_en_5.5.0_3.0_1726523544056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_sentiment_analysis_pipeline_en_5.5.0_3.0_1726523544056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_sentiment_analysis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_sentiment_analysis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_sentiment_analysis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/maherh/albert_sentiment_analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_utility_4_16_5_oos_en.md b/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_utility_4_16_5_oos_en.md
new file mode 100644
index 00000000000000..7a8c8ece0a97a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_utility_4_16_5_oos_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_utility_4_16_5_oos RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_utility_4_16_5_oos
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_utility_4_16_5_oos` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_utility_4_16_5_oos_en_5.5.0_3.0_1726518405918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_utility_4_16_5_oos_en_5.5.0_3.0_1726518405918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alvaro_marian_finetuned_italian_turkish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Rooshan/Alvaro-marian_finetuned_it_tr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-autotrain_tais_roberta_53328125642_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-autotrain_tais_roberta_53328125642_pipeline_en.md
new file mode 100644
index 00000000000000..c39eb82ccab750
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-autotrain_tais_roberta_53328125642_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_tais_roberta_53328125642_pipeline pipeline RoBertaForSequenceClassification from manasviiiiiiiiiiiiiiiiiiiiiiiiii
+author: John Snow Labs
+name: autotrain_tais_roberta_53328125642_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_tais_roberta_53328125642_pipeline` is a English model originally trained by manasviiiiiiiiiiiiiiiiiiiiiiiiii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_tais_roberta_53328125642_pipeline_en_5.5.0_3.0_1726471499499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_tais_roberta_53328125642_pipeline_en_5.5.0_3.0_1726471499499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_tais_roberta_53328125642_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_tais_roberta_53328125642_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_tais_roberta_53328125642_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|423.2 MB|
+
+## References
+
+https://huggingface.co/manasviiiiiiiiiiiiiiiiiiiiiiiiii/autotrain-tais-roberta-53328125642
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-baby_cothought_en.md b/docs/_posts/ahmedlone127/2024-09-16-baby_cothought_en.md
new file mode 100644
index 00000000000000..b2e90ea9b4a377
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-baby_cothought_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English baby_cothought RoBertaEmbeddings from yaanhaan
+author: John Snow Labs
+name: baby_cothought
+date: 2024-09-16
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`baby_cothought` is a English model originally trained by yaanhaan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/baby_cothought_en_5.5.0_3.0_1726513878475.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/baby_cothought_en_5.5.0_3.0_1726513878475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|baby_cothought|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|470.9 MB|
+
+## References
+
+https://huggingface.co/yaanhaan/Baby-CoThought
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-babyberta_french1_25m_masking_finetuned_qamr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-babyberta_french1_25m_masking_finetuned_qamr_pipeline_en.md
new file mode 100644
index 00000000000000..9b14520614209e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-babyberta_french1_25m_masking_finetuned_qamr_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_french1_25m_masking_finetuned_qamr_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_french1_25m_masking_finetuned_qamr_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_french1_25m_masking_finetuned_qamr_pipeline` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_french1_25m_masking_finetuned_qamr_pipeline_en_5.5.0_3.0_1726460599101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_french1_25m_masking_finetuned_qamr_pipeline_en_5.5.0_3.0_1726460599101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_french1_25m_masking_finetuned_qamr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_french1_25m_masking_finetuned_qamr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_french1_25m_masking_finetuned_qamr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|31.8 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-french1.25M-Masking-finetuned-qamr
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bae_roberta_base_mrpc_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-bae_roberta_base_mrpc_5_pipeline_en.md
new file mode 100644
index 00000000000000..4a756782dbb78b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bae_roberta_base_mrpc_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bae_roberta_base_mrpc_5_pipeline pipeline RoBertaForSequenceClassification from korca
+author: John Snow Labs
+name: bae_roberta_base_mrpc_5_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bae_roberta_base_mrpc_5_pipeline` is a English model originally trained by korca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bae_roberta_base_mrpc_5_pipeline_en_5.5.0_3.0_1726456428148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bae_roberta_base_mrpc_5_pipeline_en_5.5.0_3.0_1726456428148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bae_roberta_base_mrpc_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bae_roberta_base_mrpc_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bae_roberta_base_mrpc_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|445.1 MB|
+
+## References
+
+https://huggingface.co/korca/bae-roberta-base-mrpc-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_base_uncased_squadv2_en.md b/docs/_posts/ahmedlone127/2024-09-16-bert_base_uncased_squadv2_en.md
new file mode 100644
index 00000000000000..604bb56f34f3f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_base_uncased_squadv2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_squadv2 BertForQuestionAnswering from Pennywise881
+author: John Snow Labs
+name: bert_base_uncased_squadv2
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_squadv2` is a English model originally trained by Pennywise881.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_squadv2_en_5.5.0_3.0_1726511080685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_squadv2_en_5.5.0_3.0_1726511080685.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_squadv2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Pennywise881/bert-base-uncased-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_finetuned_ner_haluptzok_en.md b/docs/_posts/ahmedlone127/2024-09-16-bert_finetuned_ner_haluptzok_en.md
new file mode 100644
index 00000000000000..712be0bf4991ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_finetuned_ner_haluptzok_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_haluptzok BertForTokenClassification from haluptzok
+author: John Snow Labs
+name: bert_finetuned_ner_haluptzok
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_haluptzok` is a English model originally trained by haluptzok.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_haluptzok_en_5.5.0_3.0_1726461153441.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_haluptzok_en_5.5.0_3.0_1726461153441.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_haluptzok|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/haluptzok/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-boolq_paws_en1000_en.md b/docs/_posts/ahmedlone127/2024-09-16-boolq_paws_en1000_en.md
new file mode 100644
index 00000000000000..ce172da206bf70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-boolq_paws_en1000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English boolq_paws_en1000 RoBertaForSequenceClassification from yeyejmm
+author: John Snow Labs
+name: boolq_paws_en1000
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`boolq_paws_en1000` is a English model originally trained by yeyejmm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/boolq_paws_en1000_en_5.5.0_3.0_1726527808855.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/boolq_paws_en1000_en_5.5.0_3.0_1726527808855.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|boolq_paws_en1000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|460.1 MB|
+
+## References
+
+https://huggingface.co/yeyejmm/BoolQ-PAWS-en1000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_aanwar_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_aanwar_pipeline_en.md
new file mode 100644
index 00000000000000..58258b16ca1bec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_aanwar_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_aanwar_pipeline pipeline DistilBertForQuestionAnswering from aanwar
+author: John Snow Labs
+name: burmese_awesome_qa_model_aanwar_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_aanwar_pipeline` is a English model originally trained by aanwar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_aanwar_pipeline_en_5.5.0_3.0_1726515449379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_aanwar_pipeline_en_5.5.0_3.0_1726515449379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_aanwar_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_aanwar_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_aanwar_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/aanwar/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_bibibobo777_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_bibibobo777_pipeline_en.md
new file mode 100644
index 00000000000000..ddc075f4b47cc0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_bibibobo777_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_bibibobo777_pipeline pipeline DistilBertForQuestionAnswering from bibibobo777
+author: John Snow Labs
+name: burmese_awesome_qa_model_bibibobo777_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_bibibobo777_pipeline` is a English model originally trained by bibibobo777.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_bibibobo777_pipeline_en_5.5.0_3.0_1726469604881.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_bibibobo777_pipeline_en_5.5.0_3.0_1726469604881.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_bibibobo777_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_bibibobo777_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_bibibobo777_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bibibobo777/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_reyeb_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_reyeb_en.md
new file mode 100644
index 00000000000000..545df16af250db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_reyeb_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_reyeb DistilBertForQuestionAnswering from reyeb
+author: John Snow Labs
+name: burmese_awesome_qa_model_reyeb
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_reyeb` is a English model originally trained by reyeb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_reyeb_en_5.5.0_3.0_1726515099889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_reyeb_en_5.5.0_3.0_1726515099889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_reyeb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/reyeb/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_finetuned_financenews_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_finetuned_financenews_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..c4205171159b36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_finetuned_financenews_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_finetuned_financenews_distilbert_pipeline pipeline DistilBertForSequenceClassification from zijay
+author: John Snow Labs
+name: burmese_finetuned_financenews_distilbert_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_finetuned_financenews_distilbert_pipeline` is a English model originally trained by zijay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_finetuned_financenews_distilbert_pipeline_en_5.5.0_3.0_1726506866547.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_finetuned_financenews_distilbert_pipeline_en_5.5.0_3.0_1726506866547.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_finetuned_financenews_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_finetuned_financenews_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_finetuned_financenews_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/zijay/my-finetuned-FinanceNews-distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-classification_2_messing_around_en.md b/docs/_posts/ahmedlone127/2024-09-16-classification_2_messing_around_en.md
new file mode 100644
index 00000000000000..0adb01171d5c42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-classification_2_messing_around_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English classification_2_messing_around DistilBertForSequenceClassification from Pranavsenthilvel
+author: John Snow Labs
+name: classification_2_messing_around
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classification_2_messing_around` is a English model originally trained by Pranavsenthilvel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classification_2_messing_around_en_5.5.0_3.0_1726506800536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classification_2_messing_around_en_5.5.0_3.0_1726506800536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classification_2_messing_around|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Pranavsenthilvel/classification-2-messing-around
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-code_search_codebert_base_4_random_trimmed_with_g_and_spaces_en.md b/docs/_posts/ahmedlone127/2024-09-16-code_search_codebert_base_4_random_trimmed_with_g_and_spaces_en.md
new file mode 100644
index 00000000000000..c9062672fc710f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-code_search_codebert_base_4_random_trimmed_with_g_and_spaces_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English code_search_codebert_base_4_random_trimmed_with_g_and_spaces RoBertaForTokenClassification from DianaIulia
+author: John Snow Labs
+name: code_search_codebert_base_4_random_trimmed_with_g_and_spaces
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`code_search_codebert_base_4_random_trimmed_with_g_and_spaces` is a English model originally trained by DianaIulia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/code_search_codebert_base_4_random_trimmed_with_g_and_spaces_en_5.5.0_3.0_1726508968474.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/code_search_codebert_base_4_random_trimmed_with_g_and_spaces_en_5.5.0_3.0_1726508968474.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|code_search_codebert_base_4_random_trimmed_with_g_and_spaces|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DianaIulia/code_search_codebert_base_4_random_trimmed_with_g_and_spaces
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-consumerresponseclassifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-consumerresponseclassifier_pipeline_en.md
new file mode 100644
index 00000000000000..aca746daee9e67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-consumerresponseclassifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English consumerresponseclassifier_pipeline pipeline RoBertaForSequenceClassification from ahaanlimaye
+author: John Snow Labs
+name: consumerresponseclassifier_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`consumerresponseclassifier_pipeline` is a English model originally trained by ahaanlimaye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/consumerresponseclassifier_pipeline_en_5.5.0_3.0_1726504871544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/consumerresponseclassifier_pipeline_en_5.5.0_3.0_1726504871544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("consumerresponseclassifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("consumerresponseclassifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|consumerresponseclassifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|424.9 MB|
+
+## References
+
+https://huggingface.co/ahaanlimaye/ConsumerResponseClassifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-discriminative_detection_binary2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-discriminative_detection_binary2_pipeline_en.md
new file mode 100644
index 00000000000000..dcb90f038be0c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-discriminative_detection_binary2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English discriminative_detection_binary2_pipeline pipeline RoBertaForSequenceClassification from fatmhd1995
+author: John Snow Labs
+name: discriminative_detection_binary2_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`discriminative_detection_binary2_pipeline` is a English model originally trained by fatmhd1995.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/discriminative_detection_binary2_pipeline_en_5.5.0_3.0_1726471559206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/discriminative_detection_binary2_pipeline_en_5.5.0_3.0_1726471559206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("discriminative_detection_binary2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("discriminative_detection_binary2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|discriminative_detection_binary2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|460.2 MB|
+
+## References
+
+https://huggingface.co/fatmhd1995/discriminative-detection-binary2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distibert_finetuned_arxiv_multi_label_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distibert_finetuned_arxiv_multi_label_pipeline_en.md
new file mode 100644
index 00000000000000..cf98189691223d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distibert_finetuned_arxiv_multi_label_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distibert_finetuned_arxiv_multi_label_pipeline pipeline DistilBertForSequenceClassification from Hatoun
+author: John Snow Labs
+name: distibert_finetuned_arxiv_multi_label_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distibert_finetuned_arxiv_multi_label_pipeline` is a English model originally trained by Hatoun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distibert_finetuned_arxiv_multi_label_pipeline_en_5.5.0_3.0_1726506901196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distibert_finetuned_arxiv_multi_label_pipeline_en_5.5.0_3.0_1726506901196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distibert_finetuned_arxiv_multi_label_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distibert_finetuned_arxiv_multi_label_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distibert_finetuned_arxiv_multi_label_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/Hatoun/DistiBERT-finetuned-arxiv-multi-label
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distil_bert_ft_qa_model_7up_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distil_bert_ft_qa_model_7up_pipeline_en.md
new file mode 100644
index 00000000000000..36ac42a3e66c78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distil_bert_ft_qa_model_7up_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distil_bert_ft_qa_model_7up_pipeline pipeline DistilBertForQuestionAnswering from cadzchua
+author: John Snow Labs
+name: distil_bert_ft_qa_model_7up_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_bert_ft_qa_model_7up_pipeline` is a English model originally trained by cadzchua.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_bert_ft_qa_model_7up_pipeline_en_5.5.0_3.0_1726515468646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_bert_ft_qa_model_7up_pipeline_en_5.5.0_3.0_1726515468646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distil_bert_ft_qa_model_7up_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distil_bert_ft_qa_model_7up_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_bert_ft_qa_model_7up_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/cadzchua/distil-bert-ft-qa-model-7up
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_cardosoccc_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_cardosoccc_en.md
new file mode 100644
index 00000000000000..5eeaa6ac3b88c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_cardosoccc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cardosoccc DistilBertForSequenceClassification from cardosoccc
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cardosoccc
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cardosoccc` is a English model originally trained by cardosoccc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cardosoccc_en_5.5.0_3.0_1726525473370.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cardosoccc_en_5.5.0_3.0_1726525473370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cardosoccc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cardosoccc/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_danielrsn_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_danielrsn_en.md
new file mode 100644
index 00000000000000..c52f59cbc7748d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_danielrsn_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_danielrsn DistilBertForSequenceClassification from danielrsn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_danielrsn
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_danielrsn` is a English model originally trained by danielrsn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_danielrsn_en_5.5.0_3.0_1726506922604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_danielrsn_en_5.5.0_3.0_1726506922604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_danielrsn|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/danielrsn/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_wickelman_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_wickelman_en.md
new file mode 100644
index 00000000000000..4c420206a02236
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_wickelman_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_wickelman DistilBertForSequenceClassification from Wickelman
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_wickelman
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_wickelman` is a English model originally trained by Wickelman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wickelman_en_5.5.0_3.0_1726506181169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wickelman_en_5.5.0_3.0_1726506181169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_wickelman|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Wickelman/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_hunniee_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_hunniee_pipeline_en.md
new file mode 100644
index 00000000000000..c61e775a6aaa48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_hunniee_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_hunniee_pipeline pipeline DistilBertForQuestionAnswering from hunniee
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_hunniee_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_hunniee_pipeline` is a English model originally trained by hunniee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_hunniee_pipeline_en_5.5.0_3.0_1726515329750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_hunniee_pipeline_en_5.5.0_3.0_1726515329750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_hunniee_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_hunniee_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_hunniee_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/hunniee/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_hyounguk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_hyounguk_pipeline_en.md
new file mode 100644
index 00000000000000..b9c53a9ee6e2f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_hyounguk_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_hyounguk_pipeline pipeline DistilBertForQuestionAnswering from Hyounguk
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_hyounguk_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_hyounguk_pipeline` is a English model originally trained by Hyounguk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_hyounguk_pipeline_en_5.5.0_3.0_1726469799964.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_hyounguk_pipeline_en_5.5.0_3.0_1726469799964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_hyounguk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_hyounguk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_hyounguk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Hyounguk/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_kubba_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_kubba_en.md
new file mode 100644
index 00000000000000..9b474a12773a13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_kubba_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_kubba DistilBertForQuestionAnswering from Kubba
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_kubba
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_kubba` is a English model originally trained by Kubba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_kubba_en_5.5.0_3.0_1726515625747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_kubba_en_5.5.0_3.0_1726515625747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_kubba|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Kubba/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_maguitai_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_maguitai_pipeline_en.md
new file mode 100644
index 00000000000000..2c569bae38212b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_maguitai_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_maguitai_pipeline pipeline DistilBertForQuestionAnswering from maguitai
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_maguitai_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_maguitai_pipeline` is a English model originally trained by maguitai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_maguitai_pipeline_en_5.5.0_3.0_1726515235241.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_maguitai_pipeline_en_5.5.0_3.0_1726515235241.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_maguitai_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_maguitai_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_maguitai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/maguitai/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_markr23_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_markr23_en.md
new file mode 100644
index 00000000000000..cca39ef9e63619
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_markr23_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_markr23 DistilBertForQuestionAnswering from markr23
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_markr23
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_markr23` is a English model originally trained by markr23.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_markr23_en_5.5.0_3.0_1726469674752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_markr23_en_5.5.0_3.0_1726469674752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_markr23|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/markr23/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_sm750s_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_sm750s_pipeline_en.md
new file mode 100644
index 00000000000000..658748d8625826
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_sm750s_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_sm750s_pipeline pipeline DistilBertForQuestionAnswering from sm750s
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_sm750s_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_sm750s_pipeline` is a English model originally trained by sm750s.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_sm750s_pipeline_en_5.5.0_3.0_1726469255102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_sm750s_pipeline_en_5.5.0_3.0_1726469255102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_sm750s_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_sm750s_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_sm750s_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/sm750s/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_subj_obj_1_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_subj_obj_1_0_pipeline_en.md
new file mode 100644
index 00000000000000..323dcf330f7f45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_subj_obj_1_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_subj_obj_1_0_pipeline pipeline DistilBertForSequenceClassification from sheshuan
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_subj_obj_1_0_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_subj_obj_1_0_pipeline` is a English model originally trained by sheshuan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_subj_obj_1_0_pipeline_en_5.5.0_3.0_1726525596706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_subj_obj_1_0_pipeline_en_5.5.0_3.0_1726525596706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_subj_obj_1_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_subj_obj_1_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_subj_obj_1_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sheshuan/distilbert-base-uncased-finetuned-subj_obj_1.0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squad2_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squad2_en.md
new file mode 100644
index 00000000000000..947adb7c9000ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squad2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_finetuned_squad2 DistilBertForQuestionAnswering from NMCxyz
+author: John Snow Labs
+name: distilbert_finetuned_squad2
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_squad2` is a English model originally trained by NMCxyz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squad2_en_5.5.0_3.0_1726515140061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squad2_en_5.5.0_3.0_1726515140061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_squad2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/NMCxyz/distilbert-finetuned-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squadv2_nctuananh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squadv2_nctuananh_pipeline_en.md
new file mode 100644
index 00000000000000..2df48035ce43f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squadv2_nctuananh_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_finetuned_squadv2_nctuananh_pipeline pipeline DistilBertForQuestionAnswering from NCTuanAnh
+author: John Snow Labs
+name: distilbert_finetuned_squadv2_nctuananh_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_squadv2_nctuananh_pipeline` is a English model originally trained by NCTuanAnh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_nctuananh_pipeline_en_5.5.0_3.0_1726515611350.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_nctuananh_pipeline_en_5.5.0_3.0_1726515611350.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_squadv2_nctuananh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_squadv2_nctuananh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_squadv2_nctuananh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/NCTuanAnh/distilbert-finetuned-squadv2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_pipeline_en.md
new file mode 100644
index 00000000000000..e1b64f9a15bf9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_pipeline_en_5.5.0_3.0_1726525726664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_pipeline_en_5.5.0_3.0_1726525726664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|52.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_qnli_192
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_turkish_turkish_movie_reviews_tr.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_turkish_turkish_movie_reviews_tr.md
new file mode 100644
index 00000000000000..bcd864bc033518
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_turkish_turkish_movie_reviews_tr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Turkish distilbert_turkish_turkish_movie_reviews DistilBertForSequenceClassification from anilguven
+author: John Snow Labs
+name: distilbert_turkish_turkish_movie_reviews
+date: 2024-09-16
+tags: [tr, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_turkish_turkish_movie_reviews` is a Turkish model originally trained by anilguven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_turkish_turkish_movie_reviews_tr_5.5.0_3.0_1726525467792.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_turkish_turkish_movie_reviews_tr_5.5.0_3.0_1726525467792.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_turkish_turkish_movie_reviews|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|254.1 MB|
+
+## References
+
+https://huggingface.co/anilguven/distilbert_tr_turkish_movie_reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-doctorintentmainclassifier_en.md b/docs/_posts/ahmedlone127/2024-09-16-doctorintentmainclassifier_en.md
new file mode 100644
index 00000000000000..f290811f3e2290
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-doctorintentmainclassifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English doctorintentmainclassifier RoBertaForSequenceClassification from Mikelium5
+author: John Snow Labs
+name: doctorintentmainclassifier
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`doctorintentmainclassifier` is a English model originally trained by Mikelium5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/doctorintentmainclassifier_en_5.5.0_3.0_1726518140880.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/doctorintentmainclassifier_en_5.5.0_3.0_1726518140880.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|doctorintentmainclassifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|416.7 MB|
+
+## References
+
+https://huggingface.co/Mikelium5/DoctorIntentMainClassifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_en.md b/docs/_posts/ahmedlone127/2024-09-16-emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_en.md
new file mode 100644
index 00000000000000..4b1079dcdd51cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_en_5.5.0_3.0_1726470556357.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_en_5.5.0_3.0_1726470556357.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.6 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/emoji-emoji_random1_seed2-twitter-roberta-base-2021-124m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-emotion_classification_a2ran_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-emotion_classification_a2ran_pipeline_en.md
new file mode 100644
index 00000000000000..54ac9213af8e2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-emotion_classification_a2ran_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English emotion_classification_a2ran_pipeline pipeline DistilBertForSequenceClassification from a2ran
+author: John Snow Labs
+name: emotion_classification_a2ran_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_classification_a2ran_pipeline` is a English model originally trained by a2ran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_classification_a2ran_pipeline_en_5.5.0_3.0_1726525268680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_classification_a2ran_pipeline_en_5.5.0_3.0_1726525268680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("emotion_classification_a2ran_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("emotion_classification_a2ran_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_classification_a2ran_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/a2ran/emotion_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-enlm_roberta_conll2003_final_en.md b/docs/_posts/ahmedlone127/2024-09-16-enlm_roberta_conll2003_final_en.md
new file mode 100644
index 00000000000000..347b88b605f1fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-enlm_roberta_conll2003_final_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English enlm_roberta_conll2003_final XlmRoBertaForTokenClassification from manirai91
+author: John Snow Labs
+name: enlm_roberta_conll2003_final
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`enlm_roberta_conll2003_final` is a English model originally trained by manirai91.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/enlm_roberta_conll2003_final_en_5.5.0_3.0_1726495965715.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/enlm_roberta_conll2003_final_en_5.5.0_3.0_1726495965715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|enlm_roberta_conll2003_final|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|464.4 MB|
+
+## References
+
+https://huggingface.co/manirai91/enlm-roberta-conll2003-final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-exp_number0_en.md b/docs/_posts/ahmedlone127/2024-09-16-exp_number0_en.md
new file mode 100644
index 00000000000000..c25800760a09bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-exp_number0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English exp_number0 DistilBertForSequenceClassification from classicakeza5
+author: John Snow Labs
+name: exp_number0
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`exp_number0` is a English model originally trained by classicakeza5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/exp_number0_en_5.5.0_3.0_1726525895864.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/exp_number0_en_5.5.0_3.0_1726525895864.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|exp_number0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/classicakeza5/exp_number0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-exp_number0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-exp_number0_pipeline_en.md
new file mode 100644
index 00000000000000..57757fd7ecbab4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-exp_number0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English exp_number0_pipeline pipeline DistilBertForSequenceClassification from classicakeza5
+author: John Snow Labs
+name: exp_number0_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`exp_number0_pipeline` is a English model originally trained by classicakeza5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/exp_number0_pipeline_en_5.5.0_3.0_1726525907804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/exp_number0_pipeline_en_5.5.0_3.0_1726525907804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("exp_number0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("exp_number0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|exp_number0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/classicakeza5/exp_number0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-fake_news_classifier_emmawang_en.md b/docs/_posts/ahmedlone127/2024-09-16-fake_news_classifier_emmawang_en.md
new file mode 100644
index 00000000000000..89e187d47f702d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-fake_news_classifier_emmawang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fake_news_classifier_emmawang DistilBertForSequenceClassification from Emmawang
+author: John Snow Labs
+name: fake_news_classifier_emmawang
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_classifier_emmawang` is a English model originally trained by Emmawang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_classifier_emmawang_en_5.5.0_3.0_1726506930265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_classifier_emmawang_en_5.5.0_3.0_1726506930265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_classifier_emmawang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Emmawang/fake_news_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-fine_tune_whisper_small_inayat_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-fine_tune_whisper_small_inayat_pipeline_en.md
new file mode 100644
index 00000000000000..e464f514e3e14c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-fine_tune_whisper_small_inayat_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fine_tune_whisper_small_inayat_pipeline pipeline WhisperForCTC from Inayat
+author: John Snow Labs
+name: fine_tune_whisper_small_inayat_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_whisper_small_inayat_pipeline` is a English model originally trained by Inayat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_whisper_small_inayat_pipeline_en_5.5.0_3.0_1726477363611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_whisper_small_inayat_pipeline_en_5.5.0_3.0_1726477363611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tune_whisper_small_inayat_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tune_whisper_small_inayat_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_whisper_small_inayat_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Inayat/Fine_tune_whisper_small
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_helsinki_model_en.md b/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_helsinki_model_en.md
new file mode 100644
index 00000000000000..f9dd496689cbe3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_helsinki_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuned_helsinki_model MarianTransformer from EricPeter
+author: John Snow Labs
+name: fine_tuned_helsinki_model
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_helsinki_model` is a English model originally trained by EricPeter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_helsinki_model_en_5.5.0_3.0_1726491207322.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_helsinki_model_en_5.5.0_3.0_1726491207322.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_helsinki_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|529.9 MB|
+
+## References
+
+https://huggingface.co/EricPeter/fine_tuned_helsinki_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-finetune_t5_base_without_optimization_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-finetune_t5_base_without_optimization_pipeline_en.md
new file mode 100644
index 00000000000000..43890218b3181c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-finetune_t5_base_without_optimization_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English finetune_t5_base_without_optimization_pipeline pipeline T5Transformer from yasmineee
+author: John Snow Labs
+name: finetune_t5_base_without_optimization_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: [Question Answering, Summarization, Translation, Text Generation]
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetune_t5_base_without_optimization_pipeline` is a English model originally trained by yasmineee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetune_t5_base_without_optimization_pipeline_en_5.5.0_3.0_1726521359665.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetune_t5_base_without_optimization_pipeline_en_5.5.0_3.0_1726521359665.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetune_t5_base_without_optimization_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetune_t5_base_without_optimization_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetune_t5_base_without_optimization_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.4 GB|
+
+## References
+
+https://huggingface.co/yasmineee/finetune-t5-base-without-optimization
+
+## Included Models
+
+- DocumentAssembler
+- T5Transformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-further_base_v4_0__checkpoint_last_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-further_base_v4_0__checkpoint_last_pipeline_en.md
new file mode 100644
index 00000000000000..12c5e32ae74a3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-further_base_v4_0__checkpoint_last_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English further_base_v4_0__checkpoint_last_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: further_base_v4_0__checkpoint_last_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`further_base_v4_0__checkpoint_last_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/further_base_v4_0__checkpoint_last_pipeline_en_5.5.0_3.0_1726513688044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/further_base_v4_0__checkpoint_last_pipeline_en_5.5.0_3.0_1726513688044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("further_base_v4_0__checkpoint_last_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("further_base_v4_0__checkpoint_last_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|further_base_v4_0__checkpoint_last_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|296.3 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/further_base_v4_0__checkpoint_last
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-gal_ner_iwcg_6_en.md b/docs/_posts/ahmedlone127/2024-09-16-gal_ner_iwcg_6_en.md
new file mode 100644
index 00000000000000..370f95ca4ef42f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-gal_ner_iwcg_6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English gal_ner_iwcg_6 XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: gal_ner_iwcg_6
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gal_ner_iwcg_6` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gal_ner_iwcg_6_en_5.5.0_3.0_1726497291676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gal_ner_iwcg_6_en_5.5.0_3.0_1726497291676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gtts_updated|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/SamagraDataGov/gtts-updated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-helsinki_danish_swedish_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-helsinki_danish_swedish_v3_pipeline_en.md
new file mode 100644
index 00000000000000..4a90147fb33db0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-helsinki_danish_swedish_v3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English helsinki_danish_swedish_v3_pipeline pipeline MarianTransformer from Danieljacobsen
+author: John Snow Labs
+name: helsinki_danish_swedish_v3_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`helsinki_danish_swedish_v3_pipeline` is a English model originally trained by Danieljacobsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helsinki_danish_swedish_v3_pipeline_en_5.5.0_3.0_1726458207758.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helsinki_danish_swedish_v3_pipeline_en_5.5.0_3.0_1726458207758.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("helsinki_danish_swedish_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("helsinki_danish_swedish_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helsinki_danish_swedish_v3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|498.3 MB|
+
+## References
+
+https://huggingface.co/Danieljacobsen/Helsinki-DA-SV-v3
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-iit_token_en.md b/docs/_posts/ahmedlone127/2024-09-16-iit_token_en.md
new file mode 100644
index 00000000000000..fa8c128c0fe9e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-iit_token_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English iit_token DistilBertForQuestionAnswering from teju-1210
+author: John Snow Labs
+name: iit_token
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iit_token` is a English model originally trained by teju-1210.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iit_token_en_5.5.0_3.0_1726515086588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iit_token_en_5.5.0_3.0_1726515086588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|iwslt17_marian_small_ctx2_cwd0_english_french|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.3 MB|
+
+## References
+
+https://huggingface.co/context-mt/iwslt17-marian-small-ctx2-cwd0-en-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-kinyaroberta_large_kinte_finetuned_kinyarwanda_sent1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-kinyaroberta_large_kinte_finetuned_kinyarwanda_sent1_pipeline_en.md
new file mode 100644
index 00000000000000..f6d0b50c1ee163
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-kinyaroberta_large_kinte_finetuned_kinyarwanda_sent1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English kinyaroberta_large_kinte_finetuned_kinyarwanda_sent1_pipeline pipeline RoBertaForSequenceClassification from RogerB
+author: John Snow Labs
+name: kinyaroberta_large_kinte_finetuned_kinyarwanda_sent1_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kinyaroberta_large_kinte_finetuned_kinyarwanda_sent1_pipeline` is a English model originally trained by RogerB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kinyaroberta_large_kinte_finetuned_kinyarwanda_sent1_pipeline_en_5.5.0_3.0_1726505390726.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kinyaroberta_large_kinte_finetuned_kinyarwanda_sent1_pipeline_en_5.5.0_3.0_1726505390726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("kinyaroberta_large_kinte_finetuned_kinyarwanda_sent1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("kinyaroberta_large_kinte_finetuned_kinyarwanda_sent1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kinyaroberta_large_kinte_finetuned_kinyarwanda_sent1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/RogerB/kinyaRoberta-large-kinte-finetuned-kin-sent1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-lab1_finetuning_robinysh_en.md b/docs/_posts/ahmedlone127/2024-09-16-lab1_finetuning_robinysh_en.md
new file mode 100644
index 00000000000000..24e647510c02bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-lab1_finetuning_robinysh_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lab1_finetuning_robinysh MarianTransformer from robinysh
+author: John Snow Labs
+name: lab1_finetuning_robinysh
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab1_finetuning_robinysh` is a English model originally trained by robinysh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_finetuning_robinysh_en_5.5.0_3.0_1726491704988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_finetuning_robinysh_en_5.5.0_3.0_1726491704988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_finetuning_robinysh|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.2 MB|
+
+## References
+
+https://huggingface.co/robinysh/lab1_finetuning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-lab1_random_haochenhe_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-lab1_random_haochenhe_pipeline_en.md
new file mode 100644
index 00000000000000..30e4cd0856dd79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-lab1_random_haochenhe_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lab1_random_haochenhe_pipeline pipeline MarianTransformer from haochenhe
+author: John Snow Labs
+name: lab1_random_haochenhe_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab1_random_haochenhe_pipeline` is a English model originally trained by haochenhe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_random_haochenhe_pipeline_en_5.5.0_3.0_1726465947821.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_random_haochenhe_pipeline_en_5.5.0_3.0_1726465947821.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lab1_random_haochenhe_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lab1_random_haochenhe_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_random_haochenhe_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.8 MB|
+
+## References
+
+https://huggingface.co/haochenhe/lab1_random
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-log_sage_reward_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-log_sage_reward_model_pipeline_en.md
new file mode 100644
index 00000000000000..0581b056ca9ba8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-log_sage_reward_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English log_sage_reward_model_pipeline pipeline DistilBertForSequenceClassification from IrwinD
+author: John Snow Labs
+name: log_sage_reward_model_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`log_sage_reward_model_pipeline` is a English model originally trained by IrwinD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/log_sage_reward_model_pipeline_en_5.5.0_3.0_1726525308479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/log_sage_reward_model_pipeline_en_5.5.0_3.0_1726525308479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("log_sage_reward_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("log_sage_reward_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|log_sage_reward_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/IrwinD/log_sage_reward_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_2gpu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_2gpu_pipeline_en.md
new file mode 100644
index 00000000000000..e15f34d7642554
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_2gpu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_2gpu_pipeline pipeline MarianTransformer from eleldar
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_2gpu_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_2gpu_pipeline` is a English model originally trained by eleldar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_2gpu_pipeline_en_5.5.0_3.0_1726510010191.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_2gpu_pipeline_en_5.5.0_3.0_1726510010191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_2gpu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_2gpu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_2gpu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/eleldar/marian-finetuned-kde4-en-to-fr-accelerate-2gpu
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_laura0000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_laura0000_pipeline_en.md
new file mode 100644
index 00000000000000..cd948a541177fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_laura0000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_laura0000_pipeline pipeline MarianTransformer from laura0000
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_laura0000_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_laura0000_pipeline` is a English model originally trained by laura0000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_laura0000_pipeline_en_5.5.0_3.0_1726458214141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_laura0000_pipeline_en_5.5.0_3.0_1726458214141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_laura0000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_laura0000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_laura0000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/laura0000/marian-finetuned-kde4-en-to-fr-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_pipeline_en.md
new file mode 100644
index 00000000000000..212a64be20eedd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_pipeline pipeline MarianTransformer from vasaicrow
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_pipeline` is a English model originally trained by vasaicrow.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_pipeline_en_5.5.0_3.0_1726456976896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_pipeline_en_5.5.0_3.0_1726456976896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.3 MB|
+
+## References
+
+https://huggingface.co/vasaicrow/marian-finetuned-kde4-en-to-fr-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_erfangc_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_erfangc_en.md
new file mode 100644
index 00000000000000..2d826191739732
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_erfangc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_erfangc MarianTransformer from erfangc
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_erfangc
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_erfangc` is a English model originally trained by erfangc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_erfangc_en_5.5.0_3.0_1726491686647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_erfangc_en_5.5.0_3.0_1726491686647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_erfangc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.1 MB|
+
+## References
+
+https://huggingface.co/erfangc/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_willherbert27_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_willherbert27_pipeline_en.md
new file mode 100644
index 00000000000000..8e83530bc8cf36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_willherbert27_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_willherbert27_pipeline pipeline MarianTransformer from willherbert27
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_willherbert27_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_willherbert27_pipeline` is a English model originally trained by willherbert27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_willherbert27_pipeline_en_5.5.0_3.0_1726509813384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_willherbert27_pipeline_en_5.5.0_3.0_1726509813384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_willherbert27_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_willherbert27_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_willherbert27_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/willherbert27/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_romanian_accelerate_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_romanian_accelerate_pipeline_en.md
new file mode 100644
index 00000000000000..36272e23bcc658
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_romanian_accelerate_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_romanian_accelerate_pipeline pipeline MarianTransformer from ecat3rina
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_romanian_accelerate_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_romanian_accelerate_pipeline` is a English model originally trained by ecat3rina.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_romanian_accelerate_pipeline_en_5.5.0_3.0_1726491036307.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_romanian_accelerate_pipeline_en_5.5.0_3.0_1726491036307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_romanian_accelerate_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_romanian_accelerate_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_romanian_accelerate_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.8 MB|
+
+## References
+
+https://huggingface.co/ecat3rina/marian-finetuned-kde4-en-to-ro-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-mentalroberta_4label_notes_en.md b/docs/_posts/ahmedlone127/2024-09-16-mentalroberta_4label_notes_en.md
new file mode 100644
index 00000000000000..da533fb8915891
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-mentalroberta_4label_notes_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mentalroberta_4label_notes RoBertaForSequenceClassification from AliaeAI
+author: John Snow Labs
+name: mentalroberta_4label_notes
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mentalroberta_4label_notes` is a English model originally trained by AliaeAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mentalroberta_4label_notes_en_5.5.0_3.0_1726504862902.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mentalroberta_4label_notes_en_5.5.0_3.0_1726504862902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mentalroberta_4label_notes|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/AliaeAI/MentalRoBERTa_4label_notes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-model_router_en.md b/docs/_posts/ahmedlone127/2024-09-16-model_router_en.md
new file mode 100644
index 00000000000000..ab6b6deebca594
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-model_router_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_router DistilBertForSequenceClassification from marklicata
+author: John Snow Labs
+name: model_router
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_router` is a English model originally trained by marklicata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_router_en_5.5.0_3.0_1726506504525.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_router_en_5.5.0_3.0_1726506504525.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_router|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/marklicata/model_router
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_base_wce_random_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_base_wce_random_pipeline_en.md
new file mode 100644
index 00000000000000..43c46b41736e4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_base_wce_random_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_base_wce_random_pipeline pipeline MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_base_wce_random_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_base_wce_random_pipeline` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_base_wce_random_pipeline_en_5.5.0_3.0_1726503060650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_base_wce_random_pipeline_en_5.5.0_3.0_1726503060650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_base_wce_random_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_base_wce_random_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_base_wce_random_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.0 MB|
+
+## References
+
+https://huggingface.co/ethansimrm/opus_base_wce_random
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_en.md
new file mode 100644
index 00000000000000..b5f3f2d54d2dda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest MarianTransformer from DevAibest
+author: John Snow Labs
+name: opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest` is a English model originally trained by DevAibest.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_en_5.5.0_3.0_1726503434711.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_en_5.5.0_3.0_1726503434711.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.4 MB|
+
+## References
+
+https://huggingface.co/DevAibest/opus-mt-en-fr-finetuned-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm_en.md
new file mode 100644
index 00000000000000..f22d7d49a62756
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm MarianTransformer from Eyesiga
+author: John Snow Labs
+name: opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm` is a English model originally trained by Eyesiga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm_en_5.5.0_3.0_1726457550952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm_en_5.5.0_3.0_1726457550952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|514.4 MB|
+
+## References
+
+https://huggingface.co/Eyesiga/opus-mt-en-lg-finetuned-en-to-lg-finetuned-en-to-lm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_german_icelandic_finetuned_german_tonga_tonga_islands_icelandic_nr2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_german_icelandic_finetuned_german_tonga_tonga_islands_icelandic_nr2_pipeline_en.md
new file mode 100644
index 00000000000000..5b930d680a64a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_german_icelandic_finetuned_german_tonga_tonga_islands_icelandic_nr2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_german_icelandic_finetuned_german_tonga_tonga_islands_icelandic_nr2_pipeline pipeline MarianTransformer from Culmenus
+author: John Snow Labs
+name: opus_maltese_german_icelandic_finetuned_german_tonga_tonga_islands_icelandic_nr2_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_german_icelandic_finetuned_german_tonga_tonga_islands_icelandic_nr2_pipeline` is a English model originally trained by Culmenus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_german_icelandic_finetuned_german_tonga_tonga_islands_icelandic_nr2_pipeline_en_5.5.0_3.0_1726465782743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_german_icelandic_finetuned_german_tonga_tonga_islands_icelandic_nr2_pipeline_en_5.5.0_3.0_1726465782743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_german_icelandic_finetuned_german_tonga_tonga_islands_icelandic_nr2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_german_icelandic_finetuned_german_tonga_tonga_islands_icelandic_nr2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_german_icelandic_finetuned_german_tonga_tonga_islands_icelandic_nr2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/Culmenus/opus-mt-de-is-finetuned-de-to-is_nr2
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_en.md
new file mode 100644
index 00000000000000..5dd3264d387735
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs MarianTransformer from UnassumingOwl
+author: John Snow Labs
+name: opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs` is a English model originally trained by UnassumingOwl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_en_5.5.0_3.0_1726491181668.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_en_5.5.0_3.0_1726491181668.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|518.6 MB|
+
+## References
+
+https://huggingface.co/UnassumingOwl/opus-mt-sem-en-finetuned-npomo-en-15-epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_pipeline_en.md
new file mode 100644
index 00000000000000..19d64db161a400
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_pipeline pipeline MarianTransformer from DevAibest
+author: John Snow Labs
+name: opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_pipeline` is a English model originally trained by DevAibest.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_pipeline_en_5.5.0_3.0_1726494139744.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_pipeline_en_5.5.0_3.0_1726494139744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/DevAibest/opus-mt-tc-big-finetuned-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_turkic_languages_english_finetuned_npomo_english_10_epochs_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_turkic_languages_english_finetuned_npomo_english_10_epochs_en.md
new file mode 100644
index 00000000000000..381e71c6c4065a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_turkic_languages_english_finetuned_npomo_english_10_epochs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_turkic_languages_english_finetuned_npomo_english_10_epochs MarianTransformer from UnassumingOwl
+author: John Snow Labs
+name: opus_maltese_turkic_languages_english_finetuned_npomo_english_10_epochs
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_turkic_languages_english_finetuned_npomo_english_10_epochs` is a English model originally trained by UnassumingOwl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_turkic_languages_english_finetuned_npomo_english_10_epochs_en_5.5.0_3.0_1726456917479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_turkic_languages_english_finetuned_npomo_english_10_epochs_en_5.5.0_3.0_1726456917479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_turkic_languages_english_finetuned_npomo_english_10_epochs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|518.9 MB|
+
+## References
+
+https://huggingface.co/UnassumingOwl/opus-mt-trk-en-finetuned-npomo-en-10-epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-othe_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-othe_2_pipeline_en.md
new file mode 100644
index 00000000000000..dfb2d80090707a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-othe_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English othe_2_pipeline pipeline RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: othe_2_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`othe_2_pipeline` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/othe_2_pipeline_en_5.5.0_3.0_1726518924455.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/othe_2_pipeline_en_5.5.0_3.0_1726518924455.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("othe_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("othe_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|othe_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/BaronSch/Othe_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-platzi_distilroberta_base_mrpc_glue_rafa_rivera_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-platzi_distilroberta_base_mrpc_glue_rafa_rivera_pipeline_en.md
new file mode 100644
index 00000000000000..79226adba40990
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-platzi_distilroberta_base_mrpc_glue_rafa_rivera_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_glue_rafa_rivera_pipeline pipeline RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_glue_rafa_rivera_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_mrpc_glue_rafa_rivera_pipeline` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_rafa_rivera_pipeline_en_5.5.0_3.0_1726518921630.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_rafa_rivera_pipeline_en_5.5.0_3.0_1726518921630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("platzi_distilroberta_base_mrpc_glue_rafa_rivera_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("platzi_distilroberta_base_mrpc_glue_rafa_rivera_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_glue_rafa_rivera_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/platzi/platzi-distilroberta-base-mrpc-glue-rafa-rivera
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-qnli_distilled_bart_cross_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-qnli_distilled_bart_cross_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..ca5dcc40ef658e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-qnli_distilled_bart_cross_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English qnli_distilled_bart_cross_roberta_pipeline pipeline RoBertaForSequenceClassification from Sayan01
+author: John Snow Labs
+name: qnli_distilled_bart_cross_roberta_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qnli_distilled_bart_cross_roberta_pipeline` is a English model originally trained by Sayan01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qnli_distilled_bart_cross_roberta_pipeline_en_5.5.0_3.0_1726455704703.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qnli_distilled_bart_cross_roberta_pipeline_en_5.5.0_3.0_1726455704703.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qnli_distilled_bart_cross_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qnli_distilled_bart_cross_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qnli_distilled_bart_cross_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.1 MB|
+
+## References
+
+https://huggingface.co/Sayan01/qnli-distilled-bart-cross-roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-quantifying_stereotype_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-16-quantifying_stereotype_distilbert_en.md
new file mode 100644
index 00000000000000..98ff3fdba0fe9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-quantifying_stereotype_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English quantifying_stereotype_distilbert DistilBertForSequenceClassification from lauyon
+author: John Snow Labs
+name: quantifying_stereotype_distilbert
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quantifying_stereotype_distilbert` is a English model originally trained by lauyon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quantifying_stereotype_distilbert_en_5.5.0_3.0_1726525725842.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quantifying_stereotype_distilbert_en_5.5.0_3.0_1726525725842.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quantifying_stereotype_distilbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/lauyon/quantifying-stereotype-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-results_metrics_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-results_metrics_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..a374f8ceed1ca2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-results_metrics_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English results_metrics_distilbert_pipeline pipeline DistilBertForSequenceClassification from vaishnavi514
+author: John Snow Labs
+name: results_metrics_distilbert_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_metrics_distilbert_pipeline` is a English model originally trained by vaishnavi514.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_metrics_distilbert_pipeline_en_5.5.0_3.0_1726525319621.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_metrics_distilbert_pipeline_en_5.5.0_3.0_1726525319621.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("results_metrics_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("results_metrics_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_metrics_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vaishnavi514/results_metrics_distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_augmented_finetuned_atis_1pct_v2_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_augmented_finetuned_atis_1pct_v2_en.md
new file mode 100644
index 00000000000000..4dfab79782aa3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_augmented_finetuned_atis_1pct_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_augmented_finetuned_atis_1pct_v2 RoBertaForSequenceClassification from benayas
+author: John Snow Labs
+name: roberta_augmented_finetuned_atis_1pct_v2
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_augmented_finetuned_atis_1pct_v2` is a English model originally trained by benayas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_augmented_finetuned_atis_1pct_v2_en_5.5.0_3.0_1726470737739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_augmented_finetuned_atis_1pct_v2_en_5.5.0_3.0_1726470737739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_augmented_finetuned_atis_1pct_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|426.4 MB|
+
+## References
+
+https://huggingface.co/benayas/roberta-augmented-finetuned-atis_1pct_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_fold_1_binary_v1_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_fold_1_binary_v1_en.md
new file mode 100644
index 00000000000000..76dd51a4f87af7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_fold_1_binary_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_fold_1_binary_v1 RoBertaForSequenceClassification from elopezlopez
+author: John Snow Labs
+name: roberta_base_fold_1_binary_v1
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_fold_1_binary_v1` is a English model originally trained by elopezlopez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_fold_1_binary_v1_en_5.5.0_3.0_1726455398104.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_fold_1_binary_v1_en_5.5.0_3.0_1726455398104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_fold_1_binary_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|435.1 MB|
+
+## References
+
+https://huggingface.co/elopezlopez/roberta-base_fold_1_binary_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_hoax_classifier_fulltext_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_hoax_classifier_fulltext_v1_pipeline_en.md
new file mode 100644
index 00000000000000..da7f6bbd16b4ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_hoax_classifier_fulltext_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_hoax_classifier_fulltext_v1_pipeline pipeline RoBertaForSequenceClassification from research-dump
+author: John Snow Labs
+name: roberta_base_hoax_classifier_fulltext_v1_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_hoax_classifier_fulltext_v1_pipeline` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_hoax_classifier_fulltext_v1_pipeline_en_5.5.0_3.0_1726470349131.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_hoax_classifier_fulltext_v1_pipeline_en_5.5.0_3.0_1726470349131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_hoax_classifier_fulltext_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_hoax_classifier_fulltext_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_hoax_classifier_fulltext_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|435.2 MB|
+
+## References
+
+https://huggingface.co/research-dump/roberta-base_hoax_classifier_fulltext_v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_deletion_multiclass_complete_final_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_deletion_multiclass_complete_final_v2_pipeline_en.md
new file mode 100644
index 00000000000000..a2555704f006b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_deletion_multiclass_complete_final_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_deletion_multiclass_complete_final_v2_pipeline pipeline RoBertaForSequenceClassification from research-dump
+author: John Snow Labs
+name: roberta_large_deletion_multiclass_complete_final_v2_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_deletion_multiclass_complete_final_v2_pipeline` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_deletion_multiclass_complete_final_v2_pipeline_en_5.5.0_3.0_1726527980899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_deletion_multiclass_complete_final_v2_pipeline_en_5.5.0_3.0_1726527980899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_deletion_multiclass_complete_final_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_deletion_multiclass_complete_final_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_deletion_multiclass_complete_final_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/research-dump/roberta-large_deletion_multiclass_complete_final_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_depression_classification_v2_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_depression_classification_v2_en.md
new file mode 100644
index 00000000000000..0fb538fc83fc6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_depression_classification_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_depression_classification_v2 RoBertaForSequenceClassification from Trong-Nghia
+author: John Snow Labs
+name: roberta_large_depression_classification_v2
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_depression_classification_v2` is a English model originally trained by Trong-Nghia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_depression_classification_v2_en_5.5.0_3.0_1726455935606.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_depression_classification_v2_en_5.5.0_3.0_1726455935606.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_depression_classification_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Trong-Nghia/roberta-large-depression-classification-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_go_emotions_v3_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_go_emotions_v3_en.md
new file mode 100644
index 00000000000000..3ef13e1e1ae4ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_go_emotions_v3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_go_emotions_v3 RoBertaForSequenceClassification from Prasadrao
+author: John Snow Labs
+name: roberta_large_go_emotions_v3
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_go_emotions_v3` is a English model originally trained by Prasadrao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_go_emotions_v3_en_5.5.0_3.0_1726505105983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_go_emotions_v3_en_5.5.0_3.0_1726505105983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_go_emotions_v3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/Prasadrao/roberta-large-go-emotions_v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_model_babylm_challenge_strict_small_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_model_babylm_challenge_strict_small_pipeline_en.md
new file mode 100644
index 00000000000000..0ca7283dbf51f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_model_babylm_challenge_strict_small_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_model_babylm_challenge_strict_small_pipeline pipeline RoBertaEmbeddings from TheBguy87
+author: John Snow Labs
+name: roberta_model_babylm_challenge_strict_small_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_model_babylm_challenge_strict_small_pipeline` is a English model originally trained by TheBguy87.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_model_babylm_challenge_strict_small_pipeline_en_5.5.0_3.0_1726513863531.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_model_babylm_challenge_strict_small_pipeline_en_5.5.0_3.0_1726513863531.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_model_babylm_challenge_strict_small_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_model_babylm_challenge_strict_small_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_model_babylm_challenge_strict_small_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|311.5 MB|
+
+## References
+
+https://huggingface.co/TheBguy87/roBERTa-Model-BabyLM-Challenge-Strict-Small
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_qa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_qa_pipeline_en.md
new file mode 100644
index 00000000000000..dfd1b13b4ffc34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_qa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_qa_pipeline pipeline RoBertaForQuestionAnswering from vaibhav9
+author: John Snow Labs
+name: roberta_qa_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_qa_pipeline` is a English model originally trained by vaibhav9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_qa_pipeline_en_5.5.0_3.0_1726501722615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_qa_pipeline_en_5.5.0_3.0_1726501722615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_qa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_qa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_qa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.7 MB|
+
+## References
+
+https://huggingface.co/vaibhav9/roberta-qa
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_tweet_eval_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_tweet_eval_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..366bf93f3c4b6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_tweet_eval_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_tweet_eval_finetuned_pipeline pipeline RoBertaForSequenceClassification from cruiser
+author: John Snow Labs
+name: roberta_tweet_eval_finetuned_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tweet_eval_finetuned_pipeline` is a English model originally trained by cruiser.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tweet_eval_finetuned_pipeline_en_5.5.0_3.0_1726527328768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tweet_eval_finetuned_pipeline_en_5.5.0_3.0_1726527328768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_tweet_eval_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_tweet_eval_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tweet_eval_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|451.2 MB|
+
+## References
+
+https://huggingface.co/cruiser/roberta_tweet_eval_finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-rubert_base_cased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-16-rubert_base_cased_finetuned_squad_en.md
new file mode 100644
index 00000000000000..61d3ab6de3928d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-rubert_base_cased_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English rubert_base_cased_finetuned_squad BertForQuestionAnswering from KirrAno93
+author: John Snow Labs
+name: rubert_base_cased_finetuned_squad
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_base_cased_finetuned_squad` is a English model originally trained by KirrAno93.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_base_cased_finetuned_squad_en_5.5.0_3.0_1726490008996.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_base_cased_finetuned_squad_en_5.5.0_3.0_1726490008996.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_base_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|664.3 MB|
+
+## References
+
+https://huggingface.co/KirrAno93/rubert-base-cased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-salamathanksfil2env3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-salamathanksfil2env3_pipeline_en.md
new file mode 100644
index 00000000000000..8221166ba0d5e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-salamathanksfil2env3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English salamathanksfil2env3_pipeline pipeline MarianTransformer from jimacasaet
+author: John Snow Labs
+name: salamathanksfil2env3_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`salamathanksfil2env3_pipeline` is a English model originally trained by jimacasaet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/salamathanksfil2env3_pipeline_en_5.5.0_3.0_1726491005569.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/salamathanksfil2env3_pipeline_en_5.5.0_3.0_1726491005569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("salamathanksfil2env3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("salamathanksfil2env3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|salamathanksfil2env3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|497.1 MB|
+
+## References
+
+https://huggingface.co/jimacasaet/SalamaThanksFIL2ENv3
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sent_bert_ancient_chinese_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-16-sent_bert_ancient_chinese_pipeline_zh.md
new file mode 100644
index 00000000000000..dc5bb8eac5ac33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sent_bert_ancient_chinese_pipeline_zh.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Chinese sent_bert_ancient_chinese_pipeline pipeline BertSentenceEmbeddings from Jihuai
+author: John Snow Labs
+name: sent_bert_ancient_chinese_pipeline
+date: 2024-09-16
+tags: [zh, open_source, pipeline, onnx]
+task: Embeddings
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_ancient_chinese_pipeline` is a Chinese model originally trained by Jihuai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_ancient_chinese_pipeline_zh_5.5.0_3.0_1726500508221.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_ancient_chinese_pipeline_zh_5.5.0_3.0_1726500508221.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_ancient_chinese_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_ancient_chinese_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_ancient_chinese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|431.0 MB|
+
+## References
+
+https://huggingface.co/Jihuai/bert-ancient-chinese
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sent_bert_next_word_prediction_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-sent_bert_next_word_prediction_pipeline_en.md
new file mode 100644
index 00000000000000..3b3797c18bcea2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sent_bert_next_word_prediction_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_next_word_prediction_pipeline pipeline BertSentenceEmbeddings from MattNandavong
+author: John Snow Labs
+name: sent_bert_next_word_prediction_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_next_word_prediction_pipeline` is a English model originally trained by MattNandavong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_next_word_prediction_pipeline_en_5.5.0_3.0_1726528724203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_next_word_prediction_pipeline_en_5.5.0_3.0_1726528724203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_next_word_prediction_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_next_word_prediction_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_next_word_prediction_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/MattNandavong/bert-next-word-prediction
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sent_clinical_pubmed_bert_base_512_en.md b/docs/_posts/ahmedlone127/2024-09-16-sent_clinical_pubmed_bert_base_512_en.md
new file mode 100644
index 00000000000000..dde4a8ed7625aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sent_clinical_pubmed_bert_base_512_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_clinical_pubmed_bert_base_512 BertSentenceEmbeddings from Tsubasaz
+author: John Snow Labs
+name: sent_clinical_pubmed_bert_base_512
+date: 2024-09-16
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_clinical_pubmed_bert_base_512` is a English model originally trained by Tsubasaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_clinical_pubmed_bert_base_512_en_5.5.0_3.0_1726501104628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_clinical_pubmed_bert_base_512_en_5.5.0_3.0_1726501104628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_clinical_pubmed_bert_base_512|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/Tsubasaz/clinical-pubmed-bert-base-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sent_morrbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-sent_morrbert_pipeline_en.md
new file mode 100644
index 00000000000000..bada496e53a54d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sent_morrbert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_morrbert_pipeline pipeline BertSentenceEmbeddings from otmangi
+author: John Snow Labs
+name: sent_morrbert_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_morrbert_pipeline` is a English model originally trained by otmangi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_morrbert_pipeline_en_5.5.0_3.0_1726522751201.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_morrbert_pipeline_en_5.5.0_3.0_1726522751201.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_morrbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_morrbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_morrbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|470.5 MB|
+
+## References
+
+https://huggingface.co/otmangi/MorrBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sent_roberta_base_culinary_en.md b/docs/_posts/ahmedlone127/2024-09-16-sent_roberta_base_culinary_en.md
new file mode 100644
index 00000000000000..c6b05eea683057
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sent_roberta_base_culinary_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_roberta_base_culinary BertSentenceEmbeddings from juancavallotti
+author: John Snow Labs
+name: sent_roberta_base_culinary
+date: 2024-09-16
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_roberta_base_culinary` is a English model originally trained by juancavallotti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_roberta_base_culinary_en_5.5.0_3.0_1726528837898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_roberta_base_culinary_en_5.5.0_3.0_1726528837898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_roberta_base_culinary|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|405.5 MB|
+
+## References
+
+https://huggingface.co/juancavallotti/roberta-base-culinary
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sentiment_vicd_en.md b/docs/_posts/ahmedlone127/2024-09-16-sentiment_vicd_en.md
new file mode 100644
index 00000000000000..4de0c2cb8ced88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sentiment_vicd_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_vicd RoBertaForSequenceClassification from vicd
+author: John Snow Labs
+name: sentiment_vicd
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_vicd` is a English model originally trained by vicd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_vicd_en_5.5.0_3.0_1726456358417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_vicd_en_5.5.0_3.0_1726456358417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_vicd|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.4 MB|
+
+## References
+
+https://huggingface.co/vicd/sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-t_10005_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-t_10005_pipeline_en.md
new file mode 100644
index 00000000000000..96d18b66f322da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-t_10005_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English t_10005_pipeline pipeline RoBertaForSequenceClassification from Pablojmed
+author: John Snow Labs
+name: t_10005_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t_10005_pipeline` is a English model originally trained by Pablojmed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t_10005_pipeline_en_5.5.0_3.0_1726527961022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t_10005_pipeline_en_5.5.0_3.0_1726527961022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("t_10005_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("t_10005_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t_10005_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.2 MB|
+
+## References
+
+https://huggingface.co/Pablojmed/t_10005
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-test_trainer_allevelly_en.md b/docs/_posts/ahmedlone127/2024-09-16-test_trainer_allevelly_en.md
new file mode 100644
index 00000000000000..f26fce57aa7810
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-test_trainer_allevelly_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_trainer_allevelly RoBertaForSequenceClassification from allevelly
+author: John Snow Labs
+name: test_trainer_allevelly
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_trainer_allevelly` is a English model originally trained by allevelly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_allevelly_en_5.5.0_3.0_1726504460165.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_allevelly_en_5.5.0_3.0_1726504460165.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_allevelly|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/allevelly/test_trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-tner_xlm_roberta_base_uncased_all_english_finetuned_rte_en.md b/docs/_posts/ahmedlone127/2024-09-16-tner_xlm_roberta_base_uncased_all_english_finetuned_rte_en.md
new file mode 100644
index 00000000000000..942312a089f63a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-tner_xlm_roberta_base_uncased_all_english_finetuned_rte_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tner_xlm_roberta_base_uncased_all_english_finetuned_rte XlmRoBertaForSequenceClassification from anamelchor
+author: John Snow Labs
+name: tner_xlm_roberta_base_uncased_all_english_finetuned_rte
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tner_xlm_roberta_base_uncased_all_english_finetuned_rte` is a English model originally trained by anamelchor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tner_xlm_roberta_base_uncased_all_english_finetuned_rte_en_5.5.0_3.0_1726516599245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tner_xlm_roberta_base_uncased_all_english_finetuned_rte_en_5.5.0_3.0_1726516599245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|transformer_qa_with_batch|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/choichoi/transformer_qa_with_batch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-translate_model_fixed_v0_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-translate_model_fixed_v0_3_pipeline_en.md
new file mode 100644
index 00000000000000..e7901075793cd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-translate_model_fixed_v0_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English translate_model_fixed_v0_3_pipeline pipeline MarianTransformer from gshields
+author: John Snow Labs
+name: translate_model_fixed_v0_3_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`translate_model_fixed_v0_3_pipeline` is a English model originally trained by gshields.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/translate_model_fixed_v0_3_pipeline_en_5.5.0_3.0_1726493796255.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/translate_model_fixed_v0_3_pipeline_en_5.5.0_3.0_1726493796255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("translate_model_fixed_v0_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("translate_model_fixed_v0_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translate_model_fixed_v0_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|523.4 MB|
+
+## References
+
+https://huggingface.co/gshields/translate_model_fixed_v0.3
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-translator_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-translator_pipeline_en.md
new file mode 100644
index 00000000000000..d9d505ca2cc657
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-translator_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English translator_pipeline pipeline MarianTransformer from motmans-pj
+author: John Snow Labs
+name: translator_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`translator_pipeline` is a English model originally trained by motmans-pj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/translator_pipeline_en_5.5.0_3.0_1726491548220.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/translator_pipeline_en_5.5.0_3.0_1726491548220.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("translator_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("translator_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translator_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|549.5 MB|
+
+## References
+
+https://huggingface.co/motmans-pj/translator
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-twiiter_try8_fold2_en.md b/docs/_posts/ahmedlone127/2024-09-16-twiiter_try8_fold2_en.md
new file mode 100644
index 00000000000000..c70e9294e32c18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-twiiter_try8_fold2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twiiter_try8_fold2 RoBertaForSequenceClassification from yanezh
+author: John Snow Labs
+name: twiiter_try8_fold2
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twiiter_try8_fold2` is a English model originally trained by yanezh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twiiter_try8_fold2_en_5.5.0_3.0_1726527391813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twiiter_try8_fold2_en_5.5.0_3.0_1726527391813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twiiter_try8_fold2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/yanezh/twiiter_try8_fold2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-twitter_roberta_base_sentiment_latest_nizar_sayad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-twitter_roberta_base_sentiment_latest_nizar_sayad_pipeline_en.md
new file mode 100644
index 00000000000000..34107ab61b4aef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-twitter_roberta_base_sentiment_latest_nizar_sayad_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_roberta_base_sentiment_latest_nizar_sayad_pipeline pipeline RoBertaForSequenceClassification from nizar-sayad
+author: John Snow Labs
+name: twitter_roberta_base_sentiment_latest_nizar_sayad_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_sentiment_latest_nizar_sayad_pipeline` is a English model originally trained by nizar-sayad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_latest_nizar_sayad_pipeline_en_5.5.0_3.0_1726470397384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_latest_nizar_sayad_pipeline_en_5.5.0_3.0_1726470397384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_roberta_base_sentiment_latest_nizar_sayad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_roberta_base_sentiment_latest_nizar_sayad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_sentiment_latest_nizar_sayad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/nizar-sayad/twitter-roberta-base-sentiment-latest
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_divehi_victorbarra_pipeline_dv.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_divehi_victorbarra_pipeline_dv.md
new file mode 100644
index 00000000000000..5a92cf7e984980
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_divehi_victorbarra_pipeline_dv.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Dhivehi, Divehi, Maldivian whisper_small_divehi_victorbarra_pipeline pipeline WhisperForCTC from victorbarra
+author: John Snow Labs
+name: whisper_small_divehi_victorbarra_pipeline
+date: 2024-09-16
+tags: [dv, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: dv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_divehi_victorbarra_pipeline` is a Dhivehi, Divehi, Maldivian model originally trained by victorbarra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_victorbarra_pipeline_dv_5.5.0_3.0_1726478105688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_victorbarra_pipeline_dv_5.5.0_3.0_1726478105688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_divehi_victorbarra_pipeline", lang = "dv")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_divehi_victorbarra_pipeline", lang = "dv")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_divehi_victorbarra_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|dv|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/victorbarra/whisper-small-dv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_persian_farsi_benchmarkcentral_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_persian_farsi_benchmarkcentral_pipeline_fa.md
new file mode 100644
index 00000000000000..ed55270fc70aff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_persian_farsi_benchmarkcentral_pipeline_fa.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Persian whisper_small_persian_farsi_benchmarkcentral_pipeline pipeline WhisperForCTC from benchmarkcentral
+author: John Snow Labs
+name: whisper_small_persian_farsi_benchmarkcentral_pipeline
+date: 2024-09-16
+tags: [fa, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_persian_farsi_benchmarkcentral_pipeline` is a Persian model originally trained by benchmarkcentral.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_persian_farsi_benchmarkcentral_pipeline_fa_5.5.0_3.0_1726481274965.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_persian_farsi_benchmarkcentral_pipeline_fa_5.5.0_3.0_1726481274965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_persian_farsi_benchmarkcentral_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_persian_farsi_benchmarkcentral_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_persian_farsi_benchmarkcentral_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/benchmarkcentral/whisper-small-fa
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_bengali_rakib_pipeline_bn.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_bengali_rakib_pipeline_bn.md
new file mode 100644
index 00000000000000..d746c243f36898
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_bengali_rakib_pipeline_bn.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Bengali whisper_tiny_bengali_rakib_pipeline pipeline WhisperForCTC from Rakib
+author: John Snow Labs
+name: whisper_tiny_bengali_rakib_pipeline
+date: 2024-09-16
+tags: [bn, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: bn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_bengali_rakib_pipeline` is a Bengali model originally trained by Rakib.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_bengali_rakib_pipeline_bn_5.5.0_3.0_1726480094832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_bengali_rakib_pipeline_bn_5.5.0_3.0_1726480094832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_bengali_rakib_pipeline", lang = "bn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_bengali_rakib_pipeline", lang = "bn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_bengali_rakib_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|bn|
+|Size:|391.3 MB|
+
+## References
+
+https://huggingface.co/Rakib/whisper-tiny-bn
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_divehi_rajeshwari_ss_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_divehi_rajeshwari_ss_pipeline_en.md
new file mode 100644
index 00000000000000..8f5aa1996ce814
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_divehi_rajeshwari_ss_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_divehi_rajeshwari_ss_pipeline pipeline WhisperForCTC from Rajeshwari-SS
+author: John Snow Labs
+name: whisper_tiny_divehi_rajeshwari_ss_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_divehi_rajeshwari_ss_pipeline` is a English model originally trained by Rajeshwari-SS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_divehi_rajeshwari_ss_pipeline_en_5.5.0_3.0_1726486594722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_divehi_rajeshwari_ss_pipeline_en_5.5.0_3.0_1726486594722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_divehi_rajeshwari_ss_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_divehi_rajeshwari_ss_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_divehi_rajeshwari_ss_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/Rajeshwari-SS/whisper-tiny-dv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_smarthome_thai_th.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_smarthome_thai_th.md
new file mode 100644
index 00000000000000..c32e1d30709cea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_smarthome_thai_th.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Thai whisper_tiny_smarthome_thai WhisperForCTC from Porameht
+author: John Snow Labs
+name: whisper_tiny_smarthome_thai
+date: 2024-09-16
+tags: [th, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: th
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_smarthome_thai` is a Thai model originally trained by Porameht.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_smarthome_thai_th_5.5.0_3.0_1726480492974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_smarthome_thai_th_5.5.0_3.0_1726480492974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_smarthome_thai|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|th|
+|Size:|389.8 MB|
+
+## References
+
+https://huggingface.co/Porameht/whisper-tiny-smarthome-thai
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_isaacp_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_isaacp_en.md
new file mode 100644
index 00000000000000..f6f395cca5a401
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_isaacp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_isaacp XlmRoBertaForTokenClassification from Isaacp
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_isaacp
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_isaacp` is a English model originally trained by Isaacp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_isaacp_en_5.5.0_3.0_1726497949983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_isaacp_en_5.5.0_3.0_1726497949983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_isaacp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/Isaacp/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_english_alkampfer_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_english_alkampfer_en.md
new file mode 100644
index 00000000000000..8b218cbc2b1592
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_english_alkampfer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_alkampfer XlmRoBertaForTokenClassification from alkampfer
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_alkampfer
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_alkampfer` is a English model originally trained by alkampfer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_alkampfer_en_5.5.0_3.0_1726496317127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_alkampfer_en_5.5.0_3.0_1726496317127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_alkampfer|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/alkampfer/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_tyayoi_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_tyayoi_en.md
new file mode 100644
index 00000000000000..17dc9d428d7b27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_tyayoi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_tyayoi XlmRoBertaForTokenClassification from tyayoi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_tyayoi
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_tyayoi` is a English model originally trained by tyayoi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_tyayoi_en_5.5.0_3.0_1726495575577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_tyayoi_en_5.5.0_3.0_1726495575577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_tyayoi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/tyayoi/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_hr1588_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_hr1588_en.md
new file mode 100644
index 00000000000000..415de6fe91c110
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_hr1588_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_hr1588 XlmRoBertaForTokenClassification from hr1588
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_hr1588
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_hr1588` is a English model originally trained by hr1588.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_hr1588_en_5.5.0_3.0_1726497791783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_hr1588_en_5.5.0_3.0_1726497791783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_hr1588|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.4 MB|
+
+## References
+
+https://huggingface.co/hr1588/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_conll2003_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_conll2003_pipeline_en.md
new file mode 100644
index 00000000000000..5f893c0221f7e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_conll2003_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_conll2003_pipeline pipeline XlmRoBertaForTokenClassification from manirai91
+author: John Snow Labs
+name: xlm_roberta_conll2003_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_conll2003_pipeline` is a English model originally trained by manirai91.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_conll2003_pipeline_en_5.5.0_3.0_1726495954275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_conll2003_pipeline_en_5.5.0_3.0_1726495954275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_conll2003_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_conll2003_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_conll2003_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.6 MB|
+
+## References
+
+https://huggingface.co/manirai91/xlm-roberta-conll2003
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_emotion_detector_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_emotion_detector_en.md
new file mode 100644
index 00000000000000..56dce52dce5bb0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_emotion_detector_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_emotion_detector XlmRoBertaForSequenceClassification from fremy7
+author: John Snow Labs
+name: xlm_roberta_emotion_detector
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_emotion_detector` is a English model originally trained by fremy7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_emotion_detector_en_5.5.0_3.0_1726516406866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_emotion_detector_en_5.5.0_3.0_1726516406866.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_emotion_detector|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|816.5 MB|
+
+## References
+
+https://huggingface.co/fremy7/xlm_roberta_emotion_detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_en.md
new file mode 100644
index 00000000000000..2ed1505b76bc6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed XlmRoBertaForSequenceClassification from Karim-Gamal
+author: John Snow Labs
+name: xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed` is a English model originally trained by Karim-Gamal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_en_5.5.0_3.0_1726517115203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_en_5.5.0_3.0_1726517115203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/Karim-Gamal/XLM-Roberta-finetuned-emojis-1-client-toxic-Krum-non-IID-Fed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-yelp_polarity_tuned_distilbert_base_10k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-yelp_polarity_tuned_distilbert_base_10k_pipeline_en.md
new file mode 100644
index 00000000000000..fa5296c05021f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-yelp_polarity_tuned_distilbert_base_10k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English yelp_polarity_tuned_distilbert_base_10k_pipeline pipeline DistilBertForSequenceClassification from kbang2021
+author: John Snow Labs
+name: yelp_polarity_tuned_distilbert_base_10k_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yelp_polarity_tuned_distilbert_base_10k_pipeline` is a English model originally trained by kbang2021.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yelp_polarity_tuned_distilbert_base_10k_pipeline_en_5.5.0_3.0_1726525432700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yelp_polarity_tuned_distilbert_base_10k_pipeline_en_5.5.0_3.0_1726525432700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("yelp_polarity_tuned_distilbert_base_10k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("yelp_polarity_tuned_distilbert_base_10k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yelp_polarity_tuned_distilbert_base_10k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/kbang2021/yelp_polarity_tuned_distilbert_base_10K
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-2020_q1_filtered_tweets_tok_en.md b/docs/_posts/ahmedlone127/2024-09-17-2020_q1_filtered_tweets_tok_en.md
new file mode 100644
index 00000000000000..0b87d7faac4b73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-2020_q1_filtered_tweets_tok_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2020_q1_filtered_tweets_tok RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q1_filtered_tweets_tok
+date: 2024-09-17
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q1_filtered_tweets_tok` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q1_filtered_tweets_tok_en_5.5.0_3.0_1726595146538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q1_filtered_tweets_tok_en_5.5.0_3.0_1726595146538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q1_filtered_tweets_tok|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.8 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q1-filtered_tweets_tok
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-all_roberta_large_v1_home_5_16_5_en.md b/docs/_posts/ahmedlone127/2024-09-17-all_roberta_large_v1_home_5_16_5_en.md
new file mode 100644
index 00000000000000..acb5a7cde2d868
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-all_roberta_large_v1_home_5_16_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_home_5_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_home_5_16_5
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_home_5_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_home_5_16_5_en_5.5.0_3.0_1726591452708.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_home_5_16_5_en_5.5.0_3.0_1726591452708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_home_5_16_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-home-5-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-all_roberta_large_v1_kitchen_and_dining_8_16_5_oos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-all_roberta_large_v1_kitchen_and_dining_8_16_5_oos_pipeline_en.md
new file mode 100644
index 00000000000000..62e67f25e30488
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-all_roberta_large_v1_kitchen_and_dining_8_16_5_oos_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_kitchen_and_dining_8_16_5_oos_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_kitchen_and_dining_8_16_5_oos_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_kitchen_and_dining_8_16_5_oos_pipeline` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_kitchen_and_dining_8_16_5_oos_pipeline_en_5.5.0_3.0_1726591972009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_kitchen_and_dining_8_16_5_oos_pipeline_en_5.5.0_3.0_1726591972009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_roberta_large_v1_kitchen_and_dining_8_16_5_oos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_kitchen_and_dining_8_16_5_oos_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_kitchen_and_dining_8_16_5_oos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-kitchen_and_dining-8-16-5-oos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-alvaro_marian_finetuned_italian_portuguese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-alvaro_marian_finetuned_italian_portuguese_pipeline_en.md
new file mode 100644
index 00000000000000..ab35d1f00f9aeb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-alvaro_marian_finetuned_italian_portuguese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English alvaro_marian_finetuned_italian_portuguese_pipeline pipeline MarianTransformer from Rooshan
+author: John Snow Labs
+name: alvaro_marian_finetuned_italian_portuguese_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`alvaro_marian_finetuned_italian_portuguese_pipeline` is a English model originally trained by Rooshan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alvaro_marian_finetuned_italian_portuguese_pipeline_en_5.5.0_3.0_1726581713923.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alvaro_marian_finetuned_italian_portuguese_pipeline_en_5.5.0_3.0_1726581713923.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("alvaro_marian_finetuned_italian_portuguese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("alvaro_marian_finetuned_italian_portuguese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alvaro_marian_finetuned_italian_portuguese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|376.8 MB|
+
+## References
+
+https://huggingface.co/Rooshan/Alvaro-marian_finetuned_it_pt
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-auro_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-auro_2_pipeline_en.md
new file mode 100644
index 00000000000000..61a366e10d8174
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-auro_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English auro_2_pipeline pipeline RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: auro_2_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`auro_2_pipeline` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/auro_2_pipeline_en_5.5.0_3.0_1726573332893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/auro_2_pipeline_en_5.5.0_3.0_1726573332893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("auro_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("auro_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|auro_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/BaronSch/AURO_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bert_base_multilingual_cased_finetuned_token_language_classification_xx.md b/docs/_posts/ahmedlone127/2024-09-17-bert_base_multilingual_cased_finetuned_token_language_classification_xx.md
new file mode 100644
index 00000000000000..6b42ad75a3d07b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bert_base_multilingual_cased_finetuned_token_language_classification_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual bert_base_multilingual_cased_finetuned_token_language_classification BertForTokenClassification from emmabedna
+author: John Snow Labs
+name: bert_base_multilingual_cased_finetuned_token_language_classification
+date: 2024-09-17
+tags: [xx, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_multilingual_cased_finetuned_token_language_classification` is a Multilingual model originally trained by emmabedna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_finetuned_token_language_classification_xx_5.5.0_3.0_1726602232674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_finetuned_token_language_classification_xx_5.5.0_3.0_1726602232674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_swedish_cased_sv2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|465.2 MB|
+
+## References
+
+https://huggingface.co/monakth/bert-base-swedish-cased-sv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bert_base_uncased_ep_2_69_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-bert_base_uncased_ep_2_69_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md
new file mode 100644
index 00000000000000..4e6491310e010f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bert_base_uncased_ep_2_69_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_ep_2_69_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_true_fh_false_hs_0_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_2_69_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_true_fh_false_hs_0_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_2_69_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_true_fh_false_hs_0_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_2_69_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en_5.5.0_3.0_1726589908256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_2_69_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en_5.5.0_3.0_1726589908256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ep_2_69_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_true_fh_false_hs_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ep_2_69_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_true_fh_false_hs_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_2_69_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_true_fh_false_hs_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-2.69-b-32-lr-1.2e-06-dp-0.3-ss-0-st-True-fh-False-hs-0
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bert_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-bert_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..a559c9f6403b6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bert_finetuned_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_finetuned_pipeline pipeline DistilBertForQuestionAnswering from harshil30402
+author: John Snow Labs
+name: bert_finetuned_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_pipeline` is a English model originally trained by harshil30402.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_pipeline_en_5.5.0_3.0_1726555256509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_pipeline_en_5.5.0_3.0_1726555256509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/harshil30402/bert_finetuned
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bert_gemma2b_sanity_vllm_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-bert_gemma2b_sanity_vllm_0_pipeline_en.md
new file mode 100644
index 00000000000000..5ca98f28a0f3f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bert_gemma2b_sanity_vllm_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_gemma2b_sanity_vllm_0_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: bert_gemma2b_sanity_vllm_0_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_gemma2b_sanity_vllm_0_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_gemma2b_sanity_vllm_0_pipeline_en_5.5.0_3.0_1726584893370.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_gemma2b_sanity_vllm_0_pipeline_en_5.5.0_3.0_1726584893370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_gemma2b_sanity_vllm_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_gemma2b_sanity_vllm_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_gemma2b_sanity_vllm_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/BERT_gemma2b-sanity-vllm_0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bert_milei_es.md b/docs/_posts/ahmedlone127/2024-09-17-bert_milei_es.md
new file mode 100644
index 00000000000000..34c52d5d4a42ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bert_milei_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish bert_milei XlmRoBertaForSequenceClassification from nmarinnn
+author: John Snow Labs
+name: bert_milei
+date: 2024-09-17
+tags: [es, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_milei` is a Castilian, Spanish model originally trained by nmarinnn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_milei_es_5.5.0_3.0_1726535229412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_milei_es_5.5.0_3.0_1726535229412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_carmen_procedimiento|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|437.6 MB|
+
+## References
+
+https://huggingface.co/BSC-NLP4BIA/bsc-bio-ehr-es-carmen-procedimiento
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bsc_bio_ehr_spanish_carmen_procedimiento_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-17-bsc_bio_ehr_spanish_carmen_procedimiento_pipeline_es.md
new file mode 100644
index 00000000000000..4ee119413ccc8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bsc_bio_ehr_spanish_carmen_procedimiento_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish bsc_bio_ehr_spanish_carmen_procedimiento_pipeline pipeline RoBertaForTokenClassification from BSC-NLP4BIA
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_carmen_procedimiento_pipeline
+date: 2024-09-17
+tags: [es, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_carmen_procedimiento_pipeline` is a Castilian, Spanish model originally trained by BSC-NLP4BIA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_carmen_procedimiento_pipeline_es_5.5.0_3.0_1726538162055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_carmen_procedimiento_pipeline_es_5.5.0_3.0_1726538162055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bsc_bio_ehr_spanish_carmen_procedimiento_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bsc_bio_ehr_spanish_carmen_procedimiento_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_carmen_procedimiento_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|437.7 MB|
+
+## References
+
+https://huggingface.co/BSC-NLP4BIA/bsc-bio-ehr-es-carmen-procedimiento
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_pipeline_en.md
new file mode 100644
index 00000000000000..ba83821d85867c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_pipeline pipeline RoBertaForTokenClassification from Rodrigo1771
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_pipeline` is a English model originally trained by Rodrigo1771.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_pipeline_en_5.5.0_3.0_1726538154429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_pipeline_en_5.5.0_3.0_1726538154429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|435.1 MB|
+
+## References
+
+https://huggingface.co/Rodrigo1771/bsc-bio-ehr-es-symptemist-word2vec-8-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_model_yeshiovo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_model_yeshiovo_pipeline_en.md
new file mode 100644
index 00000000000000..2de3bd366ae22f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_model_yeshiovo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_yeshiovo_pipeline pipeline DistilBertForSequenceClassification from yeshiovo
+author: John Snow Labs
+name: burmese_awesome_model_yeshiovo_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_yeshiovo_pipeline` is a English model originally trained by yeshiovo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yeshiovo_pipeline_en_5.5.0_3.0_1726593466497.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_yeshiovo_pipeline_en_5.5.0_3.0_1726593466497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_yeshiovo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_yeshiovo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_yeshiovo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yeshiovo/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_qa_model_naitik370_en.md b/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_qa_model_naitik370_en.md
new file mode 100644
index 00000000000000..9fbbccc2bce2f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_qa_model_naitik370_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_naitik370 DistilBertForQuestionAnswering from Naitik370
+author: John Snow Labs
+name: burmese_awesome_qa_model_naitik370
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_naitik370` is a English model originally trained by Naitik370.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_naitik370_en_5.5.0_3.0_1726574642188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_naitik370_en_5.5.0_3.0_1726574642188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_naitik370|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Naitik370/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-burmese_translation_helsinki2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-burmese_translation_helsinki2_pipeline_en.md
new file mode 100644
index 00000000000000..850175b8fdf6de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-burmese_translation_helsinki2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_translation_helsinki2_pipeline pipeline MarianTransformer from duwuonline
+author: John Snow Labs
+name: burmese_translation_helsinki2_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_translation_helsinki2_pipeline` is a English model originally trained by duwuonline.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_translation_helsinki2_pipeline_en_5.5.0_3.0_1726532850843.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_translation_helsinki2_pipeline_en_5.5.0_3.0_1726532850843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_translation_helsinki2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_translation_helsinki2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_translation_helsinki2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|475.3 MB|
+
+## References
+
+https://huggingface.co/duwuonline/my-translation-helsinki2
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-ca3109_movie_genre_classification_from_keywords_en.md b/docs/_posts/ahmedlone127/2024-09-17-ca3109_movie_genre_classification_from_keywords_en.md
new file mode 100644
index 00000000000000..9a86d1e70540ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-ca3109_movie_genre_classification_from_keywords_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ca3109_movie_genre_classification_from_keywords DistilBertForSequenceClassification from JordanTallon
+author: John Snow Labs
+name: ca3109_movie_genre_classification_from_keywords
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ca3109_movie_genre_classification_from_keywords` is a English model originally trained by JordanTallon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ca3109_movie_genre_classification_from_keywords_en_5.5.0_3.0_1726594072196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ca3109_movie_genre_classification_from_keywords_en_5.5.0_3.0_1726594072196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ca3109_movie_genre_classification_from_keywords|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/JordanTallon/CA3109-Movie-Genre-Classification-From-Keywords
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-cat_sayula_popoluca_iw_catalan_galician_en.md b/docs/_posts/ahmedlone127/2024-09-17-cat_sayula_popoluca_iw_catalan_galician_en.md
new file mode 100644
index 00000000000000..a55d5571a9b653
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-cat_sayula_popoluca_iw_catalan_galician_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cat_sayula_popoluca_iw_catalan_galician XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_sayula_popoluca_iw_catalan_galician
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cat_sayula_popoluca_iw_catalan_galician` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_iw_catalan_galician_en_5.5.0_3.0_1726576394018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_iw_catalan_galician_en_5.5.0_3.0_1726576394018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_sayula_popoluca_iw_catalan_galician|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|432.1 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-pos-iw-ca-gl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-cl_style_1_1_epoch_recipe_pretrained_roberta_base_squadv2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-cl_style_1_1_epoch_recipe_pretrained_roberta_base_squadv2_pipeline_en.md
new file mode 100644
index 00000000000000..226e077b4b181c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-cl_style_1_1_epoch_recipe_pretrained_roberta_base_squadv2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English cl_style_1_1_epoch_recipe_pretrained_roberta_base_squadv2_pipeline pipeline RoBertaForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: cl_style_1_1_epoch_recipe_pretrained_roberta_base_squadv2_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cl_style_1_1_epoch_recipe_pretrained_roberta_base_squadv2_pipeline` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cl_style_1_1_epoch_recipe_pretrained_roberta_base_squadv2_pipeline_en_5.5.0_3.0_1726580653649.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cl_style_1_1_epoch_recipe_pretrained_roberta_base_squadv2_pipeline_en_5.5.0_3.0_1726580653649.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cl_style_1_1_epoch_recipe_pretrained_roberta_base_squadv2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cl_style_1_1_epoch_recipe_pretrained_roberta_base_squadv2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cl_style_1_1_epoch_recipe_pretrained_roberta_base_squadv2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/AnonymousSub/CL_style_1_1_epoch_recipe_pretrained_roberta_base_squadv2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-classifier__generated_data_only__meansdetection_albert_en.md b/docs/_posts/ahmedlone127/2024-09-17-classifier__generated_data_only__meansdetection_albert_en.md
new file mode 100644
index 00000000000000..b5c536d1d84f19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-classifier__generated_data_only__meansdetection_albert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English classifier__generated_data_only__meansdetection_albert AlbertForSequenceClassification from yevhenkost
+author: John Snow Labs
+name: classifier__generated_data_only__meansdetection_albert
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classifier__generated_data_only__meansdetection_albert` is a English model originally trained by yevhenkost.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classifier__generated_data_only__meansdetection_albert_en_5.5.0_3.0_1726600525168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classifier__generated_data_only__meansdetection_albert_en_5.5.0_3.0_1726600525168.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinicalbertprqa_150_mincls|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.3 MB|
+
+## References
+
+https://huggingface.co/lanzv/ClinicalBERTPRQA_150_mincls
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-clr_pretrained_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-clr_pretrained_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..08a8a7a0b2dbab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-clr_pretrained_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English clr_pretrained_roberta_base_pipeline pipeline RoBertaEmbeddings from SauravMaheshkar
+author: John Snow Labs
+name: clr_pretrained_roberta_base_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clr_pretrained_roberta_base_pipeline` is a English model originally trained by SauravMaheshkar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clr_pretrained_roberta_base_pipeline_en_5.5.0_3.0_1726602567779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clr_pretrained_roberta_base_pipeline_en_5.5.0_3.0_1726602567779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("clr_pretrained_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("clr_pretrained_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clr_pretrained_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/SauravMaheshkar/clr-pretrained-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-cnj_v1_2__checkpoint_last_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-cnj_v1_2__checkpoint_last_pipeline_en.md
new file mode 100644
index 00000000000000..6a5135208eb904
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-cnj_v1_2__checkpoint_last_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cnj_v1_2__checkpoint_last_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: cnj_v1_2__checkpoint_last_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cnj_v1_2__checkpoint_last_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cnj_v1_2__checkpoint_last_pipeline_en_5.5.0_3.0_1726603290466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cnj_v1_2__checkpoint_last_pipeline_en_5.5.0_3.0_1726603290466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cnj_v1_2__checkpoint_last_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cnj_v1_2__checkpoint_last_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cnj_v1_2__checkpoint_last_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|298.3 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/cnj_v1_2__checkpoint_last
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-codebert_base_en.md b/docs/_posts/ahmedlone127/2024-09-17-codebert_base_en.md
new file mode 100644
index 00000000000000..ab34ebf40ea0d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-codebert_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English codebert_base RoBertaForTokenClassification from DianaIulia
+author: John Snow Labs
+name: codebert_base
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`codebert_base` is a English model originally trained by DianaIulia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/codebert_base_en_5.5.0_3.0_1726537512795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/codebert_base_en_5.5.0_3.0_1726537512795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|codebert_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DianaIulia/codebert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-cold_fusion_itr9_seed4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-cold_fusion_itr9_seed4_pipeline_en.md
new file mode 100644
index 00000000000000..bf49b86142a6ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-cold_fusion_itr9_seed4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cold_fusion_itr9_seed4_pipeline pipeline RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr9_seed4_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr9_seed4_pipeline` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr9_seed4_pipeline_en_5.5.0_3.0_1726591143275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr9_seed4_pipeline_en_5.5.0_3.0_1726591143275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cold_fusion_itr9_seed4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cold_fusion_itr9_seed4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr9_seed4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.0 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr9-seed4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-croatian_roberta_base_pipeline_hr.md b/docs/_posts/ahmedlone127/2024-09-17-croatian_roberta_base_pipeline_hr.md
new file mode 100644
index 00000000000000..26ea12522841cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-croatian_roberta_base_pipeline_hr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Croatian croatian_roberta_base_pipeline pipeline RoBertaEmbeddings from macedonizer
+author: John Snow Labs
+name: croatian_roberta_base_pipeline
+date: 2024-09-17
+tags: [hr, open_source, pipeline, onnx]
+task: Embeddings
+language: hr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`croatian_roberta_base_pipeline` is a Croatian model originally trained by macedonizer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/croatian_roberta_base_pipeline_hr_5.5.0_3.0_1726595564973.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/croatian_roberta_base_pipeline_hr_5.5.0_3.0_1726595564973.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("croatian_roberta_base_pipeline", lang = "hr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("croatian_roberta_base_pipeline", lang = "hr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|croatian_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hr|
+|Size:|310.8 MB|
+
+## References
+
+https://huggingface.co/macedonizer/hr-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-dataequity_opus_maltese_english_tagalog_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-dataequity_opus_maltese_english_tagalog_pipeline_en.md
new file mode 100644
index 00000000000000..73cc78abf40ebb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-dataequity_opus_maltese_english_tagalog_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dataequity_opus_maltese_english_tagalog_pipeline pipeline MarianTransformer from dataequity
+author: John Snow Labs
+name: dataequity_opus_maltese_english_tagalog_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dataequity_opus_maltese_english_tagalog_pipeline` is a English model originally trained by dataequity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dataequity_opus_maltese_english_tagalog_pipeline_en_5.5.0_3.0_1726533273840.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dataequity_opus_maltese_english_tagalog_pipeline_en_5.5.0_3.0_1726533273840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dataequity_opus_maltese_english_tagalog_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dataequity_opus_maltese_english_tagalog_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dataequity_opus_maltese_english_tagalog_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|497.3 MB|
+
+## References
+
+https://huggingface.co/dataequity/dataequity-opus-mt-en-tl
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-dictabert_large_heq_he.md b/docs/_posts/ahmedlone127/2024-09-17-dictabert_large_heq_he.md
new file mode 100644
index 00000000000000..a3da808cc95a75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-dictabert_large_heq_he.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: Hebrew dictabert_large_heq BertForQuestionAnswering from dicta-il
+author: John Snow Labs
+name: dictabert_large_heq
+date: 2024-09-17
+tags: [he, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: he
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dictabert_large_heq` is a Hebrew model originally trained by dicta-il.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dictabert_large_heq_he_5.5.0_3.0_1726544197502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dictabert_large_heq_he_5.5.0_3.0_1726544197502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dictabert_large_heq|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|he|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/dicta-il/dictabert-large-heq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-dictabert_large_heq_pipeline_he.md b/docs/_posts/ahmedlone127/2024-09-17-dictabert_large_heq_pipeline_he.md
new file mode 100644
index 00000000000000..25476171e399e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-dictabert_large_heq_pipeline_he.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hebrew dictabert_large_heq_pipeline pipeline BertForQuestionAnswering from dicta-il
+author: John Snow Labs
+name: dictabert_large_heq_pipeline
+date: 2024-09-17
+tags: [he, open_source, pipeline, onnx]
+task: Question Answering
+language: he
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dictabert_large_heq_pipeline` is a Hebrew model originally trained by dicta-il.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dictabert_large_heq_pipeline_he_5.5.0_3.0_1726544293376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dictabert_large_heq_pipeline_he_5.5.0_3.0_1726544293376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dictabert_large_heq_pipeline", lang = "he")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dictabert_large_heq_pipeline", lang = "he")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dictabert_large_heq_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|he|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/dicta-il/dictabert-large-heq
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-discourse_prediction__basic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-discourse_prediction__basic_pipeline_en.md
new file mode 100644
index 00000000000000..5e7fffcb43aba2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-discourse_prediction__basic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English discourse_prediction__basic_pipeline pipeline AlbertForSequenceClassification from alex2awesome
+author: John Snow Labs
+name: discourse_prediction__basic_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`discourse_prediction__basic_pipeline` is a English model originally trained by alex2awesome.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/discourse_prediction__basic_pipeline_en_5.5.0_3.0_1726600690209.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/discourse_prediction__basic_pipeline_en_5.5.0_3.0_1726600690209.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("discourse_prediction__basic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("discourse_prediction__basic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|discourse_prediction__basic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|834.0 MB|
+
+## References
+
+https://huggingface.co/alex2awesome/discourse-prediction__basic
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distil_whisper_small_polyai_minds14_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distil_whisper_small_polyai_minds14_pipeline_en.md
new file mode 100644
index 00000000000000..16181235dc408f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distil_whisper_small_polyai_minds14_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distil_whisper_small_polyai_minds14_pipeline pipeline WhisperForCTC from Shamik
+author: John Snow Labs
+name: distil_whisper_small_polyai_minds14_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_whisper_small_polyai_minds14_pipeline` is a English model originally trained by Shamik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_whisper_small_polyai_minds14_pipeline_en_5.5.0_3.0_1726552980409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_whisper_small_polyai_minds14_pipeline_en_5.5.0_3.0_1726552980409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distil_whisper_small_polyai_minds14_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distil_whisper_small_polyai_minds14_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_whisper_small_polyai_minds14_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Shamik/distil-whisper-small-polyAI-minds14
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_amazon_multi_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_amazon_multi_pipeline_xx.md
new file mode 100644
index 00000000000000..0644a8d7eaef9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_amazon_multi_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual distilbert_base_amazon_multi_pipeline pipeline DistilBertForSequenceClassification from arnabdhar
+author: John Snow Labs
+name: distilbert_base_amazon_multi_pipeline
+date: 2024-09-17
+tags: [xx, open_source, pipeline, onnx]
+task: Text Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_amazon_multi_pipeline` is a Multilingual model originally trained by arnabdhar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_amazon_multi_pipeline_xx_5.5.0_3.0_1726594115412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_amazon_multi_pipeline_xx_5.5.0_3.0_1726594115412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_amazon_multi_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_amazon_multi_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_amazon_multi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/arnabdhar/distilbert-base-amazon-multi
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_cased_distilled_squad_qnli_v0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_cased_distilled_squad_qnli_v0_pipeline_en.md
new file mode 100644
index 00000000000000..5c256895fab7c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_cased_distilled_squad_qnli_v0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_cased_distilled_squad_qnli_v0_pipeline pipeline DistilBertForSequenceClassification from HeZhang1019
+author: John Snow Labs
+name: distilbert_base_cased_distilled_squad_qnli_v0_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_distilled_squad_qnli_v0_pipeline` is a English model originally trained by HeZhang1019.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_distilled_squad_qnli_v0_pipeline_en_5.5.0_3.0_1726585000591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_distilled_squad_qnli_v0_pipeline_en_5.5.0_3.0_1726585000591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_cased_distilled_squad_qnli_v0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_cased_distilled_squad_qnli_v0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_distilled_squad_qnli_v0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/HeZhang1019/distilbert-base-cased-distilled-squad-qnli-v0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_cased_squad_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_cased_squad_v2_pipeline_en.md
new file mode 100644
index 00000000000000..3b866f02f7f04f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_cased_squad_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_cased_squad_v2_pipeline pipeline DistilBertForQuestionAnswering from jysh1023
+author: John Snow Labs
+name: distilbert_base_cased_squad_v2_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_squad_v2_pipeline` is a English model originally trained by jysh1023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_squad_v2_pipeline_en_5.5.0_3.0_1726586761133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_squad_v2_pipeline_en_5.5.0_3.0_1726586761133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_cased_squad_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_cased_squad_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_squad_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/jysh1023/distilbert-base-cased-squad-v2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_1212_test_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_1212_test_pipeline_en.md
new file mode 100644
index 00000000000000..60fc30dfcd7e2e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_1212_test_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_1212_test_pipeline pipeline DistilBertForSequenceClassification from aarnow
+author: John Snow Labs
+name: distilbert_base_uncased_1212_test_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_1212_test_pipeline` is a English model originally trained by aarnow.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_1212_test_pipeline_en_5.5.0_3.0_1726584451972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_1212_test_pipeline_en_5.5.0_3.0_1726584451972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_1212_test_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_1212_test_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_1212_test_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aarnow/distilbert-base-uncased-1212-test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_distilled_squad_finetuned_squad_pminha_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_distilled_squad_finetuned_squad_pminha_pipeline_en.md
new file mode 100644
index 00000000000000..7710d542a584b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_distilled_squad_finetuned_squad_pminha_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_squad_finetuned_squad_pminha_pipeline pipeline DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_squad_finetuned_squad_pminha_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_squad_finetuned_squad_pminha_pipeline` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_squad_finetuned_squad_pminha_pipeline_en_5.5.0_3.0_1726586369444.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_squad_finetuned_squad_pminha_pipeline_en_5.5.0_3.0_1726586369444.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_distilled_squad_finetuned_squad_pminha_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_distilled_squad_finetuned_squad_pminha_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_squad_finetuned_squad_pminha_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|248.8 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-distilled-squad-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_clinc_adriana213_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_clinc_adriana213_pipeline_en.md
new file mode 100644
index 00000000000000..4234afc6432378
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_clinc_adriana213_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_adriana213_pipeline pipeline DistilBertForSequenceClassification from Adriana213
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_adriana213_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_adriana213_pipeline` is a English model originally trained by Adriana213.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_adriana213_pipeline_en_5.5.0_3.0_1726584802670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_adriana213_pipeline_en_5.5.0_3.0_1726584802670.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_adriana213_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_adriana213_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_adriana213_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Adriana213/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_dourc_squad_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_dourc_squad_en.md
new file mode 100644
index 00000000000000..7d27eb04a560d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_dourc_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_dourc_squad DistilBertForQuestionAnswering from suthanhcong
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_dourc_squad
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_dourc_squad` is a English model originally trained by suthanhcong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_dourc_squad_en_5.5.0_3.0_1726574693141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_dourc_squad_en_5.5.0_3.0_1726574693141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_dourc_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/suthanhcong/distilbert-base-uncased-finetuned-DouRC_squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_dourc_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_dourc_squad_pipeline_en.md
new file mode 100644
index 00000000000000..713a4cf937be5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_dourc_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_dourc_squad_pipeline pipeline DistilBertForQuestionAnswering from suthanhcong
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_dourc_squad_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_dourc_squad_pipeline` is a English model originally trained by suthanhcong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_dourc_squad_pipeline_en_5.5.0_3.0_1726574705967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_dourc_squad_pipeline_en_5.5.0_3.0_1726574705967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_dourc_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_dourc_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_dourc_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/suthanhcong/distilbert-base-uncased-finetuned-DouRC_squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_emotion_dommmmmmmmm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_emotion_dommmmmmmmm_pipeline_en.md
new file mode 100644
index 00000000000000..6436029c8ec979
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_emotion_dommmmmmmmm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_dommmmmmmmm_pipeline pipeline DistilBertForSequenceClassification from Dommmmmmmmm
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_dommmmmmmmm_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dommmmmmmmm_pipeline` is a English model originally trained by Dommmmmmmmm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dommmmmmmmm_pipeline_en_5.5.0_3.0_1726593765398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dommmmmmmmm_pipeline_en_5.5.0_3.0_1726593765398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_dommmmmmmmm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_dommmmmmmmm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_dommmmmmmmm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Dommmmmmmmm/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_emotion_thacwn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_emotion_thacwn_pipeline_en.md
new file mode 100644
index 00000000000000..037fe189d44c21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_emotion_thacwn_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_thacwn_pipeline pipeline DistilBertForSequenceClassification from thacwn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_thacwn_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_thacwn_pipeline` is a English model originally trained by thacwn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thacwn_pipeline_en_5.5.0_3.0_1726584588857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thacwn_pipeline_en_5.5.0_3.0_1726584588857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_thacwn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_thacwn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_thacwn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thacwn/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_pfe_projectt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_pfe_projectt_pipeline_en.md
new file mode 100644
index 00000000000000..9817216b47ce35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_pfe_projectt_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_pfe_projectt_pipeline pipeline DistilBertForQuestionAnswering from onsba
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_pfe_projectt_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_pfe_projectt_pipeline` is a English model originally trained by onsba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pfe_projectt_pipeline_en_5.5.0_3.0_1726555560311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pfe_projectt_pipeline_en_5.5.0_3.0_1726555560311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_pfe_projectt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_pfe_projectt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_pfe_projectt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/onsba/distilbert-base-uncased-finetuned-pfe-projectt
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_d5716d28_justin_2024_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_d5716d28_justin_2024_pipeline_en.md
new file mode 100644
index 00000000000000..dd2469dd337c8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_d5716d28_justin_2024_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_justin_2024_pipeline pipeline DistilBertForQuestionAnswering from Justin-2024
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_justin_2024_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_justin_2024_pipeline` is a English model originally trained by Justin-2024.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_justin_2024_pipeline_en_5.5.0_3.0_1726599959259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_justin_2024_pipeline_en_5.5.0_3.0_1726599959259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_justin_2024_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_justin_2024_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_justin_2024_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Justin-2024/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_d5716d28_turka_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_d5716d28_turka_en.md
new file mode 100644
index 00000000000000..760beed3ebd1ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_d5716d28_turka_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_turka DistilBertForQuestionAnswering from Turka
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_turka
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_turka` is a English model originally trained by Turka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_turka_en_5.5.0_3.0_1726574794576.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_turka_en_5.5.0_3.0_1726574794576.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_turka|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Turka/distilbert-base-uncased-finetuned-squad-d5716d28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_dohkim_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_dohkim_pipeline_en.md
new file mode 100644
index 00000000000000..55d07424270de3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_dohkim_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_dohkim_pipeline pipeline DistilBertForQuestionAnswering from Dohkim
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_dohkim_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_dohkim_pipeline` is a English model originally trained by Dohkim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_dohkim_pipeline_en_5.5.0_3.0_1726586490716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_dohkim_pipeline_en_5.5.0_3.0_1726586490716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_dohkim_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_dohkim_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_dohkim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Dohkim/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_ezcufe_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_ezcufe_en.md
new file mode 100644
index 00000000000000..c8a8bbdc3bf695
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_ezcufe_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_ezcufe BertForQuestionAnswering from AliHashish
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_ezcufe
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_ezcufe` is a English model originally trained by AliHashish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_ezcufe_en_5.5.0_3.0_1726590519604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_ezcufe_en_5.5.0_3.0_1726590519604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_hotsnow199|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/hotsnow199/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_karunac_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_karunac_pipeline_en.md
new file mode 100644
index 00000000000000..1e601fb729020f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_karunac_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_karunac_pipeline pipeline DistilBertForQuestionAnswering from karunac
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_karunac_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_karunac_pipeline` is a English model originally trained by karunac.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_karunac_pipeline_en_5.5.0_3.0_1726574736823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_karunac_pipeline_en_5.5.0_3.0_1726574736823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_karunac_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_karunac_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_karunac_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/karunac/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_thsohn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_thsohn_pipeline_en.md
new file mode 100644
index 00000000000000..91d39d997c0912
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_thsohn_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_thsohn_pipeline pipeline DistilBertForQuestionAnswering from thsohn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_thsohn_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_thsohn_pipeline` is a English model originally trained by thsohn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_thsohn_pipeline_en_5.5.0_3.0_1726555464520.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_thsohn_pipeline_en_5.5.0_3.0_1726555464520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_thsohn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_thsohn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_thsohn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/thsohn/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_tuts2024_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_tuts2024_pipeline_en.md
new file mode 100644
index 00000000000000..ef3bd43e6c4061
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_tuts2024_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_tuts2024_pipeline pipeline DistilBertForQuestionAnswering from tuts2024
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_tuts2024_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_tuts2024_pipeline` is a English model originally trained by tuts2024.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_tuts2024_pipeline_en_5.5.0_3.0_1726574728952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_tuts2024_pipeline_en_5.5.0_3.0_1726574728952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_tuts2024_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_tuts2024_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_tuts2024_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/tuts2024/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squadv2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squadv2_pipeline_en.md
new file mode 100644
index 00000000000000..d26a4145094600
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squadv2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squadv2_pipeline pipeline DistilBertForQuestionAnswering from jstotz64
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squadv2_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squadv2_pipeline` is a English model originally trained by jstotz64.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squadv2_pipeline_en_5.5.0_3.0_1726555694552.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squadv2_pipeline_en_5.5.0_3.0_1726555694552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squadv2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squadv2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squadv2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/jstotz64/distilbert-base-uncased-finetuned-squadv2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_kallidavidson_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_kallidavidson_en.md
new file mode 100644
index 00000000000000..ea6241f88b2cb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_kallidavidson_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_kallidavidson DistilBertForQuestionAnswering from kallidavidson
+author: John Snow Labs
+name: distilbert_base_uncased_kallidavidson
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_kallidavidson` is a English model originally trained by kallidavidson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_kallidavidson_en_5.5.0_3.0_1726586574718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_kallidavidson_en_5.5.0_3.0_1726586574718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_qa_model_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/hcy5561/distilbert-base-uncased-qa-model-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_qa_model_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_qa_model_v1_pipeline_en.md
new file mode 100644
index 00000000000000..e93b29cc5766ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_qa_model_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_qa_model_v1_pipeline pipeline DistilBertForQuestionAnswering from hcy5561
+author: John Snow Labs
+name: distilbert_base_uncased_qa_model_v1_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_qa_model_v1_pipeline` is a English model originally trained by hcy5561.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_qa_model_v1_pipeline_en_5.5.0_3.0_1726586575154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_qa_model_v1_pipeline_en_5.5.0_3.0_1726586575154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_qa_model_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_qa_model_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_qa_model_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/hcy5561/distilbert-base-uncased-qa-model-v1
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p30_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p30_pipeline_en.md
new file mode 100644
index 00000000000000..809f6c4b33a19b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p30_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_p30_pipeline pipeline DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_p30_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_p30_pipeline` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p30_pipeline_en_5.5.0_3.0_1726599902740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p30_pipeline_en_5.5.0_3.0_1726599902740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_squad2_p30_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_squad2_p30_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_p30_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|213.1 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-p30
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p50_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p50_pipeline_en.md
new file mode 100644
index 00000000000000..4a078ce421e3ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p50_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_p50_pipeline pipeline DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_p50_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_p50_pipeline` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p50_pipeline_en_5.5.0_3.0_1726574550191.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p50_pipeline_en_5.5.0_3.0_1726574550191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_squad2_p50_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_squad2_p50_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_p50_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|185.2 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-p50
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p60_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p60_pipeline_en.md
new file mode 100644
index 00000000000000..2e9c3278db775a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p60_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_p60_pipeline pipeline DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_p60_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_p60_pipeline` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p60_pipeline_en_5.5.0_3.0_1726555237233.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p60_pipeline_en_5.5.0_3.0_1726555237233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_squad2_p60_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_squad2_p60_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_p60_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|170.3 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-p60
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_pruned_p25_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_pruned_p25_pipeline_en.md
new file mode 100644
index 00000000000000..de1f398dd69080
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_pruned_p25_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_pruned_p25_pipeline pipeline DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_pruned_p25_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_pruned_p25_pipeline` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_pruned_p25_pipeline_en_5.5.0_3.0_1726586628150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_pruned_p25_pipeline_en_5.5.0_3.0_1726586628150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_squad2_pruned_p25_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_squad2_pruned_p25_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_pruned_p25_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|219.6 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-pruned-p25
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_pruned_p35_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_pruned_p35_en.md
new file mode 100644
index 00000000000000..c87f413ea70602
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_pruned_p35_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_pruned_p35 DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_pruned_p35
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_pruned_p35` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_pruned_p35_en_5.5.0_3.0_1726555869596.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_pruned_p35_en_5.5.0_3.0_1726555869596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_pruned_p35|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|206.5 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-pruned-p35
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_finetuned_squad_accelerate_augmented_full_v4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_finetuned_squad_accelerate_augmented_full_v4_pipeline_en.md
new file mode 100644
index 00000000000000..b6616c76fa9158
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_finetuned_squad_accelerate_augmented_full_v4_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_finetuned_squad_accelerate_augmented_full_v4_pipeline pipeline DistilBertForQuestionAnswering from christti
+author: John Snow Labs
+name: distilbert_finetuned_squad_accelerate_augmented_full_v4_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_squad_accelerate_augmented_full_v4_pipeline` is a English model originally trained by christti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squad_accelerate_augmented_full_v4_pipeline_en_5.5.0_3.0_1726555785440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squad_accelerate_augmented_full_v4_pipeline_en_5.5.0_3.0_1726555785440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_squad_accelerate_augmented_full_v4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_squad_accelerate_augmented_full_v4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_squad_accelerate_augmented_full_v4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/christti/distilbert-finetuned-squad-accelerate-augmented-full-v4
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_finetuned_squad_v2_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_finetuned_squad_v2_en.md
new file mode 100644
index 00000000000000..e8054e24a825cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_finetuned_squad_v2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_finetuned_squad_v2 DistilBertForQuestionAnswering from quynguyen1704
+author: John Snow Labs
+name: distilbert_finetuned_squad_v2
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_squad_v2` is a English model originally trained by quynguyen1704.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squad_v2_en_5.5.0_3.0_1726555217082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squad_v2_en_5.5.0_3.0_1726555217082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_squad_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/quynguyen1704/distilbert-finetuned-squad_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_imdb_naive_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_imdb_naive_en.md
new file mode 100644
index 00000000000000..3d585bd284c611
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_imdb_naive_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_imdb_naive DistilBertForSequenceClassification from AmritaBh
+author: John Snow Labs
+name: distilbert_imdb_naive
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_naive` is a English model originally trained by AmritaBh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_naive_en_5.5.0_3.0_1726593848604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_naive_en_5.5.0_3.0_1726593848604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_naive|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AmritaBh/distilbert-imdb-naive
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_imdb_naive_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_imdb_naive_pipeline_en.md
new file mode 100644
index 00000000000000..c0105e51b037fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_imdb_naive_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_imdb_naive_pipeline pipeline DistilBertForSequenceClassification from AmritaBh
+author: John Snow Labs
+name: distilbert_imdb_naive_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_naive_pipeline` is a English model originally trained by AmritaBh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_naive_pipeline_en_5.5.0_3.0_1726593861755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_naive_pipeline_en_5.5.0_3.0_1726593861755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_imdb_naive_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_imdb_naive_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_naive_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AmritaBh/distilbert-imdb-naive
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_kasuletrevor_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_kasuletrevor_en.md
new file mode 100644
index 00000000000000..69a8c78064c211
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_kasuletrevor_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_kasuletrevor DistilBertForSequenceClassification from KasuleTrevor
+author: John Snow Labs
+name: distilbert_kasuletrevor
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_kasuletrevor` is a English model originally trained by KasuleTrevor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_kasuletrevor_en_5.5.0_3.0_1726584380804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_kasuletrevor_en_5.5.0_3.0_1726584380804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_kasuletrevor|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KasuleTrevor/distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_kasuletrevor_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_kasuletrevor_pipeline_en.md
new file mode 100644
index 00000000000000..c7a522986ecf94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_kasuletrevor_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_kasuletrevor_pipeline pipeline DistilBertForSequenceClassification from KasuleTrevor
+author: John Snow Labs
+name: distilbert_kasuletrevor_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_kasuletrevor_pipeline` is a English model originally trained by KasuleTrevor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_kasuletrevor_pipeline_en_5.5.0_3.0_1726584393148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_kasuletrevor_pipeline_en_5.5.0_3.0_1726584393148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_kasuletrevor_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_kasuletrevor_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_kasuletrevor_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KasuleTrevor/distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbertfinetunehs3e8b_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbertfinetunehs3e8b_en.md
new file mode 100644
index 00000000000000..2475966275cac2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbertfinetunehs3e8b_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbertfinetunehs3e8b DistilBertForQuestionAnswering from KarthikAlagarsamy
+author: John Snow Labs
+name: distilbertfinetunehs3e8b
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbertfinetunehs3e8b` is a English model originally trained by KarthikAlagarsamy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbertfinetunehs3e8b_en_5.5.0_3.0_1726555332133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbertfinetunehs3e8b_en_5.5.0_3.0_1726555332133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbertfinetunehs3e8b|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/KarthikAlagarsamy/distilbertfinetuneHS3E8B
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilroberta_base_ft_tifu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilroberta_base_ft_tifu_pipeline_en.md
new file mode 100644
index 00000000000000..4bbe91aa726699
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilroberta_base_ft_tifu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_ft_tifu_pipeline pipeline RoBertaEmbeddings from jkruk
+author: John Snow Labs
+name: distilroberta_base_ft_tifu_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_ft_tifu_pipeline` is a English model originally trained by jkruk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_ft_tifu_pipeline_en_5.5.0_3.0_1726602946452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_ft_tifu_pipeline_en_5.5.0_3.0_1726602946452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_ft_tifu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_ft_tifu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_ft_tifu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/jkruk/distilroberta-base-ft-tifu
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-extract_answer_from_text_en.md b/docs/_posts/ahmedlone127/2024-09-17-extract_answer_from_text_en.md
new file mode 100644
index 00000000000000..14c190d9a2b146
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-extract_answer_from_text_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English extract_answer_from_text DistilBertForQuestionAnswering from wdavies
+author: John Snow Labs
+name: extract_answer_from_text
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`extract_answer_from_text` is a English model originally trained by wdavies.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/extract_answer_from_text_en_5.5.0_3.0_1726586427974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/extract_answer_from_text_en_5.5.0_3.0_1726586427974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|extract_answer_from_text|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/wdavies/extract-answer-from-text
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-extract_answer_from_text_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-extract_answer_from_text_pipeline_en.md
new file mode 100644
index 00000000000000..5b481e8acda1fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-extract_answer_from_text_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English extract_answer_from_text_pipeline pipeline DistilBertForQuestionAnswering from wdavies
+author: John Snow Labs
+name: extract_answer_from_text_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`extract_answer_from_text_pipeline` is a English model originally trained by wdavies.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/extract_answer_from_text_pipeline_en_5.5.0_3.0_1726586440501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/extract_answer_from_text_pipeline_en_5.5.0_3.0_1726586440501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("extract_answer_from_text_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("extract_answer_from_text_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|extract_answer_from_text_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/wdavies/extract-answer-from-text
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-fake_news_classifier_draip_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-fake_news_classifier_draip_pipeline_en.md
new file mode 100644
index 00000000000000..0db90bc69ac971
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-fake_news_classifier_draip_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fake_news_classifier_draip_pipeline pipeline DistilBertForSequenceClassification from DraiP
+author: John Snow Labs
+name: fake_news_classifier_draip_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_classifier_draip_pipeline` is a English model originally trained by DraiP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_classifier_draip_pipeline_en_5.5.0_3.0_1726584695895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_classifier_draip_pipeline_en_5.5.0_3.0_1726584695895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fake_news_classifier_draip_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fake_news_classifier_draip_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_classifier_draip_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DraiP/Fake_News_Classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-fdistilbert_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-17-fdistilbert_base_uncased_finetuned_squad_en.md
new file mode 100644
index 00000000000000..62c648355b8878
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-fdistilbert_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English fdistilbert_base_uncased_finetuned_squad DistilBertForQuestionAnswering from Kamaljp
+author: John Snow Labs
+name: fdistilbert_base_uncased_finetuned_squad
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fdistilbert_base_uncased_finetuned_squad` is a English model originally trained by Kamaljp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fdistilbert_base_uncased_finetuned_squad_en_5.5.0_3.0_1726574819140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fdistilbert_base_uncased_finetuned_squad_en_5.5.0_3.0_1726574819140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fdistilbert_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Kamaljp/fdistilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-final_ft__roberta_base_bne__70k_ultrasounds_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-final_ft__roberta_base_bne__70k_ultrasounds_pipeline_en.md
new file mode 100644
index 00000000000000..7fb65e69884196
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-final_ft__roberta_base_bne__70k_ultrasounds_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English final_ft__roberta_base_bne__70k_ultrasounds_pipeline pipeline RoBertaEmbeddings from manucos
+author: John Snow Labs
+name: final_ft__roberta_base_bne__70k_ultrasounds_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`final_ft__roberta_base_bne__70k_ultrasounds_pipeline` is a English model originally trained by manucos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/final_ft__roberta_base_bne__70k_ultrasounds_pipeline_en_5.5.0_3.0_1726595844500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/final_ft__roberta_base_bne__70k_ultrasounds_pipeline_en_5.5.0_3.0_1726595844500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("final_ft__roberta_base_bne__70k_ultrasounds_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("final_ft__roberta_base_bne__70k_ultrasounds_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|final_ft__roberta_base_bne__70k_ultrasounds_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.7 MB|
+
+## References
+
+https://huggingface.co/manucos/final-ft__roberta-base-bne__70k-ultrasounds
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-fine_tuned_roberta_yt_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-fine_tuned_roberta_yt_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..6bec4a95f86b37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-fine_tuned_roberta_yt_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tuned_roberta_yt_sentiment_pipeline pipeline RoBertaForSequenceClassification from roycett
+author: John Snow Labs
+name: fine_tuned_roberta_yt_sentiment_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_roberta_yt_sentiment_pipeline` is a English model originally trained by roycett.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_roberta_yt_sentiment_pipeline_en_5.5.0_3.0_1726591284364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_roberta_yt_sentiment_pipeline_en_5.5.0_3.0_1726591284364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_roberta_yt_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_roberta_yt_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_roberta_yt_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/roycett/fine-tuned-roberta-yt-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-finetuned_bert_model_squad_datset_en.md b/docs/_posts/ahmedlone127/2024-09-17-finetuned_bert_model_squad_datset_en.md
new file mode 100644
index 00000000000000..0a3ae880533ea8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-finetuned_bert_model_squad_datset_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English finetuned_bert_model_squad_datset DistilBertForQuestionAnswering from AlyGreo
+author: John Snow Labs
+name: finetuned_bert_model_squad_datset
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_bert_model_squad_datset` is a English model originally trained by AlyGreo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_model_squad_datset_en_5.5.0_3.0_1726555331817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_model_squad_datset_en_5.5.0_3.0_1726555331817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_model_squad_datset|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/AlyGreo/finetuned-bert-model-squad-datset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-finetuning_sentiment_model_3000_samples_5_en.md b/docs/_posts/ahmedlone127/2024-09-17-finetuning_sentiment_model_3000_samples_5_en.md
new file mode 100644
index 00000000000000..8402b0bfb2779e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-finetuning_sentiment_model_3000_samples_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_5 DistilBertForSequenceClassification from mamledes
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_5
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_5` is a English model originally trained by mamledes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_5_en_5.5.0_3.0_1726594055316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_5_en_5.5.0_3.0_1726594055316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mamledes/finetuning-sentiment-model-3000-samples_5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-finetuning_sentiment_model_3000_samples_ganeshglitz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-finetuning_sentiment_model_3000_samples_ganeshglitz_pipeline_en.md
new file mode 100644
index 00000000000000..5c1a6da1a9e22e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-finetuning_sentiment_model_3000_samples_ganeshglitz_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_ganeshglitz_pipeline pipeline DistilBertForSequenceClassification from ganeshglitz
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_ganeshglitz_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ganeshglitz_pipeline` is a English model originally trained by ganeshglitz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ganeshglitz_pipeline_en_5.5.0_3.0_1726593976090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ganeshglitz_pipeline_en_5.5.0_3.0_1726593976090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_ganeshglitz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_ganeshglitz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_ganeshglitz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ganeshglitz/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-ft_mod_all_en.md b/docs/_posts/ahmedlone127/2024-09-17-ft_mod_all_en.md
new file mode 100644
index 00000000000000..133b4c7bc2599b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-ft_mod_all_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English ft_mod_all DistilBertForQuestionAnswering from Saty2hoty
+author: John Snow Labs
+name: ft_mod_all
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ft_mod_all` is a English model originally trained by Saty2hoty.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ft_mod_all_en_5.5.0_3.0_1726586385652.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ft_mod_all_en_5.5.0_3.0_1726586385652.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ft_mod_all|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Saty2hoty/FT_mod_all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-hate_speech_detection_tweets_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-hate_speech_detection_tweets_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..37a654857a8be2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-hate_speech_detection_tweets_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_speech_detection_tweets_roberta_base_pipeline pipeline RoBertaForSequenceClassification from Arvnd03
+author: John Snow Labs
+name: hate_speech_detection_tweets_roberta_base_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_speech_detection_tweets_roberta_base_pipeline` is a English model originally trained by Arvnd03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_speech_detection_tweets_roberta_base_pipeline_en_5.5.0_3.0_1726573606600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_speech_detection_tweets_roberta_base_pipeline_en_5.5.0_3.0_1726573606600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_speech_detection_tweets_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_speech_detection_tweets_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_speech_detection_tweets_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|455.6 MB|
+
+## References
+
+https://huggingface.co/Arvnd03/Hate-Speech-Detection-Tweets-RoBERTa-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-helsinki_danish_swedish_v13_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-helsinki_danish_swedish_v13_pipeline_en.md
new file mode 100644
index 00000000000000..69e00a41f27a5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-helsinki_danish_swedish_v13_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English helsinki_danish_swedish_v13_pipeline pipeline MarianTransformer from Danieljacobsen
+author: John Snow Labs
+name: helsinki_danish_swedish_v13_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`helsinki_danish_swedish_v13_pipeline` is a English model originally trained by Danieljacobsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helsinki_danish_swedish_v13_pipeline_en_5.5.0_3.0_1726532864934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helsinki_danish_swedish_v13_pipeline_en_5.5.0_3.0_1726532864934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("helsinki_danish_swedish_v13_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("helsinki_danish_swedish_v13_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helsinki_danish_swedish_v13_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|497.3 MB|
+
+## References
+
+https://huggingface.co/Danieljacobsen/Helsinki-DA-SV-v13
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-lab2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-lab2_pipeline_en.md
new file mode 100644
index 00000000000000..837c38c8791cd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-lab2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English lab2_pipeline pipeline WhisperForCTC from WayneLinn
+author: John Snow Labs
+name: lab2_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab2_pipeline` is a English model originally trained by WayneLinn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab2_pipeline_en_5.5.0_3.0_1726542174729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab2_pipeline_en_5.5.0_3.0_1726542174729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lab2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lab2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/WayneLinn/Lab2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-lr1e5_bs32_distilbert_qa_pytorch_full_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-lr1e5_bs32_distilbert_qa_pytorch_full_pipeline_en.md
new file mode 100644
index 00000000000000..dbf91198d67c66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-lr1e5_bs32_distilbert_qa_pytorch_full_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English lr1e5_bs32_distilbert_qa_pytorch_full_pipeline pipeline DistilBertForQuestionAnswering from tyavika
+author: John Snow Labs
+name: lr1e5_bs32_distilbert_qa_pytorch_full_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lr1e5_bs32_distilbert_qa_pytorch_full_pipeline` is a English model originally trained by tyavika.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lr1e5_bs32_distilbert_qa_pytorch_full_pipeline_en_5.5.0_3.0_1726586374669.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lr1e5_bs32_distilbert_qa_pytorch_full_pipeline_en_5.5.0_3.0_1726586374669.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lr1e5_bs32_distilbert_qa_pytorch_full_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lr1e5_bs32_distilbert_qa_pytorch_full_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lr1e5_bs32_distilbert_qa_pytorch_full_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/tyavika/LR1E5_BS32_Distilbert-QA-Pytorch-FULL
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-maltese_align_finetuned_lst_english_tonga_tonga_islands_thai_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-maltese_align_finetuned_lst_english_tonga_tonga_islands_thai_pipeline_en.md
new file mode 100644
index 00000000000000..92545dc1f87433
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-maltese_align_finetuned_lst_english_tonga_tonga_islands_thai_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English maltese_align_finetuned_lst_english_tonga_tonga_islands_thai_pipeline pipeline MarianTransformer from saksornr
+author: John Snow Labs
+name: maltese_align_finetuned_lst_english_tonga_tonga_islands_thai_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`maltese_align_finetuned_lst_english_tonga_tonga_islands_thai_pipeline` is a English model originally trained by saksornr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/maltese_align_finetuned_lst_english_tonga_tonga_islands_thai_pipeline_en_5.5.0_3.0_1726581893298.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maltese_align_finetuned_lst_english_tonga_tonga_islands_thai_pipeline_en_5.5.0_3.0_1726581893298.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("maltese_align_finetuned_lst_english_tonga_tonga_islands_thai_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("maltese_align_finetuned_lst_english_tonga_tonga_islands_thai_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maltese_align_finetuned_lst_english_tonga_tonga_islands_thai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|530.8 MB|
+
+## References
+
+https://huggingface.co/saksornr/mt-align-finetuned-LST-en-to-th
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_jakeyunwookim_en.md b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_jakeyunwookim_en.md
new file mode 100644
index 00000000000000..7bc1c63c5fd16a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_jakeyunwookim_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_jakeyunwookim MarianTransformer from JakeYunwooKim
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_jakeyunwookim
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_jakeyunwookim` is a English model originally trained by JakeYunwooKim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_jakeyunwookim_en_5.5.0_3.0_1726532833205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_jakeyunwookim_en_5.5.0_3.0_1726532833205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_jakeyunwookim|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.2 MB|
+
+## References
+
+https://huggingface.co/JakeYunwooKim/marian-finetuned-kde4-en-to-fr-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_mriggs_en.md b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_mriggs_en.md
new file mode 100644
index 00000000000000..1496acd601600a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_mriggs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_mriggs MarianTransformer from mriggs
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_mriggs
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_mriggs` is a English model originally trained by mriggs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_mriggs_en_5.5.0_3.0_1726582030697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_mriggs_en_5.5.0_3.0_1726582030697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_mriggs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.2 MB|
+
+## References
+
+https://huggingface.co/mriggs/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-marianmt_bislama_dev_rom_tagalog_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-17-marianmt_bislama_dev_rom_tagalog_pipeline_hi.md
new file mode 100644
index 00000000000000..3433c695c79ceb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-marianmt_bislama_dev_rom_tagalog_pipeline_hi.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Hindi marianmt_bislama_dev_rom_tagalog_pipeline pipeline MarianTransformer from ar5entum
+author: John Snow Labs
+name: marianmt_bislama_dev_rom_tagalog_pipeline
+date: 2024-09-17
+tags: [hi, open_source, pipeline, onnx]
+task: Translation
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marianmt_bislama_dev_rom_tagalog_pipeline` is a Hindi model originally trained by ar5entum.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marianmt_bislama_dev_rom_tagalog_pipeline_hi_5.5.0_3.0_1726598996827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marianmt_bislama_dev_rom_tagalog_pipeline_hi_5.5.0_3.0_1726598996827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marianmt_bislama_dev_rom_tagalog_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marianmt_bislama_dev_rom_tagalog_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marianmt_bislama_dev_rom_tagalog_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|519.0 MB|
+
+## References
+
+https://huggingface.co/ar5entum/marianMT_bi_dev_rom_tl
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-melbert_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-17-melbert_roberta_en.md
new file mode 100644
index 00000000000000..6e56dcfbfe7993
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-melbert_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English melbert_roberta RoBertaEmbeddings from EhsanAghazadeh
+author: John Snow Labs
+name: melbert_roberta
+date: 2024-09-17
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`melbert_roberta` is a English model originally trained by EhsanAghazadeh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/melbert_roberta_en_5.5.0_3.0_1726595435864.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/melbert_roberta_en_5.5.0_3.0_1726595435864.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mnli_6_var33_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|460.3 MB|
+
+## References
+
+https://huggingface.co/mahdiyar/mnli-6-var33-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-modeltest_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-modeltest_pipeline_en.md
new file mode 100644
index 00000000000000..ad35e42bb5477c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-modeltest_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English modeltest_pipeline pipeline DistilBertForSequenceClassification from pranay143342
+author: John Snow Labs
+name: modeltest_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modeltest_pipeline` is a English model originally trained by pranay143342.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modeltest_pipeline_en_5.5.0_3.0_1726584975910.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modeltest_pipeline_en_5.5.0_3.0_1726584975910.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("modeltest_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("modeltest_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modeltest_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/pranay143342/modeltest
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-mt5_rouge_durga_2_en.md b/docs/_posts/ahmedlone127/2024-09-17-mt5_rouge_durga_2_en.md
new file mode 100644
index 00000000000000..7cb049f090275e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-mt5_rouge_durga_2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English mt5_rouge_durga_2 T5Transformer from devagonal
+author: John Snow Labs
+name: mt5_rouge_durga_2
+date: 2024-09-17
+tags: [en, open_source, onnx, t5, question_answering, summarization, translation, text_generation]
+task: [Question Answering, Summarization, Translation, Text Generation]
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: T5Transformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained T5Transformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mt5_rouge_durga_2` is a English model originally trained by devagonal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mt5_rouge_durga_2_en_5.5.0_3.0_1726585949872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mt5_rouge_durga_2_en_5.5.0_3.0_1726585949872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mt5_rouge_durga_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[output]|
+|Language:|en|
+|Size:|2.2 GB|
+
+## References
+
+https://huggingface.co/devagonal/mt5-rouge-durga-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-n_distilbert_imdb_padding70model_en.md b/docs/_posts/ahmedlone127/2024-09-17-n_distilbert_imdb_padding70model_en.md
new file mode 100644
index 00000000000000..4f95fac8128789
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-n_distilbert_imdb_padding70model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_distilbert_imdb_padding70model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_distilbert_imdb_padding70model
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_distilbert_imdb_padding70model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_distilbert_imdb_padding70model_en_5.5.0_3.0_1726594109024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_distilbert_imdb_padding70model_en_5.5.0_3.0_1726594109024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_distilbert_imdb_padding70model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_distilbert_imdb_padding70model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-n_distilbert_twitterfin_padding90model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-n_distilbert_twitterfin_padding90model_pipeline_en.md
new file mode 100644
index 00000000000000..6a0fb865c32b9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-n_distilbert_twitterfin_padding90model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_distilbert_twitterfin_padding90model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_distilbert_twitterfin_padding90model_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_distilbert_twitterfin_padding90model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_distilbert_twitterfin_padding90model_pipeline_en_5.5.0_3.0_1726593964597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_distilbert_twitterfin_padding90model_pipeline_en_5.5.0_3.0_1726593964597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_distilbert_twitterfin_padding90model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_distilbert_twitterfin_padding90model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_distilbert_twitterfin_padding90model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_distilbert_twitterfin_padding90model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-northern_sami_roberta2_en.md b/docs/_posts/ahmedlone127/2024-09-17-northern_sami_roberta2_en.md
new file mode 100644
index 00000000000000..430362bdf8c239
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-northern_sami_roberta2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English northern_sami_roberta2 RoBertaForSequenceClassification from James-kc-min
+author: John Snow Labs
+name: northern_sami_roberta2
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`northern_sami_roberta2` is a English model originally trained by James-kc-min.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/northern_sami_roberta2_en_5.5.0_3.0_1726573336225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/northern_sami_roberta2_en_5.5.0_3.0_1726573336225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|openai_tiny_asr_handson|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/pknayak/openai-tiny-asr-handson
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ejembere_en.md b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ejembere_en.md
new file mode 100644
index 00000000000000..2295c63821da27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ejembere_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ejembere MarianTransformer from ejembere
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ejembere
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ejembere` is a English model originally trained by ejembere.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ejembere_en_5.5.0_3.0_1726598941700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ejembere_en_5.5.0_3.0_1726598941700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ejembere|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/ejembere/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_eugenegoncharov_en.md b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_eugenegoncharov_en.md
new file mode 100644
index 00000000000000..6a03f8abadbddf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_eugenegoncharov_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_eugenegoncharov MarianTransformer from eugenegoncharov
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_eugenegoncharov
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_eugenegoncharov` is a English model originally trained by eugenegoncharov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_eugenegoncharov_en_5.5.0_3.0_1726581641585.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_eugenegoncharov_en_5.5.0_3.0_1726581641585.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_eugenegoncharov|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/eugenegoncharov/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_turkic_languages_english_finetuned_npomo_english_15_epochs_en.md b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_turkic_languages_english_finetuned_npomo_english_15_epochs_en.md
new file mode 100644
index 00000000000000..e00573e4fd003c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_turkic_languages_english_finetuned_npomo_english_15_epochs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_turkic_languages_english_finetuned_npomo_english_15_epochs MarianTransformer from UnassumingOwl
+author: John Snow Labs
+name: opus_maltese_turkic_languages_english_finetuned_npomo_english_15_epochs
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_turkic_languages_english_finetuned_npomo_english_15_epochs` is a English model originally trained by UnassumingOwl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_turkic_languages_english_finetuned_npomo_english_15_epochs_en_5.5.0_3.0_1726594713732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_turkic_languages_english_finetuned_npomo_english_15_epochs_en_5.5.0_3.0_1726594713732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_turkic_languages_english_finetuned_npomo_english_15_epochs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|518.9 MB|
+
+## References
+
+https://huggingface.co/UnassumingOwl/opus-mt-trk-en-finetuned-npomo-en-15-epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-pft_clf_finetuned_fa.md b/docs/_posts/ahmedlone127/2024-09-17-pft_clf_finetuned_fa.md
new file mode 100644
index 00000000000000..9796c0874be3c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-pft_clf_finetuned_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian pft_clf_finetuned BertForSequenceClassification from amirhossein1376
+author: John Snow Labs
+name: pft_clf_finetuned
+date: 2024-09-17
+tags: [fa, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pft_clf_finetuned` is a Persian model originally trained by amirhossein1376.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pft_clf_finetuned_fa_5.5.0_3.0_1726604766806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pft_clf_finetuned_fa_5.5.0_3.0_1726604766806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|psst_medium_scrambled_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|4.8 GB|
+
+## References
+
+https://huggingface.co/NathanRoll/psst-medium-scrambled-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-qa_finetuned_distilbert_based_uncased_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-17-qa_finetuned_distilbert_based_uncased_pipeline_ar.md
new file mode 100644
index 00000000000000..0a1a642d56cdb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-qa_finetuned_distilbert_based_uncased_pipeline_ar.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Arabic qa_finetuned_distilbert_based_uncased_pipeline pipeline DistilBertForQuestionAnswering from gp-tar4
+author: John Snow Labs
+name: qa_finetuned_distilbert_based_uncased_pipeline
+date: 2024-09-17
+tags: [ar, open_source, pipeline, onnx]
+task: Question Answering
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_finetuned_distilbert_based_uncased_pipeline` is a Arabic model originally trained by gp-tar4.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_finetuned_distilbert_based_uncased_pipeline_ar_5.5.0_3.0_1726586374332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_finetuned_distilbert_based_uncased_pipeline_ar_5.5.0_3.0_1726586374332.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qa_finetuned_distilbert_based_uncased_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qa_finetuned_distilbert_based_uncased_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_finetuned_distilbert_based_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/gp-tar4/QA_FineTuned_DistilBert-based-uncased
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-qa_model_manikanta_goli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-qa_model_manikanta_goli_pipeline_en.md
new file mode 100644
index 00000000000000..bc6523e376727d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-qa_model_manikanta_goli_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English qa_model_manikanta_goli_pipeline pipeline DistilBertForQuestionAnswering from Manikanta-goli
+author: John Snow Labs
+name: qa_model_manikanta_goli_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_model_manikanta_goli_pipeline` is a English model originally trained by Manikanta-goli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_model_manikanta_goli_pipeline_en_5.5.0_3.0_1726555376924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_model_manikanta_goli_pipeline_en_5.5.0_3.0_1726555376924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qa_model_manikanta_goli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qa_model_manikanta_goli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_model_manikanta_goli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Manikanta-goli/qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-queryner_augmented_data_bert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-queryner_augmented_data_bert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..fea06096d990b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-queryner_augmented_data_bert_base_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English queryner_augmented_data_bert_base_uncased_pipeline pipeline BertForTokenClassification from bltlab
+author: John Snow Labs
+name: queryner_augmented_data_bert_base_uncased_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`queryner_augmented_data_bert_base_uncased_pipeline` is a English model originally trained by bltlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/queryner_augmented_data_bert_base_uncased_pipeline_en_5.5.0_3.0_1726597590079.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/queryner_augmented_data_bert_base_uncased_pipeline_en_5.5.0_3.0_1726597590079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("queryner_augmented_data_bert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("queryner_augmented_data_bert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|queryner_augmented_data_bert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/bltlab/queryner-augmented-data-bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-raydox11_whisper_small_pipeline_tw.md b/docs/_posts/ahmedlone127/2024-09-17-raydox11_whisper_small_pipeline_tw.md
new file mode 100644
index 00000000000000..5aba7da90acbc8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-raydox11_whisper_small_pipeline_tw.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Twi raydox11_whisper_small_pipeline pipeline WhisperForCTC from Raydox10
+author: John Snow Labs
+name: raydox11_whisper_small_pipeline
+date: 2024-09-17
+tags: [tw, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: tw
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`raydox11_whisper_small_pipeline` is a Twi model originally trained by Raydox10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/raydox11_whisper_small_pipeline_tw_5.5.0_3.0_1726549726228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/raydox11_whisper_small_pipeline_tw_5.5.0_3.0_1726549726228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("raydox11_whisper_small_pipeline", lang = "tw")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("raydox11_whisper_small_pipeline", lang = "tw")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|raydox11_whisper_small_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tw|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Raydox10/Raydox11-whisper-small
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-raydox11_whisper_small_tw.md b/docs/_posts/ahmedlone127/2024-09-17-raydox11_whisper_small_tw.md
new file mode 100644
index 00000000000000..7dd28e33a38e38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-raydox11_whisper_small_tw.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Twi raydox11_whisper_small WhisperForCTC from Raydox10
+author: John Snow Labs
+name: raydox11_whisper_small
+date: 2024-09-17
+tags: [tw, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: tw
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`raydox11_whisper_small` is a Twi model originally trained by Raydox10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/raydox11_whisper_small_tw_5.5.0_3.0_1726549641728.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/raydox11_whisper_small_tw_5.5.0_3.0_1726549641728.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_test|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/RamazanGuven/results_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_base_description2genre_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_description2genre_pipeline_en.md
new file mode 100644
index 00000000000000..ae9e7649fb1768
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_description2genre_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_description2genre_pipeline pipeline RoBertaForSequenceClassification from BEE-spoke-data
+author: John Snow Labs
+name: roberta_base_description2genre_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_description2genre_pipeline` is a English model originally trained by BEE-spoke-data.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_description2genre_pipeline_en_5.5.0_3.0_1726590900008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_description2genre_pipeline_en_5.5.0_3.0_1726590900008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_description2genre_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_description2genre_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_description2genre_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|459.0 MB|
+
+## References
+
+https://huggingface.co/BEE-spoke-data/roberta-base-description2genre
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_base_epoch_80_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_epoch_80_pipeline_en.md
new file mode 100644
index 00000000000000..ac48932e427a48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_epoch_80_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_80_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_80_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_80_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_80_pipeline_en_5.5.0_3.0_1726595417651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_80_pipeline_en_5.5.0_3.0_1726595417651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_80_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_80_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_80_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_80
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_base_finetuned_4_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_finetuned_4_en.md
new file mode 100644
index 00000000000000..7f40864978eeb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_finetuned_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_4 RoBertaForSequenceClassification from sara-nabhani
+author: John Snow Labs
+name: roberta_base_finetuned_4
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_4` is a English model originally trained by sara-nabhani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_4_en_5.5.0_3.0_1726591580101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_4_en_5.5.0_3.0_1726591580101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.3 MB|
+
+## References
+
+https://huggingface.co/sara-nabhani/roberta-base-finetuned-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_base_finetuned_squad_ncouro_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_finetuned_squad_ncouro_pipeline_en.md
new file mode 100644
index 00000000000000..a10cff8c45ab21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_finetuned_squad_ncouro_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_base_finetuned_squad_ncouro_pipeline pipeline RoBertaForQuestionAnswering from ncouro
+author: John Snow Labs
+name: roberta_base_finetuned_squad_ncouro_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_squad_ncouro_pipeline` is a English model originally trained by ncouro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_squad_ncouro_pipeline_en_5.5.0_3.0_1726580877275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_squad_ncouro_pipeline_en_5.5.0_3.0_1726580877275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_squad_ncouro_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_squad_ncouro_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_squad_ncouro_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|298.5 MB|
+
+## References
+
+https://huggingface.co/ncouro/roberta-base-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_base_first_5_chars_acl2023_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_first_5_chars_acl2023_en.md
new file mode 100644
index 00000000000000..45a195d4ecc6a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_first_5_chars_acl2023_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_first_5_chars_acl2023 RoBertaEmbeddings from hitachi-nlp
+author: John Snow Labs
+name: roberta_base_first_5_chars_acl2023
+date: 2024-09-17
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_first_5_chars_acl2023` is a English model originally trained by hitachi-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_first_5_chars_acl2023_en_5.5.0_3.0_1726602758098.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_first_5_chars_acl2023_en_5.5.0_3.0_1726602758098.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_last_3_chars_acl2023|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.3 MB|
+
+## References
+
+https://huggingface.co/hitachi-nlp/roberta-base_last-3-chars_acl2023
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_base_last_3_chars_acl2023_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_last_3_chars_acl2023_pipeline_en.md
new file mode 100644
index 00000000000000..f101bde7e7ce38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_last_3_chars_acl2023_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_last_3_chars_acl2023_pipeline pipeline RoBertaEmbeddings from hitachi-nlp
+author: John Snow Labs
+name: roberta_base_last_3_chars_acl2023_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_last_3_chars_acl2023_pipeline` is a English model originally trained by hitachi-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_last_3_chars_acl2023_pipeline_en_5.5.0_3.0_1726603124524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_last_3_chars_acl2023_pipeline_en_5.5.0_3.0_1726603124524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_last_3_chars_acl2023_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_last_3_chars_acl2023_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_last_3_chars_acl2023_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.3 MB|
+
+## References
+
+https://huggingface.co/hitachi-nlp/roberta-base_last-3-chars_acl2023
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_base_sentiment_sst5_mapped_grouped_0_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_sentiment_sst5_mapped_grouped_0_en.md
new file mode 100644
index 00000000000000..85b153c935f41f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_sentiment_sst5_mapped_grouped_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_sentiment_sst5_mapped_grouped_0 RoBertaForSequenceClassification from kohankhaki
+author: John Snow Labs
+name: roberta_base_sentiment_sst5_mapped_grouped_0
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_sentiment_sst5_mapped_grouped_0` is a English model originally trained by kohankhaki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_sentiment_sst5_mapped_grouped_0_en_5.5.0_3.0_1726573727681.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_sentiment_sst5_mapped_grouped_0_en_5.5.0_3.0_1726573727681.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_sentiment_sst5_mapped_grouped_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|424.8 MB|
+
+## References
+
+https://huggingface.co/kohankhaki/roberta-base-sentiment-sst5-mapped-grouped-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_base_sentiment_sst5_mapped_grouped_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_sentiment_sst5_mapped_grouped_0_pipeline_en.md
new file mode 100644
index 00000000000000..07af301279fd72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_sentiment_sst5_mapped_grouped_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_sentiment_sst5_mapped_grouped_0_pipeline pipeline RoBertaForSequenceClassification from kohankhaki
+author: John Snow Labs
+name: roberta_base_sentiment_sst5_mapped_grouped_0_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_sentiment_sst5_mapped_grouped_0_pipeline` is a English model originally trained by kohankhaki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_sentiment_sst5_mapped_grouped_0_pipeline_en_5.5.0_3.0_1726573767020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_sentiment_sst5_mapped_grouped_0_pipeline_en_5.5.0_3.0_1726573767020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_sentiment_sst5_mapped_grouped_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_sentiment_sst5_mapped_grouped_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_sentiment_sst5_mapped_grouped_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|424.8 MB|
+
+## References
+
+https://huggingface.co/kohankhaki/roberta-base-sentiment-sst5-mapped-grouped-0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_dependency_max_4split_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_dependency_max_4split_pipeline_en.md
new file mode 100644
index 00000000000000..0cd6409c8aac9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_dependency_max_4split_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_dependency_max_4split_pipeline pipeline RoBertaEmbeddings from akari000
+author: John Snow Labs
+name: roberta_dependency_max_4split_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_dependency_max_4split_pipeline` is a English model originally trained by akari000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_dependency_max_4split_pipeline_en_5.5.0_3.0_1726595138426.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_dependency_max_4split_pipeline_en_5.5.0_3.0_1726595138426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_dependency_max_4split_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_dependency_max_4split_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_dependency_max_4split_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/akari000/roberta-dependency-max-4split
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_large_unlabeled_gab_reddit_semeval2023_task10_57000sample_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_large_unlabeled_gab_reddit_semeval2023_task10_57000sample_en.md
new file mode 100644
index 00000000000000..54bd8da9a0c03a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_large_unlabeled_gab_reddit_semeval2023_task10_57000sample_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_unlabeled_gab_reddit_semeval2023_task10_57000sample RoBertaEmbeddings from HPL
+author: John Snow Labs
+name: roberta_large_unlabeled_gab_reddit_semeval2023_task10_57000sample
+date: 2024-09-17
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_unlabeled_gab_reddit_semeval2023_task10_57000sample` is a English model originally trained by HPL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_unlabeled_gab_reddit_semeval2023_task10_57000sample_en_5.5.0_3.0_1726595196652.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_unlabeled_gab_reddit_semeval2023_task10_57000sample_en_5.5.0_3.0_1726595196652.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_retrained_russian_covid|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.4 MB|
+
+## References
+
+https://huggingface.co/Daryaflp/roberta-retrained_ru_covid
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_en.md b/docs/_posts/ahmedlone127/2024-09-17-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_en.md
new file mode 100644
index 00000000000000..704b7ff0c6112f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason XlmRoBertaForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason` is a English model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_en_5.5.0_3.0_1726536242324.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_en_5.5.0_3.0_1726536242324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|884.1 MB|
+
+## References
+
+https://huggingface.co/haryoaw/scenario-NON-KD-SCR-D2_data-AmazonScience_massive_all_1_1_betta-jason
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-sent_albert_small_kor_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-sent_albert_small_kor_v1_pipeline_en.md
new file mode 100644
index 00000000000000..78f84e13ed6871
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-sent_albert_small_kor_v1_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_albert_small_kor_v1_pipeline pipeline BertSentenceEmbeddings from bongsoo
+author: John Snow Labs
+name: sent_albert_small_kor_v1_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_albert_small_kor_v1_pipeline` is a English model originally trained by bongsoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_albert_small_kor_v1_pipeline_en_5.5.0_3.0_1726588032285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_albert_small_kor_v1_pipeline_en_5.5.0_3.0_1726588032285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_albert_small_kor_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_albert_small_kor_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_albert_small_kor_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|42.2 MB|
+
+## References
+
+https://huggingface.co/bongsoo/albert-small-kor-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-sent_distilbert_base_uncased_finetuned_the_fire_flower_en.md b/docs/_posts/ahmedlone127/2024-09-17-sent_distilbert_base_uncased_finetuned_the_fire_flower_en.md
new file mode 100644
index 00000000000000..25e60d51ce783e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-sent_distilbert_base_uncased_finetuned_the_fire_flower_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_distilbert_base_uncased_finetuned_the_fire_flower BertSentenceEmbeddings from miggwp
+author: John Snow Labs
+name: sent_distilbert_base_uncased_finetuned_the_fire_flower
+date: 2024-09-17
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_distilbert_base_uncased_finetuned_the_fire_flower` is a English model originally trained by miggwp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_distilbert_base_uncased_finetuned_the_fire_flower_en_5.5.0_3.0_1726587000564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_distilbert_base_uncased_finetuned_the_fire_flower_en_5.5.0_3.0_1726587000564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_distilbert_base_uncased_finetuned_the_fire_flower|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/miggwp/distilbert-base-uncased-finetuned-the-fire-flower
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-sent_mobilebert_add_pre_training_complete_en.md b/docs/_posts/ahmedlone127/2024-09-17-sent_mobilebert_add_pre_training_complete_en.md
new file mode 100644
index 00000000000000..c014c7d2108787
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-sent_mobilebert_add_pre_training_complete_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_mobilebert_add_pre_training_complete BertSentenceEmbeddings from gokuls
+author: John Snow Labs
+name: sent_mobilebert_add_pre_training_complete
+date: 2024-09-17
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_mobilebert_add_pre_training_complete` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_mobilebert_add_pre_training_complete_en_5.5.0_3.0_1726587154490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_mobilebert_add_pre_training_complete_en_5.5.0_3.0_1726587154490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_mobilebert_add_pre_training_complete|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|92.5 MB|
+
+## References
+
+https://huggingface.co/gokuls/mobilebert_add_pre-training-complete
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-sent_mobilebert_add_pre_training_complete_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-sent_mobilebert_add_pre_training_complete_pipeline_en.md
new file mode 100644
index 00000000000000..e12db6eed978e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-sent_mobilebert_add_pre_training_complete_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_mobilebert_add_pre_training_complete_pipeline pipeline BertSentenceEmbeddings from gokuls
+author: John Snow Labs
+name: sent_mobilebert_add_pre_training_complete_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_mobilebert_add_pre_training_complete_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_mobilebert_add_pre_training_complete_pipeline_en_5.5.0_3.0_1726587159573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_mobilebert_add_pre_training_complete_pipeline_en_5.5.0_3.0_1726587159573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_mobilebert_add_pre_training_complete_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_mobilebert_add_pre_training_complete_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_mobilebert_add_pre_training_complete_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|93.0 MB|
+
+## References
+
+https://huggingface.co/gokuls/mobilebert_add_pre-training-complete
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-simcse_finetuned_100k_128batch_en.md b/docs/_posts/ahmedlone127/2024-09-17-simcse_finetuned_100k_128batch_en.md
new file mode 100644
index 00000000000000..d060565931d9ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-simcse_finetuned_100k_128batch_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English simcse_finetuned_100k_128batch RoBertaForSequenceClassification from bitsanlp
+author: John Snow Labs
+name: simcse_finetuned_100k_128batch
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`simcse_finetuned_100k_128batch` is a English model originally trained by bitsanlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/simcse_finetuned_100k_128batch_en_5.5.0_3.0_1726573879142.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/simcse_finetuned_100k_128batch_en_5.5.0_3.0_1726573879142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|simcse_finetuned_100k_128batch|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.0 MB|
+
+## References
+
+https://huggingface.co/bitsanlp/simcse_finetuned_100k_128batch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-small3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-small3_pipeline_en.md
new file mode 100644
index 00000000000000..f866edc667ec16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-small3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English small3_pipeline pipeline BertForTokenClassification from Narsil
+author: John Snow Labs
+name: small3_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`small3_pipeline` is a English model originally trained by Narsil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small3_pipeline_en_5.5.0_3.0_1726608591222.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small3_pipeline_en_5.5.0_3.0_1726608591222.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("small3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("small3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|559.5 KB|
+
+## References
+
+https://huggingface.co/Narsil/small3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-speech_impediment_audio_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-17-speech_impediment_audio_pipeline_ko.md
new file mode 100644
index 00000000000000..d2c00f6845f16f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-speech_impediment_audio_pipeline_ko.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Korean speech_impediment_audio_pipeline pipeline WhisperForCTC from yoona-J
+author: John Snow Labs
+name: speech_impediment_audio_pipeline
+date: 2024-09-17
+tags: [ko, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`speech_impediment_audio_pipeline` is a Korean model originally trained by yoona-J.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/speech_impediment_audio_pipeline_ko_5.5.0_3.0_1726558647622.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/speech_impediment_audio_pipeline_ko_5.5.0_3.0_1726558647622.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("speech_impediment_audio_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("speech_impediment_audio_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|speech_impediment_audio_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|642.4 MB|
+
+## References
+
+https://huggingface.co/yoona-J/speech_impediment_audio
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-squad2_trained_ep4_batch16_finetuned_squad2_emrqa_msquad_en.md b/docs/_posts/ahmedlone127/2024-09-17-squad2_trained_ep4_batch16_finetuned_squad2_emrqa_msquad_en.md
new file mode 100644
index 00000000000000..3d8f61fa1c9657
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-squad2_trained_ep4_batch16_finetuned_squad2_emrqa_msquad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English squad2_trained_ep4_batch16_finetuned_squad2_emrqa_msquad DistilBertForQuestionAnswering from wieheistdu
+author: John Snow Labs
+name: squad2_trained_ep4_batch16_finetuned_squad2_emrqa_msquad
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`squad2_trained_ep4_batch16_finetuned_squad2_emrqa_msquad` is a English model originally trained by wieheistdu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/squad2_trained_ep4_batch16_finetuned_squad2_emrqa_msquad_en_5.5.0_3.0_1726574919908.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/squad2_trained_ep4_batch16_finetuned_squad2_emrqa_msquad_en_5.5.0_3.0_1726574919908.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|squad_mbert_english_german_spanish_vietnamese_chinese_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/ZYW/squad-mbert-en-de-es-vi-zh-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-stego_classifier_checkpoint_epoch_0_2024_07_26_15_06_21_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-stego_classifier_checkpoint_epoch_0_2024_07_26_15_06_21_pipeline_en.md
new file mode 100644
index 00000000000000..bee12c72bf719c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-stego_classifier_checkpoint_epoch_0_2024_07_26_15_06_21_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_0_2024_07_26_15_06_21_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_0_2024_07_26_15_06_21_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_0_2024_07_26_15_06_21_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_0_2024_07_26_15_06_21_pipeline_en_5.5.0_3.0_1726584556781.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_0_2024_07_26_15_06_21_pipeline_en_5.5.0_3.0_1726584556781.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_0_2024_07_26_15_06_21_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_0_2024_07_26_15_06_21_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_0_2024_07_26_15_06_21_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-0-2024-07-26_15-06-21
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-subtopics_roberta_base2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-subtopics_roberta_base2_pipeline_en.md
new file mode 100644
index 00000000000000..586c6a5b9ca68a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-subtopics_roberta_base2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English subtopics_roberta_base2_pipeline pipeline RoBertaForSequenceClassification from RogerKam
+author: John Snow Labs
+name: subtopics_roberta_base2_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`subtopics_roberta_base2_pipeline` is a English model originally trained by RogerKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/subtopics_roberta_base2_pipeline_en_5.5.0_3.0_1726590919238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/subtopics_roberta_base2_pipeline_en_5.5.0_3.0_1726590919238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("subtopics_roberta_base2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("subtopics_roberta_base2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|subtopics_roberta_base2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|429.5 MB|
+
+## References
+
+https://huggingface.co/RogerKam/subTopics-RoBERTa-base2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-swedish_fine_tuned_whisper_model_nadiaholmlund_pipeline_sv.md b/docs/_posts/ahmedlone127/2024-09-17-swedish_fine_tuned_whisper_model_nadiaholmlund_pipeline_sv.md
new file mode 100644
index 00000000000000..593573629b70b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-swedish_fine_tuned_whisper_model_nadiaholmlund_pipeline_sv.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Swedish swedish_fine_tuned_whisper_model_nadiaholmlund_pipeline pipeline WhisperForCTC from NadiaHolmlund
+author: John Snow Labs
+name: swedish_fine_tuned_whisper_model_nadiaholmlund_pipeline
+date: 2024-09-17
+tags: [sv, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: sv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`swedish_fine_tuned_whisper_model_nadiaholmlund_pipeline` is a Swedish model originally trained by NadiaHolmlund.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/swedish_fine_tuned_whisper_model_nadiaholmlund_pipeline_sv_5.5.0_3.0_1726563762798.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/swedish_fine_tuned_whisper_model_nadiaholmlund_pipeline_sv_5.5.0_3.0_1726563762798.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("swedish_fine_tuned_whisper_model_nadiaholmlund_pipeline", lang = "sv")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("swedish_fine_tuned_whisper_model_nadiaholmlund_pipeline", lang = "sv")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|swedish_fine_tuned_whisper_model_nadiaholmlund_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|sv|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/NadiaHolmlund/Swedish_Fine_Tuned_Whisper_Model
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-t2t_bible_portuguese_gun_en.md b/docs/_posts/ahmedlone127/2024-09-17-t2t_bible_portuguese_gun_en.md
new file mode 100644
index 00000000000000..5125bedf045d4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-t2t_bible_portuguese_gun_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English t2t_bible_portuguese_gun MarianTransformer from tiagoblima
+author: John Snow Labs
+name: t2t_bible_portuguese_gun
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t2t_bible_portuguese_gun` is a English model originally trained by tiagoblima.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t2t_bible_portuguese_gun_en_5.5.0_3.0_1726594683898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t2t_bible_portuguese_gun_en_5.5.0_3.0_1726594683898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t2t_bible_portuguese_gun|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|220.6 MB|
+
+## References
+
+https://huggingface.co/tiagoblima/t2t-bible-pt-gun
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-test1_joetan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-test1_joetan_pipeline_en.md
new file mode 100644
index 00000000000000..46ec6f6ddeefbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-test1_joetan_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English test1_joetan_pipeline pipeline WhisperForCTC from JoeTan
+author: John Snow Labs
+name: test1_joetan_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test1_joetan_pipeline` is a English model originally trained by JoeTan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test1_joetan_pipeline_en_5.5.0_3.0_1726568991342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test1_joetan_pipeline_en_5.5.0_3.0_1726568991342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test1_joetan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test1_joetan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test1_joetan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/JoeTan/test1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-test_squad_karin25_en.md b/docs/_posts/ahmedlone127/2024-09-17-test_squad_karin25_en.md
new file mode 100644
index 00000000000000..cb8119849fc9c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-test_squad_karin25_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English test_squad_karin25 DistilBertForQuestionAnswering from karin25
+author: John Snow Labs
+name: test_squad_karin25
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_squad_karin25` is a English model originally trained by karin25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_squad_karin25_en_5.5.0_3.0_1726599782967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_squad_karin25_en_5.5.0_3.0_1726599782967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_squad_karin25|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/karin25/test-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_en.md b/docs/_posts/ahmedlone127/2024-09-17-twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_en.md
new file mode 100644
index 00000000000000..075abc7460b8c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes XlmRoBertaForSequenceClassification from jayantapaul888
+author: John Snow Labs
+name: twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes` is a English model originally trained by jayantapaul888.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_en_5.5.0_3.0_1726535666078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_data_xlm_roberta_base_eng_only_sentiment_finetuned_memes_en_5.5.0_3.0_1726535666078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_full_data_aug_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|642.6 MB|
+
+## References
+
+https://huggingface.co/thanhduycao/whisper-base-full-data-aug-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_base_phon_drive_dataset_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_phon_drive_dataset_large_pipeline_en.md
new file mode 100644
index 00000000000000..ad8f43ab3a0cc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_phon_drive_dataset_large_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_phon_drive_dataset_large_pipeline pipeline WhisperForCTC from dg96
+author: John Snow Labs
+name: whisper_base_phon_drive_dataset_large_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_phon_drive_dataset_large_pipeline` is a English model originally trained by dg96.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_phon_drive_dataset_large_pipeline_en_5.5.0_3.0_1726568333264.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_phon_drive_dataset_large_pipeline_en_5.5.0_3.0_1726568333264.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_phon_drive_dataset_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_phon_drive_dataset_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_phon_drive_dataset_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|643.6 MB|
+
+## References
+
+https://huggingface.co/dg96/whisper-base-phon-drive-dataset-large
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_base_thai_project_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_thai_project_3_pipeline_en.md
new file mode 100644
index 00000000000000..c6cc196834bfe1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_thai_project_3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_thai_project_3_pipeline pipeline WhisperForCTC from Varit
+author: John Snow Labs
+name: whisper_base_thai_project_3_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_thai_project_3_pipeline` is a English model originally trained by Varit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_thai_project_3_pipeline_en_5.5.0_3.0_1726542197973.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_thai_project_3_pipeline_en_5.5.0_3.0_1726542197973.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_thai_project_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_thai_project_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_thai_project_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|641.9 MB|
+
+## References
+
+https://huggingface.co/Varit/whisper-base-th-project-3
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_italian_whispy_it.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_italian_whispy_it.md
new file mode 100644
index 00000000000000..2ff1118cfdefd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_italian_whispy_it.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Italian whisper_italian_whispy WhisperForCTC from whispy
+author: John Snow Labs
+name: whisper_italian_whispy
+date: 2024-09-17
+tags: [it, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_italian_whispy` is a Italian model originally trained by whispy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_italian_whispy_it_5.5.0_3.0_1726543277944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_italian_whispy_it_5.5.0_3.0_1726543277944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_italian_whispy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|it|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/whispy/whisper_italian
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_italian_whispy_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_italian_whispy_pipeline_it.md
new file mode 100644
index 00000000000000..8060d9c8bc3305
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_italian_whispy_pipeline_it.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Italian whisper_italian_whispy_pipeline pipeline WhisperForCTC from whispy
+author: John Snow Labs
+name: whisper_italian_whispy_pipeline
+date: 2024-09-17
+tags: [it, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_italian_whispy_pipeline` is a Italian model originally trained by whispy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_italian_whispy_pipeline_it_5.5.0_3.0_1726543359182.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_italian_whispy_pipeline_it_5.5.0_3.0_1726543359182.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_italian_whispy_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_italian_whispy_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_italian_whispy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/whispy/whisper_italian
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_arabic_bouim_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_arabic_bouim_en.md
new file mode 100644
index 00000000000000..69288748238607
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_arabic_bouim_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_arabic_bouim WhisperForCTC from bouim
+author: John Snow Labs
+name: whisper_small_arabic_bouim
+date: 2024-09-17
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_arabic_bouim` is a English model originally trained by bouim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_bouim_en_5.5.0_3.0_1726572080301.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_bouim_en_5.5.0_3.0_1726572080301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_arabic_bouim|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/bouim/whisper-small-ar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_arabic_bouim_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_arabic_bouim_pipeline_en.md
new file mode 100644
index 00000000000000..14719764095a28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_arabic_bouim_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_arabic_bouim_pipeline pipeline WhisperForCTC from bouim
+author: John Snow Labs
+name: whisper_small_arabic_bouim_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_arabic_bouim_pipeline` is a English model originally trained by bouim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_bouim_pipeline_en_5.5.0_3.0_1726572160274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_bouim_pipeline_en_5.5.0_3.0_1726572160274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_arabic_bouim_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_arabic_bouim_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_arabic_bouim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/bouim/whisper-small-ar
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_bengali_crblp_bn.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_bengali_crblp_bn.md
new file mode 100644
index 00000000000000..ee038953177330
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_bengali_crblp_bn.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Bengali whisper_small_bengali_crblp WhisperForCTC from Rakib
+author: John Snow Labs
+name: whisper_small_bengali_crblp
+date: 2024-09-17
+tags: [bn, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: bn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_bengali_crblp` is a Bengali model originally trained by Rakib.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_bengali_crblp_bn_5.5.0_3.0_1726540813304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_bengali_crblp_bn_5.5.0_3.0_1726540813304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_bengali_crblp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|bn|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Rakib/whisper-small-bn-crblp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_cantonese_chandc_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_cantonese_chandc_pipeline_zh.md
new file mode 100644
index 00000000000000..9aab98dc93475d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_cantonese_chandc_pipeline_zh.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Chinese whisper_small_cantonese_chandc_pipeline pipeline WhisperForCTC from chandc
+author: John Snow Labs
+name: whisper_small_cantonese_chandc_pipeline
+date: 2024-09-17
+tags: [zh, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_cantonese_chandc_pipeline` is a Chinese model originally trained by chandc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_cantonese_chandc_pipeline_zh_5.5.0_3.0_1726556691031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_cantonese_chandc_pipeline_zh_5.5.0_3.0_1726556691031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_cantonese_chandc_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_cantonese_chandc_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_cantonese_chandc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/chandc/whisper-small-Cantonese
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_galician_zuazo_pipeline_gl.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_galician_zuazo_pipeline_gl.md
new file mode 100644
index 00000000000000..41a670a56b8c73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_galician_zuazo_pipeline_gl.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Galician whisper_small_galician_zuazo_pipeline pipeline WhisperForCTC from zuazo
+author: John Snow Labs
+name: whisper_small_galician_zuazo_pipeline
+date: 2024-09-17
+tags: [gl, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: gl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_galician_zuazo_pipeline` is a Galician model originally trained by zuazo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_galician_zuazo_pipeline_gl_5.5.0_3.0_1726547900115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_galician_zuazo_pipeline_gl_5.5.0_3.0_1726547900115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_galician_zuazo_pipeline", lang = "gl")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_galician_zuazo_pipeline", lang = "gl")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_galician_zuazo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|gl|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/zuazo/whisper-small-gl
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hindi_agershun_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hindi_agershun_pipeline_en.md
new file mode 100644
index 00000000000000..56d956e6678453
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hindi_agershun_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_hindi_agershun_pipeline pipeline WhisperForCTC from agershun
+author: John Snow Labs
+name: whisper_small_hindi_agershun_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_agershun_pipeline` is a English model originally trained by agershun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_agershun_pipeline_en_5.5.0_3.0_1726550573212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_agershun_pipeline_en_5.5.0_3.0_1726550573212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_agershun_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_agershun_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_agershun_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/agershun/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hindi_hsyyy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hindi_hsyyy_pipeline_en.md
new file mode 100644
index 00000000000000..9a992fc1a0e946
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hindi_hsyyy_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_hindi_hsyyy_pipeline pipeline WhisperForCTC from hsyyy
+author: John Snow Labs
+name: whisper_small_hindi_hsyyy_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_hsyyy_pipeline` is a English model originally trained by hsyyy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_hsyyy_pipeline_en_5.5.0_3.0_1726562067767.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_hsyyy_pipeline_en_5.5.0_3.0_1726562067767.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_hsyyy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_hsyyy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_hsyyy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/hsyyy/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hindi_tjohanne_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hindi_tjohanne_en.md
new file mode 100644
index 00000000000000..c73770f9dc4f37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hindi_tjohanne_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_hindi_tjohanne WhisperForCTC from tjohanne
+author: John Snow Labs
+name: whisper_small_hindi_tjohanne
+date: 2024-09-17
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_tjohanne` is a English model originally trained by tjohanne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_tjohanne_en_5.5.0_3.0_1726550020728.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_tjohanne_en_5.5.0_3.0_1726550020728.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_tjohanne|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/tjohanne/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hre2_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hre2_1_pipeline_en.md
new file mode 100644
index 00000000000000..d901a3fa2538a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hre2_1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_hre2_1_pipeline pipeline WhisperForCTC from ntviet
+author: John Snow Labs
+name: whisper_small_hre2_1_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hre2_1_pipeline` is a English model originally trained by ntviet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hre2_1_pipeline_en_5.5.0_3.0_1726558332418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hre2_1_pipeline_en_5.5.0_3.0_1726558332418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hre2_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hre2_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hre2_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ntviet/whisper-small-hre2.1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_katti_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_katti_pipeline_en.md
new file mode 100644
index 00000000000000..c92d868f4263ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_katti_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_katti_pipeline pipeline WhisperForCTC from shreyasdesaisuperU
+author: John Snow Labs
+name: whisper_small_katti_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_katti_pipeline` is a English model originally trained by shreyasdesaisuperU.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_katti_pipeline_en_5.5.0_3.0_1726541331250.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_katti_pipeline_en_5.5.0_3.0_1726541331250.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_katti_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_katti_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_katti_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/shreyasdesaisuperU/whisper-small-katti
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_mongolian_7_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_mongolian_7_en.md
new file mode 100644
index 00000000000000..a838cfbc4948f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_mongolian_7_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_mongolian_7 WhisperForCTC from bayartsogt
+author: John Snow Labs
+name: whisper_small_mongolian_7
+date: 2024-09-17
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_mongolian_7` is a English model originally trained by bayartsogt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_mongolian_7_en_5.5.0_3.0_1726571463804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_mongolian_7_en_5.5.0_3.0_1726571463804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_mongolian_7|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/bayartsogt/whisper-small-mn-7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_turkish_cp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_turkish_cp_pipeline_en.md
new file mode 100644
index 00000000000000..f4a7c216b91a6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_turkish_cp_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_turkish_cp_pipeline pipeline WhisperForCTC from Kiwipirate
+author: John Snow Labs
+name: whisper_small_turkish_cp_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_turkish_cp_pipeline` is a English model originally trained by Kiwipirate.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_turkish_cp_pipeline_en_5.5.0_3.0_1726565133277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_turkish_cp_pipeline_en_5.5.0_3.0_1726565133277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_turkish_cp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_turkish_cp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_turkish_cp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Kiwipirate/whisper-small-tr-cp
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_turkish_muhtasham_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_turkish_muhtasham_pipeline_tr.md
new file mode 100644
index 00000000000000..02be842031c644
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_turkish_muhtasham_pipeline_tr.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Turkish whisper_small_turkish_muhtasham_pipeline pipeline WhisperForCTC from muhtasham
+author: John Snow Labs
+name: whisper_small_turkish_muhtasham_pipeline
+date: 2024-09-17
+tags: [tr, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_turkish_muhtasham_pipeline` is a Turkish model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_turkish_muhtasham_pipeline_tr_5.5.0_3.0_1726569287347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_turkish_muhtasham_pipeline_tr_5.5.0_3.0_1726569287347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_turkish_muhtasham_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_turkish_muhtasham_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_turkish_muhtasham_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/muhtasham/whisper-small-tr
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds14_us_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds14_us_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..fbac3268218bf8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds14_us_finetuned_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_minds14_us_finetuned_pipeline pipeline WhisperForCTC from pedroferreira
+author: John Snow Labs
+name: whisper_tiny_minds14_us_finetuned_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds14_us_finetuned_pipeline` is a English model originally trained by pedroferreira.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_us_finetuned_pipeline_en_5.5.0_3.0_1726558857380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_us_finetuned_pipeline_en_5.5.0_3.0_1726558857380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_minds14_us_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_minds14_us_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds14_us_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/pedroferreira/whisper-tiny-minds14-US-finetuned
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-wikidata_researchers_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-wikidata_researchers_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..f318403624d482
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-wikidata_researchers_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English wikidata_researchers_classifier_pipeline pipeline RoBertaForSequenceClassification from matthewleechen
+author: John Snow Labs
+name: wikidata_researchers_classifier_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wikidata_researchers_classifier_pipeline` is a English model originally trained by matthewleechen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wikidata_researchers_classifier_pipeline_en_5.5.0_3.0_1726573880993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wikidata_researchers_classifier_pipeline_en_5.5.0_3.0_1726573880993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("wikidata_researchers_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("wikidata_researchers_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wikidata_researchers_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/matthewleechen/wikidata_researchers_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_final_mixed_aug_swap_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_final_mixed_aug_swap_pipeline_en.md
new file mode 100644
index 00000000000000..2f284419e2d32f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_final_mixed_aug_swap_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_final_mixed_aug_swap_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_mixed_aug_swap_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_mixed_aug_swap_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_swap_pipeline_en_5.5.0_3.0_1726535560878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_swap_pipeline_en_5.5.0_3.0_1726535560878.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_final_mixed_aug_swap_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_final_mixed_aug_swap_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_mixed_aug_swap_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|794.4 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_Mixed-aug_swap
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_arabic_roaaoal_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_arabic_roaaoal_pipeline_en.md
new file mode 100644
index 00000000000000..7c621ab9857f60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_arabic_roaaoal_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_arabic_roaaoal_pipeline pipeline XlmRoBertaForTokenClassification from roaaoal
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_arabic_roaaoal_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_arabic_roaaoal_pipeline` is a English model originally trained by roaaoal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_arabic_roaaoal_pipeline_en_5.5.0_3.0_1726611214676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_arabic_roaaoal_pipeline_en_5.5.0_3.0_1726611214676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_arabic_roaaoal_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_arabic_roaaoal_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_arabic_roaaoal_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|843.7 MB|
+
+## References
+
+https://huggingface.co/roaaoal/xlm-roberta-base-finetuned-panx-ar
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_henryjiang_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_henryjiang_en.md
new file mode 100644
index 00000000000000..77d00abaf7585b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_henryjiang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_henryjiang XlmRoBertaForTokenClassification from henryjiang
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_henryjiang
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_henryjiang` is a English model originally trained by henryjiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_henryjiang_en_5.5.0_3.0_1726611607129.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_henryjiang_en_5.5.0_3.0_1726611607129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_henryjiang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|828.3 MB|
+
+## References
+
+https://huggingface.co/henryjiang/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_henryjiang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_henryjiang_pipeline_en.md
new file mode 100644
index 00000000000000..c0e8a4545d1b0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_henryjiang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_henryjiang_pipeline pipeline XlmRoBertaForTokenClassification from henryjiang
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_henryjiang_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_henryjiang_pipeline` is a English model originally trained by henryjiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_henryjiang_pipeline_en_5.5.0_3.0_1726611698424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_henryjiang_pipeline_en_5.5.0_3.0_1726611698424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_henryjiang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_henryjiang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_henryjiang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|828.4 MB|
+
+## References
+
+https://huggingface.co/henryjiang/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_jaemin12_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_jaemin12_pipeline_en.md
new file mode 100644
index 00000000000000..3fb043da252390
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_jaemin12_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_jaemin12_pipeline pipeline XlmRoBertaForTokenClassification from jaemin12
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_jaemin12_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_jaemin12_pipeline` is a English model originally trained by jaemin12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_jaemin12_pipeline_en_5.5.0_3.0_1726612367840.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_jaemin12_pipeline_en_5.5.0_3.0_1726612367840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_jaemin12_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_jaemin12_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_jaemin12_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/jaemin12/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_sreek_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_sreek_en.md
new file mode 100644
index 00000000000000..719f2eec913938
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_english_sreek_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_sreek XlmRoBertaForTokenClassification from Sreek
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_sreek
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_sreek` is a English model originally trained by Sreek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_sreek_en_5.5.0_3.0_1726575848301.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_sreek_en_5.5.0_3.0_1726575848301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_sreek|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/Sreek/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_french_ashrielbrian_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_french_ashrielbrian_en.md
new file mode 100644
index 00000000000000..8b60415db94c84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_french_ashrielbrian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_ashrielbrian XlmRoBertaForTokenClassification from ashrielbrian
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_ashrielbrian
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_ashrielbrian` is a English model originally trained by ashrielbrian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ashrielbrian_en_5.5.0_3.0_1726576261725.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ashrielbrian_en_5.5.0_3.0_1726576261725.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_ashrielbrian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/ashrielbrian/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_french_kbleejohn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_french_kbleejohn_pipeline_en.md
new file mode 100644
index 00000000000000..8e2fc6e3ec5d88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_french_kbleejohn_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_kbleejohn_pipeline pipeline XlmRoBertaForTokenClassification from kbleejohn
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_kbleejohn_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_kbleejohn_pipeline` is a English model originally trained by kbleejohn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_kbleejohn_pipeline_en_5.5.0_3.0_1726577349485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_kbleejohn_pipeline_en_5.5.0_3.0_1726577349485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_kbleejohn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_kbleejohn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_kbleejohn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/kbleejohn/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_anas1997_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_anas1997_en.md
new file mode 100644
index 00000000000000..58e0ff4479b0d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_anas1997_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_anas1997 XlmRoBertaForTokenClassification from Anas1997
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_anas1997
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_anas1997` is a English model originally trained by Anas1997.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_anas1997_en_5.5.0_3.0_1726611087735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_anas1997_en_5.5.0_3.0_1726611087735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_anas1997|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/Anas1997/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_athairus_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_athairus_pipeline_en.md
new file mode 100644
index 00000000000000..0a1d3820e39988
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_athairus_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_athairus_pipeline pipeline XlmRoBertaForTokenClassification from athairus
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_athairus_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_athairus_pipeline` is a English model originally trained by athairus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_athairus_pipeline_en_5.5.0_3.0_1726611064926.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_athairus_pipeline_en_5.5.0_3.0_1726611064926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_athairus_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_athairus_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_athairus_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/athairus/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_facehugger135_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_facehugger135_pipeline_en.md
new file mode 100644
index 00000000000000..fa77c370f87785
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_facehugger135_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_facehugger135_pipeline pipeline XlmRoBertaForTokenClassification from Facehugger135
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_facehugger135_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_facehugger135_pipeline` is a English model originally trained by Facehugger135.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_facehugger135_pipeline_en_5.5.0_3.0_1726611840083.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_facehugger135_pipeline_en_5.5.0_3.0_1726611840083.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_facehugger135_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_facehugger135_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_facehugger135_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|816.4 MB|
+
+## References
+
+https://huggingface.co/Facehugger135/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_french_param_mehta_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_french_param_mehta_en.md
new file mode 100644
index 00000000000000..7a0b6e0669eb6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_german_french_param_mehta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_param_mehta XlmRoBertaForTokenClassification from param-mehta
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_param_mehta
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_param_mehta` is a English model originally trained by param-mehta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_param_mehta_en_5.5.0_3.0_1726576866814.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_param_mehta_en_5.5.0_3.0_1726576866814.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_param_mehta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|845.6 MB|
+
+## References
+
+https://huggingface.co/param-mehta/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_italian_team_nave_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_italian_team_nave_pipeline_en.md
new file mode 100644
index 00000000000000..0432c3467421ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_finetuned_panx_italian_team_nave_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_team_nave_pipeline pipeline XlmRoBertaForTokenClassification from team-nave
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_team_nave_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_team_nave_pipeline` is a English model originally trained by team-nave.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_team_nave_pipeline_en_5.5.0_3.0_1726612713401.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_team_nave_pipeline_en_5.5.0_3.0_1726612713401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_team_nave_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_team_nave_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_team_nave_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.5 MB|
+
+## References
+
+https://huggingface.co/team-nave/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_operator_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_operator_pipeline_en.md
new file mode 100644
index 00000000000000..8ec15af19e3b71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_operator_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_operator_pipeline pipeline XlmRoBertaForSequenceClassification from DanLee6507
+author: John Snow Labs
+name: xlm_roberta_base_operator_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_operator_pipeline` is a English model originally trained by DanLee6507.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_operator_pipeline_en_5.5.0_3.0_1726536899945.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_operator_pipeline_en_5.5.0_3.0_1726536899945.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_operator_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_operator_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_operator_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|870.6 MB|
+
+## References
+
+https://huggingface.co/DanLee6507/xlm-roberta-base-operator
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_sequence_classifier_language_detection_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_sequence_classifier_language_detection_en.md
new file mode 100644
index 00000000000000..837616fb58c18b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_sequence_classifier_language_detection_en.md
@@ -0,0 +1,104 @@
+---
+layout: model
+title: XLM-RoBERTa Sequence Classification Base - Language Detection (xlm_roberta_base_sequence_classifier_language_detection)
+author: John Snow Labs
+name: xlm_roberta_base_sequence_classifier_language_detection
+date: 2024-09-17
+tags: [sequence_classification, roberta, openvino, en, open_source]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: openvino
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+“
+XLM-RoBERTa Model with sequence classification/regression head on top (a linear layer on top of the pooled output) e.g. for multi-class document classification tasks.
+
+xlm_roberta_base_sequence_classifier_language_detection is a fine-tuned XLM-RoBERTa model that is ready to be used for Sequence Classification tasks such as sentiment analysis or multi-class text classification and it achieves state-of-the-art performance.
+
+We used TFXLMRobertaForSequenceClassification to train this model and used XlmRoBertaForSequenceClassification annotator in Spark NLP 🚀 for prediction at scale!
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_sequence_classifier_language_detection_en_5.5.0_3.0_1726563005096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_sequence_classifier_language_detection_en_5.5.0_3.0_1726563005096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_sequence_classifier_language_detection|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[token, document]|
+|Output Labels:|[label]|
+|Language:|en|
+|Size:|870.5 MB|
+|Case sensitive:|true|
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_longformer_base_4096_rua_wl_3_classes_pipeline_fr.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_longformer_base_4096_rua_wl_3_classes_pipeline_fr.md
new file mode 100644
index 00000000000000..640135795fba6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_longformer_base_4096_rua_wl_3_classes_pipeline_fr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: French xlm_roberta_longformer_base_4096_rua_wl_3_classes_pipeline pipeline XlmRoBertaForSequenceClassification from waboucay
+author: John Snow Labs
+name: xlm_roberta_longformer_base_4096_rua_wl_3_classes_pipeline
+date: 2024-09-17
+tags: [fr, open_source, pipeline, onnx]
+task: Text Classification
+language: fr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_longformer_base_4096_rua_wl_3_classes_pipeline` is a French model originally trained by waboucay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_longformer_base_4096_rua_wl_3_classes_pipeline_fr_5.5.0_3.0_1726615270758.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_longformer_base_4096_rua_wl_3_classes_pipeline_fr_5.5.0_3.0_1726615270758.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_longformer_base_4096_rua_wl_3_classes_pipeline", lang = "fr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_longformer_base_4096_rua_wl_3_classes_pipeline", lang = "fr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_longformer_base_4096_rua_wl_3_classes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fr|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/waboucay/xlm-roberta-longformer-base-4096-rua_wl_3_classes
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlmr_sinhalese_english_all_shuffled_2020_test1000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlmr_sinhalese_english_all_shuffled_2020_test1000_pipeline_en.md
new file mode 100644
index 00000000000000..469368af390d3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlmr_sinhalese_english_all_shuffled_2020_test1000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlmr_sinhalese_english_all_shuffled_2020_test1000_pipeline pipeline XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_sinhalese_english_all_shuffled_2020_test1000_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_sinhalese_english_all_shuffled_2020_test1000_pipeline` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_sinhalese_english_all_shuffled_2020_test1000_pipeline_en_5.5.0_3.0_1726615997876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_sinhalese_english_all_shuffled_2020_test1000_pipeline_en_5.5.0_3.0_1726615997876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmr_sinhalese_english_all_shuffled_2020_test1000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmr_sinhalese_english_all_shuffled_2020_test1000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_sinhalese_english_all_shuffled_2020_test1000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|814.3 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-si-en-all_shuffled-2020-test1000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-0_000005_0_999_en.md b/docs/_posts/ahmedlone127/2024-09-18-0_000005_0_999_en.md
new file mode 100644
index 00000000000000..5256049e498880
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-0_000005_0_999_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 0_000005_0_999 RoBertaForSequenceClassification from rose-e-wang
+author: John Snow Labs
+name: 0_000005_0_999
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`0_000005_0_999` is a English model originally trained by rose-e-wang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/0_000005_0_999_en_5.5.0_3.0_1726627919804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/0_000005_0_999_en_5.5.0_3.0_1726627919804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|0_000005_0_999|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/rose-e-wang/0.000005_0.999
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-1104_en.md b/docs/_posts/ahmedlone127/2024-09-18-1104_en.md
new file mode 100644
index 00000000000000..0267cbffd152f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-1104_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 1104 DistilBertForSequenceClassification from tingchih
+author: John Snow Labs
+name: 1104
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`1104` is a English model originally trained by tingchih.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/1104_en_5.5.0_3.0_1726625515443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/1104_en_5.5.0_3.0_1726625515443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|1104|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tingchih/1104
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-40_langdetect_v01_en.md b/docs/_posts/ahmedlone127/2024-09-18-40_langdetect_v01_en.md
new file mode 100644
index 00000000000000..0769d9a368e890
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-40_langdetect_v01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 40_langdetect_v01 XlmRoBertaForSequenceClassification from ERCDiDip
+author: John Snow Labs
+name: 40_langdetect_v01
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`40_langdetect_v01` is a English model originally trained by ERCDiDip.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/40_langdetect_v01_en_5.5.0_3.0_1726671779487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/40_langdetect_v01_en_5.5.0_3.0_1726671779487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|40_langdetect_v01|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|927.0 MB|
+
+## References
+
+https://huggingface.co/ERCDiDip/40_langdetect_v01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-5718_5_en.md b/docs/_posts/ahmedlone127/2024-09-18-5718_5_en.md
new file mode 100644
index 00000000000000..79cdd76b6c7207
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-5718_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 5718_5 DistilBertForSequenceClassification from mhpanju
+author: John Snow Labs
+name: 5718_5
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`5718_5` is a English model originally trained by mhpanju.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/5718_5_en_5.5.0_3.0_1726695900541.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/5718_5_en_5.5.0_3.0_1726695900541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|absa_restaurant_froberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/AliAhmad001/absa-restaurant-froberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-ahisto_ner_model_tds1_mu_nlpc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-ahisto_ner_model_tds1_mu_nlpc_pipeline_en.md
new file mode 100644
index 00000000000000..89c704578ea77e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-ahisto_ner_model_tds1_mu_nlpc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ahisto_ner_model_tds1_mu_nlpc_pipeline pipeline XlmRoBertaForTokenClassification from MU-NLPC
+author: John Snow Labs
+name: ahisto_ner_model_tds1_mu_nlpc_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ahisto_ner_model_tds1_mu_nlpc_pipeline` is a English model originally trained by MU-NLPC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ahisto_ner_model_tds1_mu_nlpc_pipeline_en_5.5.0_3.0_1726702147500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ahisto_ner_model_tds1_mu_nlpc_pipeline_en_5.5.0_3.0_1726702147500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ahisto_ner_model_tds1_mu_nlpc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ahisto_ner_model_tds1_mu_nlpc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ahisto_ner_model_tds1_mu_nlpc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/MU-NLPC/ahisto-ner-model-tds1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-albert_model_02_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-albert_model_02_pipeline_en.md
new file mode 100644
index 00000000000000..18998872920fe1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-albert_model_02_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_model_02_pipeline pipeline DistilBertForSequenceClassification from KalaiselvanD
+author: John Snow Labs
+name: albert_model_02_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_model_02_pipeline` is a English model originally trained by KalaiselvanD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_model_02_pipeline_en_5.5.0_3.0_1726626015843.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_model_02_pipeline_en_5.5.0_3.0_1726626015843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_model_02_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_model_02_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_model_02_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KalaiselvanD/albert_model_02
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-all_roberta_large_v1_travel_16_16_5_oos_en.md b/docs/_posts/ahmedlone127/2024-09-18-all_roberta_large_v1_travel_16_16_5_oos_en.md
new file mode 100644
index 00000000000000..0b292c5f6b4512
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-all_roberta_large_v1_travel_16_16_5_oos_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_travel_16_16_5_oos RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_travel_16_16_5_oos
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_travel_16_16_5_oos` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_travel_16_16_5_oos_en_5.5.0_3.0_1726628065698.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_travel_16_16_5_oos_en_5.5.0_3.0_1726628065698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_travel_16_16_5_oos|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-travel-16-16-5-oos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-all_roberta_large_v1_work_1000_16_5_oos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-all_roberta_large_v1_work_1000_16_5_oos_pipeline_en.md
new file mode 100644
index 00000000000000..d62f8b04b11d33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-all_roberta_large_v1_work_1000_16_5_oos_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_work_1000_16_5_oos_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_work_1000_16_5_oos_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_work_1000_16_5_oos_pipeline` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_work_1000_16_5_oos_pipeline_en_5.5.0_3.0_1726666817554.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_work_1000_16_5_oos_pipeline_en_5.5.0_3.0_1726666817554.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_roberta_large_v1_work_1000_16_5_oos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_work_1000_16_5_oos_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_work_1000_16_5_oos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-work-1000-16-5-oos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-amazon_spanish_reviews_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-amazon_spanish_reviews_pipeline_en.md
new file mode 100644
index 00000000000000..972c97563badf9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-amazon_spanish_reviews_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English amazon_spanish_reviews_pipeline pipeline RoBertaForSequenceClassification from santyzenith
+author: John Snow Labs
+name: amazon_spanish_reviews_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_spanish_reviews_pipeline` is a English model originally trained by santyzenith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_spanish_reviews_pipeline_en_5.5.0_3.0_1726649855335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_spanish_reviews_pipeline_en_5.5.0_3.0_1726649855335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("amazon_spanish_reviews_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("amazon_spanish_reviews_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_spanish_reviews_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|440.9 MB|
+
+## References
+
+https://huggingface.co/santyzenith/amazon_es_reviews
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-arywiki_20230101_roberta_mlm_nobots_ar.md b/docs/_posts/ahmedlone127/2024-09-18-arywiki_20230101_roberta_mlm_nobots_ar.md
new file mode 100644
index 00000000000000..0240a617a2f4c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-arywiki_20230101_roberta_mlm_nobots_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic arywiki_20230101_roberta_mlm_nobots RoBertaEmbeddings from SaiedAlshahrani
+author: John Snow Labs
+name: arywiki_20230101_roberta_mlm_nobots
+date: 2024-09-18
+tags: [ar, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arywiki_20230101_roberta_mlm_nobots` is a Arabic model originally trained by SaiedAlshahrani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arywiki_20230101_roberta_mlm_nobots_ar_5.5.0_3.0_1726651619191.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arywiki_20230101_roberta_mlm_nobots_ar_5.5.0_3.0_1726651619191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arywiki_20230101_roberta_mlm_nobots|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|ar|
+|Size:|311.3 MB|
+
+## References
+
+https://huggingface.co/SaiedAlshahrani/arywiki_20230101_roberta_mlm_nobots
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-arywiki_20230101_roberta_mlm_nobots_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-18-arywiki_20230101_roberta_mlm_nobots_pipeline_ar.md
new file mode 100644
index 00000000000000..cf72a4558b9f3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-arywiki_20230101_roberta_mlm_nobots_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic arywiki_20230101_roberta_mlm_nobots_pipeline pipeline RoBertaEmbeddings from SaiedAlshahrani
+author: John Snow Labs
+name: arywiki_20230101_roberta_mlm_nobots_pipeline
+date: 2024-09-18
+tags: [ar, open_source, pipeline, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arywiki_20230101_roberta_mlm_nobots_pipeline` is a Arabic model originally trained by SaiedAlshahrani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arywiki_20230101_roberta_mlm_nobots_pipeline_ar_5.5.0_3.0_1726651634592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arywiki_20230101_roberta_mlm_nobots_pipeline_ar_5.5.0_3.0_1726651634592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("arywiki_20230101_roberta_mlm_nobots_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("arywiki_20230101_roberta_mlm_nobots_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arywiki_20230101_roberta_mlm_nobots_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|311.3 MB|
+
+## References
+
+https://huggingface.co/SaiedAlshahrani/arywiki_20230101_roberta_mlm_nobots
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-babylm_roberta_base_epoch_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-babylm_roberta_base_epoch_5_pipeline_en.md
new file mode 100644
index 00000000000000..60daa0d5f78e76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-babylm_roberta_base_epoch_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English babylm_roberta_base_epoch_5_pipeline pipeline RoBertaEmbeddings from Raj-Sanjay-Shah
+author: John Snow Labs
+name: babylm_roberta_base_epoch_5_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babylm_roberta_base_epoch_5_pipeline` is a English model originally trained by Raj-Sanjay-Shah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babylm_roberta_base_epoch_5_pipeline_en_5.5.0_3.0_1726626629490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babylm_roberta_base_epoch_5_pipeline_en_5.5.0_3.0_1726626629490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babylm_roberta_base_epoch_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babylm_roberta_base_epoch_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babylm_roberta_base_epoch_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.6 MB|
+
+## References
+
+https://huggingface.co/Raj-Sanjay-Shah/babyLM_roberta_base_epoch_5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bantulm_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-18-bantulm_pipeline_xx.md
new file mode 100644
index 00000000000000..3f5117b6ad27a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bantulm_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual bantulm_pipeline pipeline BertEmbeddings from nairaxo
+author: John Snow Labs
+name: bantulm_pipeline
+date: 2024-09-18
+tags: [xx, open_source, pipeline, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bantulm_pipeline` is a Multilingual model originally trained by nairaxo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bantulm_pipeline_xx_5.5.0_3.0_1726691766822.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bantulm_pipeline_xx_5.5.0_3.0_1726691766822.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bantulm_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bantulm_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bantulm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|752.9 MB|
+
+## References
+
+https://huggingface.co/nairaxo/bantulm
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-berel_2_0_sam_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-berel_2_0_sam_v3_pipeline_en.md
new file mode 100644
index 00000000000000..5cfa352ffee860
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-berel_2_0_sam_v3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English berel_2_0_sam_v3_pipeline pipeline BertEmbeddings from johnlockejrr
+author: John Snow Labs
+name: berel_2_0_sam_v3_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`berel_2_0_sam_v3_pipeline` is a English model originally trained by johnlockejrr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berel_2_0_sam_v3_pipeline_en_5.5.0_3.0_1726673192497.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berel_2_0_sam_v3_pipeline_en_5.5.0_3.0_1726673192497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("berel_2_0_sam_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("berel_2_0_sam_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berel_2_0_sam_v3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|689.9 MB|
+
+## References
+
+https://huggingface.co/johnlockejrr/BEREL_2.0-sam-v3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-berit_2000_enriched_optimized_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-berit_2000_enriched_optimized_pipeline_en.md
new file mode 100644
index 00000000000000..e51d3a23650496
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-berit_2000_enriched_optimized_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English berit_2000_enriched_optimized_pipeline pipeline RoBertaEmbeddings from gngpostalsrvc
+author: John Snow Labs
+name: berit_2000_enriched_optimized_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`berit_2000_enriched_optimized_pipeline` is a English model originally trained by gngpostalsrvc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berit_2000_enriched_optimized_pipeline_en_5.5.0_3.0_1726678800715.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berit_2000_enriched_optimized_pipeline_en_5.5.0_3.0_1726678800715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("berit_2000_enriched_optimized_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("berit_2000_enriched_optimized_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berit_2000_enriched_optimized_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.9 MB|
+
+## References
+
+https://huggingface.co/gngpostalsrvc/BERiT_2000_enriched_optimized
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_base_cased_qqp_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_base_cased_qqp_en.md
new file mode 100644
index 00000000000000..63600a4d0d65c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_base_cased_qqp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_qqp BertForSequenceClassification from WillHeld
+author: John Snow Labs
+name: bert_base_cased_qqp
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_qqp` is a English model originally trained by WillHeld.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_qqp_en_5.5.0_3.0_1726623656921.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_qqp_en_5.5.0_3.0_1726623656921.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_historic_dutch_cased_squad_dutch|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/Nadav/bert-base-historic-dutch-cased-squad-nl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_pipeline_en.md
new file mode 100644
index 00000000000000..4ade4f3abbb925
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_pipeline pipeline BertForQuestionAnswering from alcalazans
+author: John Snow Labs
+name: bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_pipeline` is a English model originally trained by alcalazans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_pipeline_en_5.5.0_3.0_1726667918574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_pipeline_en_5.5.0_3.0_1726667918574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_220240904182946_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.220240904182946
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_base_uncased_issues_128_takaiwai_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_base_uncased_issues_128_takaiwai_pipeline_en.md
new file mode 100644
index 00000000000000..32d1b9e01833f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_base_uncased_issues_128_takaiwai_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_takaiwai_pipeline pipeline BertEmbeddings from takaiwai
+author: John Snow Labs
+name: bert_base_uncased_issues_128_takaiwai_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_issues_128_takaiwai_pipeline` is a English model originally trained by takaiwai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_takaiwai_pipeline_en_5.5.0_3.0_1726700756874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_takaiwai_pipeline_en_5.5.0_3.0_1726700756874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_issues_128_takaiwai_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_issues_128_takaiwai_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_takaiwai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/takaiwai/bert-base-uncased-issues-128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_emotion_hirenvadalia_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_emotion_hirenvadalia_en.md
new file mode 100644
index 00000000000000..3f90cb26df98a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_emotion_hirenvadalia_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_emotion_hirenvadalia DistilBertForSequenceClassification from hirenvadalia
+author: John Snow Labs
+name: bert_emotion_hirenvadalia
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotion_hirenvadalia` is a English model originally trained by hirenvadalia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_hirenvadalia_en_5.5.0_3.0_1726625926876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_hirenvadalia_en_5.5.0_3.0_1726625926876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emotion_hirenvadalia|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/hirenvadalia/bert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_ner_ANER_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-18-bert_ner_ANER_pipeline_ar.md
new file mode 100644
index 00000000000000..c914c41be7954b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_ner_ANER_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic bert_ner_ANER_pipeline pipeline BertForTokenClassification from boda
+author: John Snow Labs
+name: bert_ner_ANER_pipeline
+date: 2024-09-18
+tags: [ar, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_ANER_pipeline` is a Arabic model originally trained by boda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_ANER_pipeline_ar_5.5.0_3.0_1726699232991.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_ANER_pipeline_ar_5.5.0_3.0_1726699232991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_ner_ANER_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_ner_ANER_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_ANER_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/boda/ANER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_sentiment_persian_farsi_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_sentiment_persian_farsi_en.md
new file mode 100644
index 00000000000000..7358ebe0a1671e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_sentiment_persian_farsi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sentiment_persian_farsi RoBertaForSequenceClassification from Rasooli
+author: John Snow Labs
+name: bert_sentiment_persian_farsi
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sentiment_persian_farsi` is a English model originally trained by Rasooli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sentiment_persian_farsi_en_5.5.0_3.0_1726622443956.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sentiment_persian_farsi_en_5.5.0_3.0_1726622443956.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sentiment_persian_farsi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.3 MB|
+
+## References
+
+https://huggingface.co/Rasooli/Bert-Sentiment-Fa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_sql_classfication_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_sql_classfication_en.md
new file mode 100644
index 00000000000000..e9ab1b00a6b274
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_sql_classfication_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sql_classfication DistilBertForSequenceClassification from hiwensen
+author: John Snow Labs
+name: bert_sql_classfication
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sql_classfication` is a English model originally trained by hiwensen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sql_classfication_en_5.5.0_3.0_1726696213329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sql_classfication_en_5.5.0_3.0_1726696213329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sql_classfication|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hiwensen/bert_sql_classfication
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bert_sql_classfication_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-bert_sql_classfication_pipeline_en.md
new file mode 100644
index 00000000000000..040a58accea072
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bert_sql_classfication_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_sql_classfication_pipeline pipeline DistilBertForSequenceClassification from hiwensen
+author: John Snow Labs
+name: bert_sql_classfication_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sql_classfication_pipeline` is a English model originally trained by hiwensen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sql_classfication_pipeline_en_5.5.0_3.0_1726696226396.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sql_classfication_pipeline_en_5.5.0_3.0_1726696226396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_sql_classfication_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_sql_classfication_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sql_classfication_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hiwensen/bert_sql_classfication
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_test_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_test_3_pipeline_en.md
new file mode 100644
index 00000000000000..b0ae8c61b96f28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_test_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_test_3_pipeline pipeline RoBertaForSequenceClassification from Sleoruiz
+author: John Snow Labs
+name: bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_test_3_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_test_3_pipeline` is a English model originally trained by Sleoruiz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_test_3_pipeline_en_5.5.0_3.0_1726641435250.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_test_3_pipeline_en_5.5.0_3.0_1726641435250.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_test_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_test_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_test_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.7 MB|
+
+## References
+
+https://huggingface.co/Sleoruiz/bertin-roberta-fine-tuned-text-classification-SL-data-augmentation-test-3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-biobert_finetuned_squad_insurance_parambharat_en.md b/docs/_posts/ahmedlone127/2024-09-18-biobert_finetuned_squad_insurance_parambharat_en.md
new file mode 100644
index 00000000000000..39c6f1618c5845
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-biobert_finetuned_squad_insurance_parambharat_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English biobert_finetuned_squad_insurance_parambharat BertForQuestionAnswering from parambharat
+author: John Snow Labs
+name: biobert_finetuned_squad_insurance_parambharat
+date: 2024-09-18
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_finetuned_squad_insurance_parambharat` is a English model originally trained by parambharat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_finetuned_squad_insurance_parambharat_en_5.5.0_3.0_1726658968714.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_finetuned_squad_insurance_parambharat_en_5.5.0_3.0_1726658968714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_finetuned_squad_insurance_parambharat|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/parambharat/biobert-finetuned-squad-insurance
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-biobert_finetuned_squad_insurance_parambharat_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-biobert_finetuned_squad_insurance_parambharat_pipeline_en.md
new file mode 100644
index 00000000000000..fab408354d3444
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-biobert_finetuned_squad_insurance_parambharat_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English biobert_finetuned_squad_insurance_parambharat_pipeline pipeline BertForQuestionAnswering from parambharat
+author: John Snow Labs
+name: biobert_finetuned_squad_insurance_parambharat_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_finetuned_squad_insurance_parambharat_pipeline` is a English model originally trained by parambharat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_finetuned_squad_insurance_parambharat_pipeline_en_5.5.0_3.0_1726659034271.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_finetuned_squad_insurance_parambharat_pipeline_en_5.5.0_3.0_1726659034271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("biobert_finetuned_squad_insurance_parambharat_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("biobert_finetuned_squad_insurance_parambharat_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_finetuned_squad_insurance_parambharat_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/parambharat/biobert-finetuned-squad-insurance
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-bpe_selfies_pubchem_shard00_50k_en.md b/docs/_posts/ahmedlone127/2024-09-18-bpe_selfies_pubchem_shard00_50k_en.md
new file mode 100644
index 00000000000000..d7c8204ac37702
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-bpe_selfies_pubchem_shard00_50k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bpe_selfies_pubchem_shard00_50k RoBertaEmbeddings from seyonec
+author: John Snow Labs
+name: bpe_selfies_pubchem_shard00_50k
+date: 2024-09-18
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bpe_selfies_pubchem_shard00_50k` is a English model originally trained by seyonec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bpe_selfies_pubchem_shard00_50k_en_5.5.0_3.0_1726651331274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bpe_selfies_pubchem_shard00_50k_en_5.5.0_3.0_1726651331274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bpe_selfies_pubchem_shard00_50k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|309.6 MB|
+
+## References
+
+https://huggingface.co/seyonec/BPE_SELFIES_PubChem_shard00_50k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-btsn1_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-18-btsn1_distilbert_base_uncased_en.md
new file mode 100644
index 00000000000000..1029044651a6b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-btsn1_distilbert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English btsn1_distilbert_base_uncased DistilBertForSequenceClassification from ceblay
+author: John Snow Labs
+name: btsn1_distilbert_base_uncased
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`btsn1_distilbert_base_uncased` is a English model originally trained by ceblay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/btsn1_distilbert_base_uncased_en_5.5.0_3.0_1726677076870.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/btsn1_distilbert_base_uncased_en_5.5.0_3.0_1726677076870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|btsn1_distilbert_base_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ceblay/btsn1-distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_adelinachirtes_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_adelinachirtes_en.md
new file mode 100644
index 00000000000000..982b7179d1ea0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_adelinachirtes_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_adelinachirtes DistilBertForSequenceClassification from adelinachirtes
+author: John Snow Labs
+name: burmese_awesome_model_adelinachirtes
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_adelinachirtes` is a English model originally trained by adelinachirtes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_adelinachirtes_en_5.5.0_3.0_1726681492290.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_adelinachirtes_en_5.5.0_3.0_1726681492290.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_adelinachirtes|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/adelinachirtes/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_anhminh3105_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_anhminh3105_pipeline_en.md
new file mode 100644
index 00000000000000..ff91b49343baeb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_anhminh3105_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_anhminh3105_pipeline pipeline DistilBertForSequenceClassification from anhminh3105
+author: John Snow Labs
+name: burmese_awesome_model_anhminh3105_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_anhminh3105_pipeline` is a English model originally trained by anhminh3105.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_anhminh3105_pipeline_en_5.5.0_3.0_1726677418784.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_anhminh3105_pipeline_en_5.5.0_3.0_1726677418784.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_anhminh3105_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_anhminh3105_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_anhminh3105_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/anhminh3105/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dajulster_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dajulster_en.md
new file mode 100644
index 00000000000000..1dac3803a28dc8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dajulster_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_dajulster DistilBertForSequenceClassification from DaJulster
+author: John Snow Labs
+name: burmese_awesome_model_dajulster
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_dajulster` is a English model originally trained by DaJulster.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dajulster_en_5.5.0_3.0_1726630717134.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dajulster_en_5.5.0_3.0_1726630717134.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_dajulster|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DaJulster/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dajulster_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dajulster_pipeline_en.md
new file mode 100644
index 00000000000000..a3d1cea5cf526e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dajulster_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_dajulster_pipeline pipeline DistilBertForSequenceClassification from DaJulster
+author: John Snow Labs
+name: burmese_awesome_model_dajulster_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_dajulster_pipeline` is a English model originally trained by DaJulster.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dajulster_pipeline_en_5.5.0_3.0_1726630729759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dajulster_pipeline_en_5.5.0_3.0_1726630729759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_dajulster_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_dajulster_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_dajulster_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DaJulster/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_darkshark77_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_darkshark77_en.md
new file mode 100644
index 00000000000000..1caf5e4884c6b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_darkshark77_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_darkshark77 DistilBertForSequenceClassification from darkshark77
+author: John Snow Labs
+name: burmese_awesome_model_darkshark77
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_darkshark77` is a English model originally trained by darkshark77.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_darkshark77_en_5.5.0_3.0_1726695643421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_darkshark77_en_5.5.0_3.0_1726695643421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_darkshark77|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/darkshark77/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dldnlee_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dldnlee_en.md
new file mode 100644
index 00000000000000..156ad52b18ed03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_dldnlee_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_dldnlee DistilBertForSequenceClassification from dldnlee
+author: John Snow Labs
+name: burmese_awesome_model_dldnlee
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_dldnlee` is a English model originally trained by dldnlee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dldnlee_en_5.5.0_3.0_1726696432371.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dldnlee_en_5.5.0_3.0_1726696432371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_dldnlee|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dldnlee/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_duy221_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_duy221_en.md
new file mode 100644
index 00000000000000..efb13b7164cf10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_duy221_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_duy221 DistilBertForSequenceClassification from duy221
+author: John Snow Labs
+name: burmese_awesome_model_duy221
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_duy221` is a English model originally trained by duy221.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_duy221_en_5.5.0_3.0_1726694860914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_duy221_en_5.5.0_3.0_1726694860914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_duy221|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/duy221/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_duy221_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_duy221_pipeline_en.md
new file mode 100644
index 00000000000000..c86b874ed21df6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_duy221_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_duy221_pipeline pipeline DistilBertForSequenceClassification from duy221
+author: John Snow Labs
+name: burmese_awesome_model_duy221_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_duy221_pipeline` is a English model originally trained by duy221.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_duy221_pipeline_en_5.5.0_3.0_1726694876391.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_duy221_pipeline_en_5.5.0_3.0_1726694876391.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_duy221_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_duy221_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_duy221_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/duy221/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_jayhook_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_jayhook_pipeline_en.md
new file mode 100644
index 00000000000000..cf66aaa331a0c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_jayhook_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_jayhook_pipeline pipeline DistilBertForSequenceClassification from jayhook
+author: John Snow Labs
+name: burmese_awesome_model_jayhook_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jayhook_pipeline` is a English model originally trained by jayhook.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jayhook_pipeline_en_5.5.0_3.0_1726625587461.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jayhook_pipeline_en_5.5.0_3.0_1726625587461.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_jayhook_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_jayhook_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_jayhook_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jayhook/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_neroism8422_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_neroism8422_en.md
new file mode 100644
index 00000000000000..c2760db1bde9f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_neroism8422_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_neroism8422 DistilBertForSequenceClassification from Neroism8422
+author: John Snow Labs
+name: burmese_awesome_model_neroism8422
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_neroism8422` is a English model originally trained by Neroism8422.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_neroism8422_en_5.5.0_3.0_1726680807555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_neroism8422_en_5.5.0_3.0_1726680807555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_neroism8422|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Neroism8422/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_neroism8422_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_neroism8422_pipeline_en.md
new file mode 100644
index 00000000000000..3595a5077a449f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_neroism8422_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_neroism8422_pipeline pipeline DistilBertForSequenceClassification from Neroism8422
+author: John Snow Labs
+name: burmese_awesome_model_neroism8422_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_neroism8422_pipeline` is a English model originally trained by Neroism8422.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_neroism8422_pipeline_en_5.5.0_3.0_1726680819826.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_neroism8422_pipeline_en_5.5.0_3.0_1726680819826.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_neroism8422_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_neroism8422_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_neroism8422_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Neroism8422/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_pawannlp123_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_pawannlp123_en.md
new file mode 100644
index 00000000000000..4461cd7d32da76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_pawannlp123_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_pawannlp123 DistilBertForSequenceClassification from pawanNLP123
+author: John Snow Labs
+name: burmese_awesome_model_pawannlp123
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_pawannlp123` is a English model originally trained by pawanNLP123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_pawannlp123_en_5.5.0_3.0_1726696044568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_pawannlp123_en_5.5.0_3.0_1726696044568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_pawannlp123|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/pawanNLP123/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_thebisso09_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_thebisso09_pipeline_en.md
new file mode 100644
index 00000000000000..800cf579be0968
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_awesome_model_thebisso09_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_thebisso09_pipeline pipeline DistilBertForSequenceClassification from Thebisso09
+author: John Snow Labs
+name: burmese_awesome_model_thebisso09_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_thebisso09_pipeline` is a English model originally trained by Thebisso09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thebisso09_pipeline_en_5.5.0_3.0_1726681812015.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thebisso09_pipeline_en_5.5.0_3.0_1726681812015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_thebisso09_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_thebisso09_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_thebisso09_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Thebisso09/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_finetuned_distilbert_on_imdb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_finetuned_distilbert_on_imdb_pipeline_en.md
new file mode 100644
index 00000000000000..115bd79aa9feb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_finetuned_distilbert_on_imdb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_finetuned_distilbert_on_imdb_pipeline pipeline DistilBertForSequenceClassification from gslshbs
+author: John Snow Labs
+name: burmese_finetuned_distilbert_on_imdb_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_finetuned_distilbert_on_imdb_pipeline` is a English model originally trained by gslshbs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_finetuned_distilbert_on_imdb_pipeline_en_5.5.0_3.0_1726680513696.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_finetuned_distilbert_on_imdb_pipeline_en_5.5.0_3.0_1726680513696.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_finetuned_distilbert_on_imdb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_finetuned_distilbert_on_imdb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_finetuned_distilbert_on_imdb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/gslshbs/my_finetuned_DistilBERT_on_IMDb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_model_eperiment6_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_model_eperiment6_en.md
new file mode 100644
index 00000000000000..09953cc634c008
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_model_eperiment6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_model_eperiment6 DistilBertForSequenceClassification from HFFErica
+author: John Snow Labs
+name: burmese_model_eperiment6
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model_eperiment6` is a English model originally trained by HFFErica.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_eperiment6_en_5.5.0_3.0_1726680746757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_eperiment6_en_5.5.0_3.0_1726680746757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_model_eperiment6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/HFFErica/my_model_Eperiment6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_model_parsawar_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_model_parsawar_pipeline_en.md
new file mode 100644
index 00000000000000..38cc6a3044b76b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_model_parsawar_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_model_parsawar_pipeline pipeline DistilBertForSequenceClassification from parsawar
+author: John Snow Labs
+name: burmese_model_parsawar_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model_parsawar_pipeline` is a English model originally trained by parsawar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_parsawar_pipeline_en_5.5.0_3.0_1726625541952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_parsawar_pipeline_en_5.5.0_3.0_1726625541952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_model_parsawar_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_model_parsawar_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_model_parsawar_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/parsawar/my_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-burmese_not_somali_awesome_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-burmese_not_somali_awesome_model_pipeline_en.md
new file mode 100644
index 00000000000000..731b4e215f2349
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-burmese_not_somali_awesome_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_not_somali_awesome_model_pipeline pipeline DistilBertForSequenceClassification from baris-yazici
+author: John Snow Labs
+name: burmese_not_somali_awesome_model_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_not_somali_awesome_model_pipeline` is a English model originally trained by baris-yazici.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_not_somali_awesome_model_pipeline_en_5.5.0_3.0_1726682065100.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_not_somali_awesome_model_pipeline_en_5.5.0_3.0_1726682065100.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_not_somali_awesome_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_not_somali_awesome_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_not_somali_awesome_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/baris-yazici/my_not_so_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-cat_ner_iw_4_en.md b/docs/_posts/ahmedlone127/2024-09-18-cat_ner_iw_4_en.md
new file mode 100644
index 00000000000000..0be41f280715ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-cat_ner_iw_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cat_ner_iw_4 XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_ner_iw_4
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cat_ner_iw_4` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_ner_iw_4_en_5.5.0_3.0_1726635971336.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_ner_iw_4_en_5.5.0_3.0_1726635971336.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_ner_iw_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|423.2 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-ner-iw-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-category_1_delivery_cancellation_distilbert_base_uncased_v1_en.md b/docs/_posts/ahmedlone127/2024-09-18-category_1_delivery_cancellation_distilbert_base_uncased_v1_en.md
new file mode 100644
index 00000000000000..17086111cce61d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-category_1_delivery_cancellation_distilbert_base_uncased_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English category_1_delivery_cancellation_distilbert_base_uncased_v1 DistilBertForSequenceClassification from chuuhtetnaing
+author: John Snow Labs
+name: category_1_delivery_cancellation_distilbert_base_uncased_v1
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`category_1_delivery_cancellation_distilbert_base_uncased_v1` is a English model originally trained by chuuhtetnaing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/category_1_delivery_cancellation_distilbert_base_uncased_v1_en_5.5.0_3.0_1726669508139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/category_1_delivery_cancellation_distilbert_base_uncased_v1_en_5.5.0_3.0_1726669508139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|category_1_delivery_cancellation_distilbert_base_uncased_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chuuhtetnaing/category-1-delivery-cancellation-distilbert-base-uncased-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-classification_4_kfold_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-classification_4_kfold_v1_pipeline_en.md
new file mode 100644
index 00000000000000..6353b69c6af850
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-classification_4_kfold_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English classification_4_kfold_v1_pipeline pipeline DistilBertForSequenceClassification from Pranavsenthilvel
+author: John Snow Labs
+name: classification_4_kfold_v1_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classification_4_kfold_v1_pipeline` is a English model originally trained by Pranavsenthilvel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classification_4_kfold_v1_pipeline_en_5.5.0_3.0_1726630496458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classification_4_kfold_v1_pipeline_en_5.5.0_3.0_1726630496458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("classification_4_kfold_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("classification_4_kfold_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classification_4_kfold_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Pranavsenthilvel/classification-4-kfold-V1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-climate_obstructive_narratives_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-climate_obstructive_narratives_pipeline_en.md
new file mode 100644
index 00000000000000..b3ac50ee86eee6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-climate_obstructive_narratives_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English climate_obstructive_narratives_pipeline pipeline RoBertaForSequenceClassification from climate-nlp
+author: John Snow Labs
+name: climate_obstructive_narratives_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`climate_obstructive_narratives_pipeline` is a English model originally trained by climate-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/climate_obstructive_narratives_pipeline_en_5.5.0_3.0_1726689935785.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/climate_obstructive_narratives_pipeline_en_5.5.0_3.0_1726689935785.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("climate_obstructive_narratives_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("climate_obstructive_narratives_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|climate_obstructive_narratives_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/climate-nlp/climate-obstructive-narratives
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-cold_fusion_finetuned_convincingness_ibm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-cold_fusion_finetuned_convincingness_ibm_pipeline_en.md
new file mode 100644
index 00000000000000..84e5c584be848f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-cold_fusion_finetuned_convincingness_ibm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cold_fusion_finetuned_convincingness_ibm_pipeline pipeline RoBertaForSequenceClassification from jakub014
+author: John Snow Labs
+name: cold_fusion_finetuned_convincingness_ibm_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_finetuned_convincingness_ibm_pipeline` is a English model originally trained by jakub014.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_finetuned_convincingness_ibm_pipeline_en_5.5.0_3.0_1726641979111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_finetuned_convincingness_ibm_pipeline_en_5.5.0_3.0_1726641979111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cold_fusion_finetuned_convincingness_ibm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cold_fusion_finetuned_convincingness_ibm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_finetuned_convincingness_ibm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/jakub014/ColD-Fusion-finetuned-convincingness-IBM
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-cold_fusion_itr11_seed0_en.md b/docs/_posts/ahmedlone127/2024-09-18-cold_fusion_itr11_seed0_en.md
new file mode 100644
index 00000000000000..8584d3fbbf71ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-cold_fusion_itr11_seed0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_itr11_seed0 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr11_seed0
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr11_seed0` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr11_seed0_en_5.5.0_3.0_1726650362404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr11_seed0_en_5.5.0_3.0_1726650362404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr11_seed0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr11-seed0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-cold_fusion_itr13_seed4_en.md b/docs/_posts/ahmedlone127/2024-09-18-cold_fusion_itr13_seed4_en.md
new file mode 100644
index 00000000000000..6c6c171aa0baf0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-cold_fusion_itr13_seed4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_itr13_seed4 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr13_seed4
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr13_seed4` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr13_seed4_en_5.5.0_3.0_1726649517117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr13_seed4_en_5.5.0_3.0_1726649517117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr13_seed4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr13-seed4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-db_aca_1_1_en.md b/docs/_posts/ahmedlone127/2024-09-18-db_aca_1_1_en.md
new file mode 100644
index 00000000000000..1b6a3d3d4450de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-db_aca_1_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English db_aca_1_1 DistilBertForSequenceClassification from exala
+author: John Snow Labs
+name: db_aca_1_1
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`db_aca_1_1` is a English model originally trained by exala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/db_aca_1_1_en_5.5.0_3.0_1726682050217.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/db_aca_1_1_en_5.5.0_3.0_1726682050217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|db_aca_1_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/exala/db_aca_1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-db_aca_1_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-db_aca_1_1_pipeline_en.md
new file mode 100644
index 00000000000000..9ed5dec453db20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-db_aca_1_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English db_aca_1_1_pipeline pipeline DistilBertForSequenceClassification from exala
+author: John Snow Labs
+name: db_aca_1_1_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`db_aca_1_1_pipeline` is a English model originally trained by exala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/db_aca_1_1_pipeline_en_5.5.0_3.0_1726682064931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/db_aca_1_1_pipeline_en_5.5.0_3.0_1726682064931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("db_aca_1_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("db_aca_1_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|db_aca_1_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/exala/db_aca_1.1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-db_mc_6a_89_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-db_mc_6a_89_pipeline_en.md
new file mode 100644
index 00000000000000..27ab41a056a981
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-db_mc_6a_89_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English db_mc_6a_89_pipeline pipeline DistilBertForSequenceClassification from exala
+author: John Snow Labs
+name: db_mc_6a_89_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`db_mc_6a_89_pipeline` is a English model originally trained by exala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/db_mc_6a_89_pipeline_en_5.5.0_3.0_1726676761452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/db_mc_6a_89_pipeline_en_5.5.0_3.0_1726676761452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("db_mc_6a_89_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("db_mc_6a_89_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|db_mc_6a_89_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/exala/db_mc_6a-89
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-deep_pavlov__qa_model_en.md b/docs/_posts/ahmedlone127/2024-09-18-deep_pavlov__qa_model_en.md
new file mode 100644
index 00000000000000..89586283feae41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-deep_pavlov__qa_model_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English deep_pavlov__qa_model BertForQuestionAnswering from greatakela
+author: John Snow Labs
+name: deep_pavlov__qa_model
+date: 2024-09-18
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deep_pavlov__qa_model` is a English model originally trained by greatakela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deep_pavlov__qa_model_en_5.5.0_3.0_1726668301644.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deep_pavlov__qa_model_en_5.5.0_3.0_1726668301644.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_cased_razones_especificas_esp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/rogelioplatt/distilbert-base-multilingual-cased-Razones_Especificas_Esp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_turkish_cased_stance_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_turkish_cased_stance_pipeline_tr.md
new file mode 100644
index 00000000000000..491ff304e09617
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_turkish_cased_stance_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish distilbert_base_turkish_cased_stance_pipeline pipeline DistilBertForSequenceClassification from byunal
+author: John Snow Labs
+name: distilbert_base_turkish_cased_stance_pipeline
+date: 2024-09-18
+tags: [tr, open_source, pipeline, onnx]
+task: Text Classification
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_turkish_cased_stance_pipeline` is a Turkish model originally trained by byunal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_turkish_cased_stance_pipeline_tr_5.5.0_3.0_1726669685693.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_turkish_cased_stance_pipeline_tr_5.5.0_3.0_1726669685693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_turkish_cased_stance_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_turkish_cased_stance_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_turkish_cased_stance_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|254.1 MB|
+
+## References
+
+https://huggingface.co/byunal/distilbert-base-turkish-cased-stance
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_aaa01101312_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_aaa01101312_pipeline_en.md
new file mode 100644
index 00000000000000..d662bcd4666c7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_aaa01101312_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_aaa01101312_pipeline pipeline DistilBertForSequenceClassification from AAA01101312
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_aaa01101312_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_aaa01101312_pipeline` is a English model originally trained by AAA01101312.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_aaa01101312_pipeline_en_5.5.0_3.0_1726669535648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_aaa01101312_pipeline_en_5.5.0_3.0_1726669535648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_distilled_clinc_aaa01101312_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_distilled_clinc_aaa01101312_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_aaa01101312_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/AAA01101312/distilbert-base-uncased-distilled-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_mealduct_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_mealduct_en.md
new file mode 100644
index 00000000000000..2ff57e68868512
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_distilled_clinc_mealduct_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_mealduct DistilBertForSequenceClassification from MealDuct
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_mealduct
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_mealduct` is a English model originally trained by MealDuct.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_mealduct_en_5.5.0_3.0_1726625359284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_mealduct_en_5.5.0_3.0_1726625359284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_mealduct|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/MealDuct/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_fine_tunning_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_fine_tunning_pipeline_en.md
new file mode 100644
index 00000000000000..576ec8df13629c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_fine_tunning_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_fine_tunning_pipeline pipeline DistilBertForSequenceClassification from adolford
+author: John Snow Labs
+name: distilbert_base_uncased_fine_tunning_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fine_tunning_pipeline` is a English model originally trained by adolford.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tunning_pipeline_en_5.5.0_3.0_1726695061240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tunning_pipeline_en_5.5.0_3.0_1726695061240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_fine_tunning_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_fine_tunning_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_fine_tunning_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/adolford/distilbert-base-uncased_fine_tunning
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_balus_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_balus_pipeline_en.md
new file mode 100644
index 00000000000000..f75e1b0997a5db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_balus_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_balus_pipeline pipeline DistilBertForSequenceClassification from balus
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_balus_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_balus_pipeline` is a English model originally trained by balus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_balus_pipeline_en_5.5.0_3.0_1726696550995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_balus_pipeline_en_5.5.0_3.0_1726696550995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_balus_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_balus_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_balus_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/balus/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_dro14_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_dro14_en.md
new file mode 100644
index 00000000000000..05bd7306fb6e51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_dro14_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_dro14 DistilBertForSequenceClassification from dro14
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_dro14
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_dro14` is a English model originally trained by dro14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_dro14_en_5.5.0_3.0_1726630168639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_dro14_en_5.5.0_3.0_1726630168639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_dro14|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/dro14/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_dro14_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_dro14_pipeline_en.md
new file mode 100644
index 00000000000000..11b907d6610ba4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_dro14_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_dro14_pipeline pipeline DistilBertForSequenceClassification from dro14
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_dro14_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_dro14_pipeline` is a English model originally trained by dro14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_dro14_pipeline_en_5.5.0_3.0_1726630182030.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_dro14_pipeline_en_5.5.0_3.0_1726630182030.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_dro14_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_dro14_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_dro14_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/dro14/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_ehottl_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_ehottl_pipeline_en.md
new file mode 100644
index 00000000000000..09c3a274c9766b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_clinc_ehottl_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_ehottl_pipeline pipeline DistilBertForSequenceClassification from ehottl
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_ehottl_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_ehottl_pipeline` is a English model originally trained by ehottl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_ehottl_pipeline_en_5.5.0_3.0_1726681911817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_ehottl_pipeline_en_5.5.0_3.0_1726681911817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_ehottl_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_ehottl_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_ehottl_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/ehottl/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_anuj55_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_anuj55_pipeline_en.md
new file mode 100644
index 00000000000000..8e0a6022646a81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_anuj55_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_anuj55_pipeline pipeline DistilBertForSequenceClassification from anuj55
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_anuj55_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_anuj55_pipeline` is a English model originally trained by anuj55.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_anuj55_pipeline_en_5.5.0_3.0_1726694876353.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_anuj55_pipeline_en_5.5.0_3.0_1726694876353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_anuj55_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_anuj55_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_anuj55_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/anuj55/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_hashemghanem_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_hashemghanem_en.md
new file mode 100644
index 00000000000000..efe097173e4f8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_hashemghanem_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_hashemghanem DistilBertForSequenceClassification from Hashemghanem
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_hashemghanem
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_hashemghanem` is a English model originally trained by Hashemghanem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hashemghanem_en_5.5.0_3.0_1726677343310.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hashemghanem_en_5.5.0_3.0_1726677343310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_hashemghanem|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Hashemghanem/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_hfdsajkfd_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_hfdsajkfd_pipeline_en.md
new file mode 100644
index 00000000000000..82057a6d579b0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_hfdsajkfd_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_hfdsajkfd_pipeline pipeline DistilBertForSequenceClassification from hfdsajkfd
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_hfdsajkfd_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_hfdsajkfd_pipeline` is a English model originally trained by hfdsajkfd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hfdsajkfd_pipeline_en_5.5.0_3.0_1726630295100.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hfdsajkfd_pipeline_en_5.5.0_3.0_1726630295100.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_hfdsajkfd_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_hfdsajkfd_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_hfdsajkfd_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hfdsajkfd/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_obudzecie_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_obudzecie_pipeline_en.md
new file mode 100644
index 00000000000000..9ad183c42f0cd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_obudzecie_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_obudzecie_pipeline pipeline DistilBertForSequenceClassification from obudzecie
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_obudzecie_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_obudzecie_pipeline` is a English model originally trained by obudzecie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_obudzecie_pipeline_en_5.5.0_3.0_1726681385569.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_obudzecie_pipeline_en_5.5.0_3.0_1726681385569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_obudzecie_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_obudzecie_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_obudzecie_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/obudzecie/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_santosale_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_santosale_en.md
new file mode 100644
index 00000000000000..5cede84c72ad48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_santosale_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_santosale DistilBertForSequenceClassification from santosale
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_santosale
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_santosale` is a English model originally trained by santosale.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_santosale_en_5.5.0_3.0_1726676749499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_santosale_en_5.5.0_3.0_1726676749499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_santosale|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/santosale/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_zhihengjasontou_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_zhihengjasontou_en.md
new file mode 100644
index 00000000000000..5ec2a279b08e0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_cola_zhihengjasontou_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_zhihengjasontou DistilBertForSequenceClassification from zhihengjasontou
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_zhihengjasontou
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_zhihengjasontou` is a English model originally trained by zhihengjasontou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zhihengjasontou_en_5.5.0_3.0_1726676749399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zhihengjasontou_en_5.5.0_3.0_1726676749399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_zhihengjasontou|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/zhihengjasontou/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_agonrod_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_agonrod_en.md
new file mode 100644
index 00000000000000..ff21d69396efa6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_agonrod_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_agonrod DistilBertForSequenceClassification from agonrod
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_agonrod
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_agonrod` is a English model originally trained by agonrod.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_agonrod_en_5.5.0_3.0_1726695029404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_agonrod_en_5.5.0_3.0_1726695029404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_agonrod|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/agonrod/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_amirabedini_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_amirabedini_pipeline_en.md
new file mode 100644
index 00000000000000..fbed2499258398
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_amirabedini_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_amirabedini_pipeline pipeline DistilBertForSequenceClassification from AmirAbedini
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_amirabedini_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_amirabedini_pipeline` is a English model originally trained by AmirAbedini.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_amirabedini_pipeline_en_5.5.0_3.0_1726696024732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_amirabedini_pipeline_en_5.5.0_3.0_1726696024732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_amirabedini_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_amirabedini_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_amirabedini_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AmirAbedini/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_en.md
new file mode 100644
index 00000000000000..a651c25de007ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas DistilBertForSequenceClassification from arvindsinghmanhas
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas` is a English model originally trained by arvindsinghmanhas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_en_5.5.0_3.0_1726680398947.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas_en_5.5.0_3.0_1726680398947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_arvindsinghmanhas|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/arvindsinghmanhas/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_bentanweihao_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_bentanweihao_en.md
new file mode 100644
index 00000000000000..54f2eb63a37e5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_bentanweihao_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_bentanweihao DistilBertForSequenceClassification from bentanweihao
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_bentanweihao
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bentanweihao` is a English model originally trained by bentanweihao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bentanweihao_en_5.5.0_3.0_1726625641079.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bentanweihao_en_5.5.0_3.0_1726625641079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_bentanweihao|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bentanweihao/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_edosevering_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_edosevering_pipeline_en.md
new file mode 100644
index 00000000000000..80839b11ff0928
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_edosevering_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_edosevering_pipeline pipeline DistilBertForSequenceClassification from edoSevering
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_edosevering_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_edosevering_pipeline` is a English model originally trained by edoSevering.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_edosevering_pipeline_en_5.5.0_3.0_1726695070308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_edosevering_pipeline_en_5.5.0_3.0_1726695070308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_edosevering_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_edosevering_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_edosevering_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/edoSevering/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_hitoshinagaoka_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_hitoshinagaoka_en.md
new file mode 100644
index 00000000000000..f323739e504976
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_hitoshinagaoka_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_hitoshinagaoka DistilBertForSequenceClassification from hitoshiNagaoka
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_hitoshinagaoka
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hitoshinagaoka` is a English model originally trained by hitoshiNagaoka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hitoshinagaoka_en_5.5.0_3.0_1726696021248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hitoshinagaoka_en_5.5.0_3.0_1726696021248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_hitoshinagaoka|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hitoshiNagaoka/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_kbrink_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_kbrink_pipeline_en.md
new file mode 100644
index 00000000000000..862da8c8d87438
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_kbrink_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_kbrink_pipeline pipeline DistilBertForSequenceClassification from kbrink
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_kbrink_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kbrink_pipeline` is a English model originally trained by kbrink.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kbrink_pipeline_en_5.5.0_3.0_1726696627617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kbrink_pipeline_en_5.5.0_3.0_1726696627617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_kbrink_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_kbrink_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_kbrink_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kbrink/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_kimsan1120_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_kimsan1120_en.md
new file mode 100644
index 00000000000000..6d70ea3b0a2cdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_kimsan1120_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_kimsan1120 DistilBertForSequenceClassification from kimsan1120
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_kimsan1120
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kimsan1120` is a English model originally trained by kimsan1120.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kimsan1120_en_5.5.0_3.0_1726695902901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kimsan1120_en_5.5.0_3.0_1726695902901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_kimsan1120|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kimsan1120/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_kimsan1120_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_kimsan1120_pipeline_en.md
new file mode 100644
index 00000000000000..fc06832df8b521
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_kimsan1120_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_kimsan1120_pipeline pipeline DistilBertForSequenceClassification from kimsan1120
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_kimsan1120_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kimsan1120_pipeline` is a English model originally trained by kimsan1120.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kimsan1120_pipeline_en_5.5.0_3.0_1726695918808.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kimsan1120_pipeline_en_5.5.0_3.0_1726695918808.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_kimsan1120_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_kimsan1120_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_kimsan1120_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kimsan1120/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_lxlinghu_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_lxlinghu_en.md
new file mode 100644
index 00000000000000..9849926b40b1f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_lxlinghu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_lxlinghu DistilBertForSequenceClassification from lxlinghu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_lxlinghu
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_lxlinghu` is a English model originally trained by lxlinghu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lxlinghu_en_5.5.0_3.0_1726630903317.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lxlinghu_en_5.5.0_3.0_1726630903317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_lxlinghu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lxlinghu/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_michaelsungboklee_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_michaelsungboklee_pipeline_en.md
new file mode 100644
index 00000000000000..ff8e1a083778f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_michaelsungboklee_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_michaelsungboklee_pipeline pipeline DistilBertForSequenceClassification from michaelsungboklee
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_michaelsungboklee_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_michaelsungboklee_pipeline` is a English model originally trained by michaelsungboklee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_michaelsungboklee_pipeline_en_5.5.0_3.0_1726680299118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_michaelsungboklee_pipeline_en_5.5.0_3.0_1726680299118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_michaelsungboklee_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_michaelsungboklee_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_michaelsungboklee_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/michaelsungboklee/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ms25_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ms25_en.md
new file mode 100644
index 00000000000000..a419bed2b7e585
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ms25_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ms25 DistilBertForSequenceClassification from ms25
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ms25
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ms25` is a English model originally trained by ms25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ms25_en_5.5.0_3.0_1726676972979.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ms25_en_5.5.0_3.0_1726676972979.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ms25|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ms25/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_naikola_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_naikola_en.md
new file mode 100644
index 00000000000000..92def342bc8b3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_naikola_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_naikola DistilBertForSequenceClassification from Naikola
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_naikola
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_naikola` is a English model originally trained by Naikola.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_naikola_en_5.5.0_3.0_1726677414879.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_naikola_en_5.5.0_3.0_1726677414879.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_naikola|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Naikola/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_naikola_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_naikola_pipeline_en.md
new file mode 100644
index 00000000000000..927089a8215086
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_naikola_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_naikola_pipeline pipeline DistilBertForSequenceClassification from Naikola
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_naikola_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_naikola_pipeline` is a English model originally trained by Naikola.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_naikola_pipeline_en_5.5.0_3.0_1726677427431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_naikola_pipeline_en_5.5.0_3.0_1726677427431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_naikola_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_naikola_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_naikola_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Naikola/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_oturk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_oturk_pipeline_en.md
new file mode 100644
index 00000000000000..23728e587d5532
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_oturk_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_oturk_pipeline pipeline DistilBertForSequenceClassification from oturk
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_oturk_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_oturk_pipeline` is a English model originally trained by oturk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_oturk_pipeline_en_5.5.0_3.0_1726680629783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_oturk_pipeline_en_5.5.0_3.0_1726680629783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_oturk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_oturk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_oturk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/oturk/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_overall_2nd_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_overall_2nd_en.md
new file mode 100644
index 00000000000000..3615489b08ef9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_overall_2nd_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_overall_2nd DistilBertForSequenceClassification from LeBruse
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_overall_2nd
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_overall_2nd` is a English model originally trained by LeBruse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_overall_2nd_en_5.5.0_3.0_1726669285055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_overall_2nd_en_5.5.0_3.0_1726669285055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_overall_2nd|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LeBruse/distilbert-base-uncased-finetuned-emotion-overall-2nd
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_overall_2nd_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_overall_2nd_pipeline_en.md
new file mode 100644
index 00000000000000..562ed92edb6ddf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_overall_2nd_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_overall_2nd_pipeline pipeline DistilBertForSequenceClassification from LeBruse
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_overall_2nd_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_overall_2nd_pipeline` is a English model originally trained by LeBruse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_overall_2nd_pipeline_en_5.5.0_3.0_1726669304110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_overall_2nd_pipeline_en_5.5.0_3.0_1726669304110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_overall_2nd_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_overall_2nd_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_overall_2nd_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LeBruse/distilbert-base-uncased-finetuned-emotion-overall-2nd
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_rick72x5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_rick72x5_pipeline_en.md
new file mode 100644
index 00000000000000..268b7afbfe8cf3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_rick72x5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_rick72x5_pipeline pipeline DistilBertForSequenceClassification from rick72x5
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_rick72x5_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rick72x5_pipeline` is a English model originally trained by rick72x5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rick72x5_pipeline_en_5.5.0_3.0_1726677148590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rick72x5_pipeline_en_5.5.0_3.0_1726677148590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_rick72x5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_rick72x5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_rick72x5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rick72x5/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ryanjyc_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ryanjyc_en.md
new file mode 100644
index 00000000000000..8f4db40b234315
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_ryanjyc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ryanjyc DistilBertForSequenceClassification from ryanjyc
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ryanjyc
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ryanjyc` is a English model originally trained by ryanjyc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ryanjyc_en_5.5.0_3.0_1726695063590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ryanjyc_en_5.5.0_3.0_1726695063590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ryanjyc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ryanjyc/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_shiv_pal_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_shiv_pal_en.md
new file mode 100644
index 00000000000000..d92725eae8e7c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_shiv_pal_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_shiv_pal DistilBertForSequenceClassification from Shiv-Pal
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_shiv_pal
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_shiv_pal` is a English model originally trained by Shiv-Pal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shiv_pal_en_5.5.0_3.0_1726625760900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shiv_pal_en_5.5.0_3.0_1726625760900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_shiv_pal|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Shiv-Pal/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_skylord_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_skylord_pipeline_en.md
new file mode 100644
index 00000000000000..f28409ae10032a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_skylord_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_skylord_pipeline pipeline DistilBertForSequenceClassification from skylord
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_skylord_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_skylord_pipeline` is a English model originally trained by skylord.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_skylord_pipeline_en_5.5.0_3.0_1726625658963.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_skylord_pipeline_en_5.5.0_3.0_1726625658963.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_skylord_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_skylord_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_skylord_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/skylord/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_suraj101_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_suraj101_en.md
new file mode 100644
index 00000000000000..d7e852bac131e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_suraj101_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_suraj101 DistilBertForSequenceClassification from suraj101
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_suraj101
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_suraj101` is a English model originally trained by suraj101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_suraj101_en_5.5.0_3.0_1726630375519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_suraj101_en_5.5.0_3.0_1726630375519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_suraj101|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/suraj101/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_tagch_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_tagch_en.md
new file mode 100644
index 00000000000000..6b3445e97177cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_tagch_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_tagch DistilBertForSequenceClassification from TAGCH
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_tagch
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tagch` is a English model originally trained by TAGCH.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tagch_en_5.5.0_3.0_1726630910303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tagch_en_5.5.0_3.0_1726630910303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_tagch|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TAGCH/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_teraz_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_teraz_en.md
new file mode 100644
index 00000000000000..f14b63ad8ad578
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_teraz_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_teraz DistilBertForSequenceClassification from Teraz
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_teraz
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_teraz` is a English model originally trained by Teraz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_teraz_en_5.5.0_3.0_1726630591885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_teraz_en_5.5.0_3.0_1726630591885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_teraz|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Teraz/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_uisikdag_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_uisikdag_pipeline_en.md
new file mode 100644
index 00000000000000..95d49a490e2018
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_uisikdag_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_uisikdag_pipeline pipeline DistilBertForSequenceClassification from uisikdag
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_uisikdag_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_uisikdag_pipeline` is a English model originally trained by uisikdag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_uisikdag_pipeline_en_5.5.0_3.0_1726696438671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_uisikdag_pipeline_en_5.5.0_3.0_1726696438671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_uisikdag_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_uisikdag_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_uisikdag_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/uisikdag/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_waynesunwen_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_waynesunwen_pipeline_en.md
new file mode 100644
index 00000000000000..9b5e5be534f6eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_waynesunwen_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_waynesunwen_pipeline pipeline DistilBertForSequenceClassification from waynesunwen
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_waynesunwen_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_waynesunwen_pipeline` is a English model originally trained by waynesunwen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_waynesunwen_pipeline_en_5.5.0_3.0_1726696335722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_waynesunwen_pipeline_en_5.5.0_3.0_1726696335722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_waynesunwen_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_waynesunwen_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_waynesunwen_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/waynesunwen/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_xysj2012_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_xysj2012_pipeline_en.md
new file mode 100644
index 00000000000000..6f7d2912a1b652
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotion_xysj2012_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_xysj2012_pipeline pipeline DistilBertForSequenceClassification from xysj2012
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_xysj2012_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_xysj2012_pipeline` is a English model originally trained by xysj2012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_xysj2012_pipeline_en_5.5.0_3.0_1726630433981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_xysj2012_pipeline_en_5.5.0_3.0_1726630433981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_xysj2012_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_xysj2012_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_xysj2012_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/xysj2012/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotions_sangeeths11_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotions_sangeeths11_pipeline_en.md
new file mode 100644
index 00000000000000..b0b2f6edd62ab6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_emotions_sangeeths11_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotions_sangeeths11_pipeline pipeline DistilBertForSequenceClassification from sangeeths11
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotions_sangeeths11_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_sangeeths11_pipeline` is a English model originally trained by sangeeths11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_sangeeths11_pipeline_en_5.5.0_3.0_1726696432884.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_sangeeths11_pipeline_en_5.5.0_3.0_1726696432884.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotions_sangeeths11_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotions_sangeeths11_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotions_sangeeths11_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sangeeths11/distilbert-base-uncased-finetuned-emotions
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_pipeline_en.md
new file mode 100644
index 00000000000000..69d9b1211be423
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_pipeline pipeline DistilBertForSequenceClassification from kghanlon
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_pipeline` is a English model originally trained by kghanlon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_pipeline_en_5.5.0_3.0_1726630185154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_pipeline_en_5.5.0_3.0_1726630185154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kghanlon/distilbert-base-uncased-finetuned-MP-unannotated-half-frozen-v1-RILE-v1_frozen_4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_alexcoliveira_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_alexcoliveira_en.md
new file mode 100644
index 00000000000000..e8fd244bebae97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_alexcoliveira_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_alexcoliveira DistilBertForQuestionAnswering from alexcoliveira
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_alexcoliveira
+date: 2024-09-18
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_alexcoliveira` is a English model originally trained by alexcoliveira.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_alexcoliveira_en_5.5.0_3.0_1726640977160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_alexcoliveira_en_5.5.0_3.0_1726640977160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_alexcoliveira|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/alexcoliveira/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_cinoss_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_cinoss_pipeline_en.md
new file mode 100644
index 00000000000000..e99ebab65773b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_cinoss_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_cinoss_pipeline pipeline DistilBertForQuestionAnswering from cinoss
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_cinoss_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_cinoss_pipeline` is a English model originally trained by cinoss.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_cinoss_pipeline_en_5.5.0_3.0_1726640740057.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_cinoss_pipeline_en_5.5.0_3.0_1726640740057.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_cinoss_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_cinoss_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_cinoss_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/cinoss/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_d5716d28_mdance_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_d5716d28_mdance_en.md
new file mode 100644
index 00000000000000..10d95a0024ed12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_d5716d28_mdance_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_mdance DistilBertForQuestionAnswering from mdance
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_mdance
+date: 2024-09-18
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_mdance` is a English model originally trained by mdance.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_mdance_en_5.5.0_3.0_1726641091398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_mdance_en_5.5.0_3.0_1726641091398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_mdance|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/mdance/distilbert-base-uncased-finetuned-squad-d5716d28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_d5716d28_mdance_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_d5716d28_mdance_pipeline_en.md
new file mode 100644
index 00000000000000..19e5016638aec1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_d5716d28_mdance_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_mdance_pipeline pipeline DistilBertForQuestionAnswering from mdance
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_mdance_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_mdance_pipeline` is a English model originally trained by mdance.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_mdance_pipeline_en_5.5.0_3.0_1726641103347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_mdance_pipeline_en_5.5.0_3.0_1726641103347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_mdance_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_mdance_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_mdance_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mdance/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_rajkiran_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_rajkiran_en.md
new file mode 100644
index 00000000000000..b512f67009d883
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_rajkiran_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_rajkiran DistilBertForQuestionAnswering from rajkiran
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_rajkiran
+date: 2024-09-18
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_rajkiran` is a English model originally trained by rajkiran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_rajkiran_en_5.5.0_3.0_1726640682899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_rajkiran_en_5.5.0_3.0_1726640682899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_rajkiran|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/rajkiran/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_rajkiran_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_rajkiran_pipeline_en.md
new file mode 100644
index 00000000000000..6c3b4cb8381eb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_rajkiran_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_rajkiran_pipeline pipeline DistilBertForQuestionAnswering from rajkiran
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_rajkiran_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_rajkiran_pipeline` is a English model originally trained by rajkiran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_rajkiran_pipeline_en_5.5.0_3.0_1726640697554.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_rajkiran_pipeline_en_5.5.0_3.0_1726640697554.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_rajkiran_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_rajkiran_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_rajkiran_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rajkiran/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_soullllll_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_soullllll_en.md
new file mode 100644
index 00000000000000..318852e59a5414
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_soullllll_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_soullllll DistilBertForQuestionAnswering from soullllll
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_soullllll
+date: 2024-09-18
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_soullllll` is a English model originally trained by soullllll.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_soullllll_en_5.5.0_3.0_1726640794286.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_soullllll_en_5.5.0_3.0_1726640794286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_soullllll|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/soullllll/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_yeoni0208_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_yeoni0208_pipeline_en.md
new file mode 100644
index 00000000000000..cc4eb6fc1dd7c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_squad_yeoni0208_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_yeoni0208_pipeline pipeline DistilBertForQuestionAnswering from yeoni0208
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_yeoni0208_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_yeoni0208_pipeline` is a English model originally trained by yeoni0208.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_yeoni0208_pipeline_en_5.5.0_3.0_1726640803447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_yeoni0208_pipeline_en_5.5.0_3.0_1726640803447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_yeoni0208_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_yeoni0208_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_yeoni0208_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/yeoni0208/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_sst2_dinhlnd1610_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_sst2_dinhlnd1610_en.md
new file mode 100644
index 00000000000000..98ebeaabe7216b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_sst2_dinhlnd1610_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst2_dinhlnd1610 DistilBertForSequenceClassification from dinhlnd1610
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst2_dinhlnd1610
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_dinhlnd1610` is a English model originally trained by dinhlnd1610.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_dinhlnd1610_en_5.5.0_3.0_1726630803452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_dinhlnd1610_en_5.5.0_3.0_1726630803452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst2_dinhlnd1610|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dinhlnd1610/distilbert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_t_generic_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_t_generic_en.md
new file mode 100644
index 00000000000000..a0440ee23dbe5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_t_generic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_t_generic DistilBertForSequenceClassification from Gregorig
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_t_generic
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_t_generic` is a English model originally trained by Gregorig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_t_generic_en_5.5.0_3.0_1726696541782.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_t_generic_en_5.5.0_3.0_1726696541782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_t_generic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Gregorig/distilbert-base-uncased-finetuned-t_generic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_t_generic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_t_generic_pipeline_en.md
new file mode 100644
index 00000000000000..cdd87ee0f4475d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_t_generic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_t_generic_pipeline pipeline DistilBertForSequenceClassification from Gregorig
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_t_generic_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_t_generic_pipeline` is a English model originally trained by Gregorig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_t_generic_pipeline_en_5.5.0_3.0_1726696554994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_t_generic_pipeline_en_5.5.0_3.0_1726696554994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_t_generic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_t_generic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_t_generic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Gregorig/distilbert-base-uncased-finetuned-t_generic
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_kitchen_and_dining_zphr_0st72_ut52ut1_plain_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_kitchen_and_dining_zphr_0st72_ut52ut1_plain_simsp_en.md
new file mode 100644
index 00000000000000..0c097960af7ab9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_kitchen_and_dining_zphr_0st72_ut52ut1_plain_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_kitchen_and_dining_zphr_0st72_ut52ut1_plain_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_kitchen_and_dining_zphr_0st72_ut52ut1_plain_simsp
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_kitchen_and_dining_zphr_0st72_ut52ut1_plain_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_kitchen_and_dining_zphr_0st72_ut52ut1_plain_simsp_en_5.5.0_3.0_1726680111837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_kitchen_and_dining_zphr_0st72_ut52ut1_plain_simsp_en_5.5.0_3.0_1726680111837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_kitchen_and_dining_zphr_0st72_ut52ut1_plain_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_kitchen_and_dining_zphr_0st72_ut52ut1_plain_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_luciayn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_luciayn_pipeline_en.md
new file mode 100644
index 00000000000000..d59edfeacaca28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_luciayn_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_luciayn_pipeline pipeline DistilBertForSequenceClassification from luciayn
+author: John Snow Labs
+name: distilbert_base_uncased_luciayn_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_luciayn_pipeline` is a English model originally trained by luciayn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_luciayn_pipeline_en_5.5.0_3.0_1726680718235.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_luciayn_pipeline_en_5.5.0_3.0_1726680718235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_luciayn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_luciayn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_luciayn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/luciayn/distilbert_base_uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_en.md
new file mode 100644
index 00000000000000..84e392c0e841be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_en_5.5.0_3.0_1726680420351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200_en_5.5.0_3.0_1726680420351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st10sd_ut72ut1large10pfxnf_simsp400_clean200|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st10sd_ut72ut1large10PfxNf_simsp400_clean200
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_en.md
new file mode 100644
index 00000000000000..674dc7de5a9152
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_en_5.5.0_3.0_1726676869126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200_en_5.5.0_3.0_1726676869126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1largepfxnf_simsp300_clean200|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st11sd_ut72ut1largePfxNf_simsp300_clean200
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_pipeline_en.md
new file mode 100644
index 00000000000000..e6619bdfeef1a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_pipeline_en_5.5.0_3.0_1726630600620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_pipeline_en_5.5.0_3.0_1726630600620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1large12pfxnf_simsp400_clean200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st12sd_ut72ut1large12PfxNf_simsp400_clean200
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..5831eb1838973a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean100_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean100_pipeline_en_5.5.0_3.0_1726680129063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean100_pipeline_en_5.5.0_3.0_1726680129063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st12sd_ut72ut1largepfxnf_simsp300_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st12sd_ut72ut1largePfxNf_simsp300_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..ff7fba5caa95c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_pipeline_en_5.5.0_3.0_1726669977800.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_pipeline_en_5.5.0_3.0_1726669977800.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st23sd_ut72ut1_plprefix0stlarge23_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st23sd_ut72ut1_PLPrefix0stlarge23_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st3sd_ut72ut1_plprefix0stlarge_simsp300_clean200_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st3sd_ut72ut1_plprefix0stlarge_simsp300_clean200_en.md
new file mode 100644
index 00000000000000..b1a3f27853e8d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st3sd_ut72ut1_plprefix0stlarge_simsp300_clean200_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st3sd_ut72ut1_plprefix0stlarge_simsp300_clean200 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st3sd_ut72ut1_plprefix0stlarge_simsp300_clean200
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st3sd_ut72ut1_plprefix0stlarge_simsp300_clean200` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st3sd_ut72ut1_plprefix0stlarge_simsp300_clean200_en_5.5.0_3.0_1726680302027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st3sd_ut72ut1_plprefix0stlarge_simsp300_clean200_en_5.5.0_3.0_1726680302027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st3sd_ut72ut1_plprefix0stlarge_simsp300_clean200|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st3sd_ut72ut1_PLPrefix0stlarge_simsp300_clean200
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge21_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge21_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..e2879f5b534185
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge21_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge21_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge21_simsp_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge21_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge21_simsp_pipeline_en_5.5.0_3.0_1726677232702.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge21_simsp_pipeline_en_5.5.0_3.0_1726677232702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge21_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge21_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge21_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st42sd_ut72ut1_PLPrefix0stlarge21_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st8sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st8sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline_en.md
new file mode 100644
index 00000000000000..46d855f1f9b688
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_odm_zphr_0st8sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st8sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st8sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st8sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st8sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline_en_5.5.0_3.0_1726681383300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st8sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline_en_5.5.0_3.0_1726681383300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st8sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st8sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st8sd_ut72ut5_plprefix0stlarge_simsp100_clean200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st8sd_ut72ut5_PLPrefix0stlarge_simsp100_clean200
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_squad2_lora_merged_p10_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_squad2_lora_merged_p10_en.md
new file mode 100644
index 00000000000000..f91f7a1fa7f9ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_squad2_lora_merged_p10_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_lora_merged_p10 DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_lora_merged_p10
+date: 2024-09-18
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_lora_merged_p10` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_lora_merged_p10_en_5.5.0_3.0_1726640971252.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_lora_merged_p10_en_5.5.0_3.0_1726640971252.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_lora_test|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|156.4 MB|
+
+## References
+
+https://huggingface.co/JeukHwang/distilbert-base-uncased-squad2-lora-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_squad2_lora_test_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_squad2_lora_test_pipeline_en.md
new file mode 100644
index 00000000000000..95547920b1fe2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_squad2_lora_test_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_lora_test_pipeline pipeline DistilBertForQuestionAnswering from JeukHwang
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_lora_test_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_lora_test_pipeline` is a English model originally trained by JeukHwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_lora_test_pipeline_en_5.5.0_3.0_1726640911028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_lora_test_pipeline_en_5.5.0_3.0_1726640911028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_squad2_lora_test_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_squad2_lora_test_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_lora_test_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|156.4 MB|
+
+## References
+
+https://huggingface.co/JeukHwang/distilbert-base-uncased-squad2-lora-test
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_squad2_p85_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_squad2_p85_en.md
new file mode 100644
index 00000000000000..027399554dabf1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_squad2_p85_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_p85 DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_p85
+date: 2024-09-18
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_p85` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p85_en_5.5.0_3.0_1726641153424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p85_en_5.5.0_3.0_1726641153424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_p85|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|130.7 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-p85
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut102ut10_plain_simsp_clean_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut102ut10_plain_simsp_clean_en.md
new file mode 100644
index 00000000000000..e54afd9daa0699
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut102ut10_plain_simsp_clean_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_0st_ut102ut10_plain_simsp_clean DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_0st_ut102ut10_plain_simsp_clean
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_0st_ut102ut10_plain_simsp_clean` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut102ut10_plain_simsp_clean_en_5.5.0_3.0_1726696170130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut102ut10_plain_simsp_clean_en_5.5.0_3.0_1726696170130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_0st_ut102ut10_plain_simsp_clean|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_0st_ut102ut10_plain_simsp_clean
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..a216e0e332f808
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_pipeline_en_5.5.0_3.0_1726696542690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_pipeline_en_5.5.0_3.0_1726696542690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainvalprefixlora_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_0st_ut102ut1_plainValPrefixLora_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut72ut1_ad7_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut72ut1_ad7_simsp_en.md
new file mode 100644
index 00000000000000..df8a38d657e02a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_travel_zphr_0st_ut72ut1_ad7_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_0st_ut72ut1_ad7_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_0st_ut72ut1_ad7_simsp
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_0st_ut72ut1_ad7_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut72ut1_ad7_simsp_en_5.5.0_3.0_1726696336287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut72ut1_ad7_simsp_en_5.5.0_3.0_1726696336287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_0st_ut72ut1_ad7_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_0st_ut72ut1_ad7_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_en.md
new file mode 100644
index 00000000000000..7adf6f2e8855ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_en_5.5.0_3.0_1726680629620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean_en_5.5.0_3.0_1726680629620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_work_zphr_0st_ut102ut10_plain_simsp_clean|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_work_zphr_0st_ut102ut10_plain_simsp_clean
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_en.md
new file mode 100644
index 00000000000000..8b6da3265537a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_en_5.5.0_3.0_1726677493037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp_en_5.5.0_3.0_1726677493037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_work_zphr_0st_ut52ut1_ad7_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_work_zphr_0st_ut52ut1_ad7_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_emotion_muratkznc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_emotion_muratkznc_pipeline_en.md
new file mode 100644
index 00000000000000..3e3a65258d4ccb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_emotion_muratkznc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_emotion_muratkznc_pipeline pipeline DistilBertForSequenceClassification from MuratKZNC
+author: John Snow Labs
+name: distilbert_emotion_muratkznc_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_muratkznc_pipeline` is a English model originally trained by MuratKZNC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_muratkznc_pipeline_en_5.5.0_3.0_1726677300026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_muratkznc_pipeline_en_5.5.0_3.0_1726677300026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_emotion_muratkznc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_emotion_muratkznc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_muratkznc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MuratKZNC/distilbert-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_emotion_neelaa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_emotion_neelaa_pipeline_en.md
new file mode 100644
index 00000000000000..e0b03ecbc9b1a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_emotion_neelaa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_emotion_neelaa_pipeline pipeline DistilBertForSequenceClassification from neelaa
+author: John Snow Labs
+name: distilbert_emotion_neelaa_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_neelaa_pipeline` is a English model originally trained by neelaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_neelaa_pipeline_en_5.5.0_3.0_1726625679242.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_neelaa_pipeline_en_5.5.0_3.0_1726625679242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_emotion_neelaa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_emotion_neelaa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_neelaa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/neelaa/distilbert-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_foundation_category_c6_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_foundation_category_c6_en.md
new file mode 100644
index 00000000000000..9c548dba194ff0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_foundation_category_c6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_foundation_category_c6 DistilBertForSequenceClassification from eric-mc2
+author: John Snow Labs
+name: distilbert_foundation_category_c6
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_foundation_category_c6` is a English model originally trained by eric-mc2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_foundation_category_c6_en_5.5.0_3.0_1726695903648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_foundation_category_c6_en_5.5.0_3.0_1726695903648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_foundation_category_c6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/eric-mc2/distilbert-foundation-category-c6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_imdb_huiang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_imdb_huiang_pipeline_en.md
new file mode 100644
index 00000000000000..ec2f5f29f975a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_imdb_huiang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_imdb_huiang_pipeline pipeline DistilBertForSequenceClassification from huiang
+author: John Snow Labs
+name: distilbert_imdb_huiang_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_huiang_pipeline` is a English model originally trained by huiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_huiang_pipeline_en_5.5.0_3.0_1726630984324.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_huiang_pipeline_en_5.5.0_3.0_1726630984324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_imdb_huiang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_imdb_huiang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_huiang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/huiang/distilbert-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_label_manipulation_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_label_manipulation_en.md
new file mode 100644
index 00000000000000..ea234a1a280b8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_label_manipulation_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_label_manipulation DistilBertForSequenceClassification from EllipticCurve
+author: John Snow Labs
+name: distilbert_label_manipulation
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_label_manipulation` is a English model originally trained by EllipticCurve.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_label_manipulation_en_5.5.0_3.0_1726630679706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_label_manipulation_en_5.5.0_3.0_1726630679706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_label_manipulation|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/EllipticCurve/DistilBERT-label-manipulation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_lr_linear_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_lr_linear_en.md
new file mode 100644
index 00000000000000..01fb1eb34e5458
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_lr_linear_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_lr_linear DistilBertForSequenceClassification from K-kiron
+author: John Snow Labs
+name: distilbert_lr_linear
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_lr_linear` is a English model originally trained by K-kiron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_lr_linear_en_5.5.0_3.0_1726625556126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_lr_linear_en_5.5.0_3.0_1726625556126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_lr_linear|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/K-kiron/distilbert-lr-linear
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_mental_health_classification_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_mental_health_classification_en.md
new file mode 100644
index 00000000000000..452381e21a221a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_mental_health_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_mental_health_classification DistilBertForSequenceClassification from AnuradhaPoddar
+author: John Snow Labs
+name: distilbert_mental_health_classification
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_mental_health_classification` is a English model originally trained by AnuradhaPoddar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_mental_health_classification_en_5.5.0_3.0_1726681577996.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_mental_health_classification_en_5.5.0_3.0_1726681577996.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_mental_health_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AnuradhaPoddar/distilbert_mental_health_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_mental_health_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_mental_health_classification_pipeline_en.md
new file mode 100644
index 00000000000000..7c4804179b245e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_mental_health_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_mental_health_classification_pipeline pipeline DistilBertForSequenceClassification from AnuradhaPoddar
+author: John Snow Labs
+name: distilbert_mental_health_classification_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_mental_health_classification_pipeline` is a English model originally trained by AnuradhaPoddar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_mental_health_classification_pipeline_en_5.5.0_3.0_1726681592769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_mental_health_classification_pipeline_en_5.5.0_3.0_1726681592769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_mental_health_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_mental_health_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_mental_health_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AnuradhaPoddar/distilbert_mental_health_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_qa_pytorch_seed_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_qa_pytorch_seed_pipeline_en.md
new file mode 100644
index 00000000000000..76b28cabd3418a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_qa_pytorch_seed_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_qa_pytorch_seed_pipeline pipeline DistilBertForQuestionAnswering from tyavika
+author: John Snow Labs
+name: distilbert_qa_pytorch_seed_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_qa_pytorch_seed_pipeline` is a English model originally trained by tyavika.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_pytorch_seed_pipeline_en_5.5.0_3.0_1726641002776.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_pytorch_seed_pipeline_en_5.5.0_3.0_1726641002776.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_qa_pytorch_seed_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_qa_pytorch_seed_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_pytorch_seed_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/tyavika/Distilbert-QA-Pytorch-seed
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_pipeline_en.md
new file mode 100644
index 00000000000000..82ec8ef119c369
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_pipeline_en_5.5.0_3.0_1726677578292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_pipeline_en_5.5.0_3.0_1726677578292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_rte_192_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|52.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_rte_192
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_sentiment_analysis_ellipticcurve_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_sentiment_analysis_ellipticcurve_pipeline_en.md
new file mode 100644
index 00000000000000..a963cb3c5498a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_sentiment_analysis_ellipticcurve_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sentiment_analysis_ellipticcurve_pipeline pipeline DistilBertForSequenceClassification from EllipticCurve
+author: John Snow Labs
+name: distilbert_sentiment_analysis_ellipticcurve_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sentiment_analysis_ellipticcurve_pipeline` is a English model originally trained by EllipticCurve.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_analysis_ellipticcurve_pipeline_en_5.5.0_3.0_1726669899011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_analysis_ellipticcurve_pipeline_en_5.5.0_3.0_1726669899011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sentiment_analysis_ellipticcurve_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sentiment_analysis_ellipticcurve_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sentiment_analysis_ellipticcurve_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/EllipticCurve/DistilBERT-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_turkish_turkish_news_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_turkish_turkish_news_pipeline_tr.md
new file mode 100644
index 00000000000000..617611e3d88b53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_turkish_turkish_news_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish distilbert_turkish_turkish_news_pipeline pipeline DistilBertForSequenceClassification from anilguven
+author: John Snow Labs
+name: distilbert_turkish_turkish_news_pipeline
+date: 2024-09-18
+tags: [tr, open_source, pipeline, onnx]
+task: Text Classification
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_turkish_turkish_news_pipeline` is a Turkish model originally trained by anilguven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_turkish_turkish_news_pipeline_tr_5.5.0_3.0_1726676883591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_turkish_turkish_news_pipeline_tr_5.5.0_3.0_1726676883591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_turkish_turkish_news_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_turkish_turkish_news_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_turkish_turkish_news_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|254.1 MB|
+
+## References
+
+https://huggingface.co/anilguven/distilbert_tr_turkish_news
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_twitterfin_padding90model_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_twitterfin_padding90model_en.md
new file mode 100644
index 00000000000000..31eebf17de7682
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_twitterfin_padding90model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_twitterfin_padding90model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_twitterfin_padding90model
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_twitterfin_padding90model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_twitterfin_padding90model_en_5.5.0_3.0_1726695452851.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_twitterfin_padding90model_en_5.5.0_3.0_1726695452851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_twitterfin_padding90model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_twitterfin_padding90model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbertfinetunehs3e8bhlr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbertfinetunehs3e8bhlr_pipeline_en.md
new file mode 100644
index 00000000000000..f41fbe3ffb8f64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbertfinetunehs3e8bhlr_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbertfinetunehs3e8bhlr_pipeline pipeline DistilBertForQuestionAnswering from KarthikAlagarsamy
+author: John Snow Labs
+name: distilbertfinetunehs3e8bhlr_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbertfinetunehs3e8bhlr_pipeline` is a English model originally trained by KarthikAlagarsamy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbertfinetunehs3e8bhlr_pipeline_en_5.5.0_3.0_1726644347206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbertfinetunehs3e8bhlr_pipeline_en_5.5.0_3.0_1726644347206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbertfinetunehs3e8bhlr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbertfinetunehs3e8bhlr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbertfinetunehs3e8bhlr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/KarthikAlagarsamy/distilbertfinetuneHS3E8BHLR
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbertforclassification_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbertforclassification_en.md
new file mode 100644
index 00000000000000..faecc928514815
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbertforclassification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbertforclassification DistilBertForSequenceClassification from poooj
+author: John Snow Labs
+name: distilbertforclassification
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbertforclassification` is a English model originally trained by poooj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbertforclassification_en_5.5.0_3.0_1726680509003.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbertforclassification_en_5.5.0_3.0_1726680509003.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbertforclassification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/poooj/DistilBERTForClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilkobert_ep4_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilkobert_ep4_en.md
new file mode 100644
index 00000000000000..a821b4a394611f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilkobert_ep4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilkobert_ep4 DistilBertForSequenceClassification from yeye776
+author: John Snow Labs
+name: distilkobert_ep4
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilkobert_ep4` is a English model originally trained by yeye776.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilkobert_ep4_en_5.5.0_3.0_1726681677016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilkobert_ep4_en_5.5.0_3.0_1726681677016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilkobert_ep4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|106.5 MB|
+
+## References
+
+https://huggingface.co/yeye776/DistilKoBERT-ep4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_fb_housing_posts_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_fb_housing_posts_en.md
new file mode 100644
index 00000000000000..67594f95127d0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_fb_housing_posts_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_base_fb_housing_posts RoBertaForSequenceClassification from hoaj
+author: John Snow Labs
+name: distilroberta_base_fb_housing_posts
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_fb_housing_posts` is a English model originally trained by hoaj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_fb_housing_posts_en_5.5.0_3.0_1726622372318.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_fb_housing_posts_en_5.5.0_3.0_1726622372318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_fb_housing_posts|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/hoaj/distilroberta-base-fb-housing-posts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_fb_housing_posts_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_fb_housing_posts_pipeline_en.md
new file mode 100644
index 00000000000000..3587788e6cdb6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_fb_housing_posts_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_fb_housing_posts_pipeline pipeline RoBertaForSequenceClassification from hoaj
+author: John Snow Labs
+name: distilroberta_base_fb_housing_posts_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_fb_housing_posts_pipeline` is a English model originally trained by hoaj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_fb_housing_posts_pipeline_en_5.5.0_3.0_1726622386912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_fb_housing_posts_pipeline_en_5.5.0_3.0_1726622386912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_fb_housing_posts_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_fb_housing_posts_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_fb_housing_posts_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.1 MB|
+
+## References
+
+https://huggingface.co/hoaj/distilroberta-base-fb-housing-posts
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_finetuned_agnews_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_finetuned_agnews_en.md
new file mode 100644
index 00000000000000..f2dcff2aadbbc8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_finetuned_agnews_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_base_finetuned_agnews RoBertaForSequenceClassification from tamhuynh27
+author: John Snow Labs
+name: distilroberta_base_finetuned_agnews
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_finetuned_agnews` is a English model originally trained by tamhuynh27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_agnews_en_5.5.0_3.0_1726665829805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_agnews_en_5.5.0_3.0_1726665829805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_finetuned_agnews|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.7 MB|
+
+## References
+
+https://huggingface.co/tamhuynh27/distilroberta-base-finetuned-agnews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_mrpc_glue_alvaro_castillo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_mrpc_glue_alvaro_castillo_pipeline_en.md
new file mode 100644
index 00000000000000..70642d29983d3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_mrpc_glue_alvaro_castillo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_mrpc_glue_alvaro_castillo_pipeline pipeline RoBertaForSequenceClassification from Mrbanano
+author: John Snow Labs
+name: distilroberta_base_mrpc_glue_alvaro_castillo_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_mrpc_glue_alvaro_castillo_pipeline` is a English model originally trained by Mrbanano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_alvaro_castillo_pipeline_en_5.5.0_3.0_1726690251747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_alvaro_castillo_pipeline_en_5.5.0_3.0_1726690251747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_mrpc_glue_alvaro_castillo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_mrpc_glue_alvaro_castillo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_mrpc_glue_alvaro_castillo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/Mrbanano/distilroberta-base-mrpc-glue-alvaro-castillo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_rocstories_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_rocstories_pipeline_en.md
new file mode 100644
index 00000000000000..051d77262a2475
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilroberta_base_rocstories_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_rocstories_pipeline pipeline RoBertaForSequenceClassification from KeiHeityuu
+author: John Snow Labs
+name: distilroberta_base_rocstories_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_rocstories_pipeline` is a English model originally trained by KeiHeityuu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_rocstories_pipeline_en_5.5.0_3.0_1726665755403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_rocstories_pipeline_en_5.5.0_3.0_1726665755403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_rocstories_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_rocstories_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_rocstories_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.7 MB|
+
+## References
+
+https://huggingface.co/KeiHeityuu/distilroberta-base-rocstories
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-divya_resume_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-divya_resume_model_pipeline_en.md
new file mode 100644
index 00000000000000..947e0d9d46651a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-divya_resume_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English divya_resume_model_pipeline pipeline DistilBertForSequenceClassification from Divyaamith
+author: John Snow Labs
+name: divya_resume_model_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`divya_resume_model_pipeline` is a English model originally trained by Divyaamith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/divya_resume_model_pipeline_en_5.5.0_3.0_1726676875580.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/divya_resume_model_pipeline_en_5.5.0_3.0_1726676875580.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("divya_resume_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("divya_resume_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|divya_resume_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Divyaamith/divya_resume_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-ecomm_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-ecomm_model_pipeline_en.md
new file mode 100644
index 00000000000000..b9eb9fad00e69d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-ecomm_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ecomm_model_pipeline pipeline DistilBertForSequenceClassification from aaanhnht
+author: John Snow Labs
+name: ecomm_model_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ecomm_model_pipeline` is a English model originally trained by aaanhnht.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ecomm_model_pipeline_en_5.5.0_3.0_1726625870080.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ecomm_model_pipeline_en_5.5.0_3.0_1726625870080.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ecomm_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ecomm_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ecomm_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aaanhnht/ecomm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-eemm_dimensions_12012024_en.md b/docs/_posts/ahmedlone127/2024-09-18-eemm_dimensions_12012024_en.md
new file mode 100644
index 00000000000000..988cce21f65ca3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-eemm_dimensions_12012024_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English eemm_dimensions_12012024 DistilBertForSequenceClassification from chernandezc
+author: John Snow Labs
+name: eemm_dimensions_12012024
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`eemm_dimensions_12012024` is a English model originally trained by chernandezc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/eemm_dimensions_12012024_en_5.5.0_3.0_1726625457393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/eemm_dimensions_12012024_en_5.5.0_3.0_1726625457393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|eemm_dimensions_12012024|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chernandezc/EEMM_Dimensions_12012024
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-elicitsbackgroundknowledge_a6000_0_00001_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-elicitsbackgroundknowledge_a6000_0_00001_pipeline_en.md
new file mode 100644
index 00000000000000..91b23dda34fc3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-elicitsbackgroundknowledge_a6000_0_00001_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English elicitsbackgroundknowledge_a6000_0_00001_pipeline pipeline RoBertaForSequenceClassification from rose-e-wang
+author: John Snow Labs
+name: elicitsbackgroundknowledge_a6000_0_00001_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`elicitsbackgroundknowledge_a6000_0_00001_pipeline` is a English model originally trained by rose-e-wang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/elicitsbackgroundknowledge_a6000_0_00001_pipeline_en_5.5.0_3.0_1726627656636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/elicitsbackgroundknowledge_a6000_0_00001_pipeline_en_5.5.0_3.0_1726627656636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("elicitsbackgroundknowledge_a6000_0_00001_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("elicitsbackgroundknowledge_a6000_0_00001_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|elicitsbackgroundknowledge_a6000_0_00001_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/rose-e-wang/elicitsBackgroundKnowledge_a6000_0.00001
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-ellis_v1_emotion_leadership12_en.md b/docs/_posts/ahmedlone127/2024-09-18-ellis_v1_emotion_leadership12_en.md
new file mode 100644
index 00000000000000..6acb932a285428
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-ellis_v1_emotion_leadership12_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ellis_v1_emotion_leadership12 DistilBertForSequenceClassification from gsl22
+author: John Snow Labs
+name: ellis_v1_emotion_leadership12
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ellis_v1_emotion_leadership12` is a English model originally trained by gsl22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ellis_v1_emotion_leadership12_en_5.5.0_3.0_1726696524612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ellis_v1_emotion_leadership12_en_5.5.0_3.0_1726696524612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ellis_v1_emotion_leadership12|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/gsl22/ellis-v1-emotion-leadership12
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-emotions_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-emotions_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..ebc08cc6f144c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-emotions_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English emotions_classifier_pipeline pipeline DistilBertForSequenceClassification from XtraPatrick987
+author: John Snow Labs
+name: emotions_classifier_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotions_classifier_pipeline` is a English model originally trained by XtraPatrick987.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotions_classifier_pipeline_en_5.5.0_3.0_1726680658193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotions_classifier_pipeline_en_5.5.0_3.0_1726680658193.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("emotions_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("emotions_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotions_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/XtraPatrick987/emotions-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-empathic_concern_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-empathic_concern_pipeline_en.md
new file mode 100644
index 00000000000000..b2dd2372e367e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-empathic_concern_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English empathic_concern_pipeline pipeline RoBertaForSequenceClassification from codesj
+author: John Snow Labs
+name: empathic_concern_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`empathic_concern_pipeline` is a English model originally trained by codesj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/empathic_concern_pipeline_en_5.5.0_3.0_1726628450534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/empathic_concern_pipeline_en_5.5.0_3.0_1726628450534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("empathic_concern_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("empathic_concern_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|empathic_concern_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|431.3 MB|
+
+## References
+
+https://huggingface.co/codesj/empathic-concern
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-esg_classification_bert_all_data_0509_other_v2_en.md b/docs/_posts/ahmedlone127/2024-09-18-esg_classification_bert_all_data_0509_other_v2_en.md
new file mode 100644
index 00000000000000..92ba6347b87643
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-esg_classification_bert_all_data_0509_other_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English esg_classification_bert_all_data_0509_other_v2 RoBertaForSequenceClassification from dsmsb
+author: John Snow Labs
+name: esg_classification_bert_all_data_0509_other_v2
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`esg_classification_bert_all_data_0509_other_v2` is a English model originally trained by dsmsb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/esg_classification_bert_all_data_0509_other_v2_en_5.5.0_3.0_1726641819985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/esg_classification_bert_all_data_0509_other_v2_en_5.5.0_3.0_1726641819985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esg_classification_bert_all_data_0509_other_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.7 MB|
+
+## References
+
+https://huggingface.co/dsmsb/esg-classification_bert_all_data_0509_other_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-fake_news_classifier_mahendrakharra_en.md b/docs/_posts/ahmedlone127/2024-09-18-fake_news_classifier_mahendrakharra_en.md
new file mode 100644
index 00000000000000..87abc50b732344
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-fake_news_classifier_mahendrakharra_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fake_news_classifier_mahendrakharra DistilBertForSequenceClassification from Mahendrakharra
+author: John Snow Labs
+name: fake_news_classifier_mahendrakharra
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_classifier_mahendrakharra` is a English model originally trained by Mahendrakharra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_classifier_mahendrakharra_en_5.5.0_3.0_1726680844635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_classifier_mahendrakharra_en_5.5.0_3.0_1726680844635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_classifier_mahendrakharra|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mahendrakharra/Fake-News-Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-fake_news_classifier_mahendrakharra_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-fake_news_classifier_mahendrakharra_pipeline_en.md
new file mode 100644
index 00000000000000..9b9bd72a28dec2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-fake_news_classifier_mahendrakharra_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fake_news_classifier_mahendrakharra_pipeline pipeline DistilBertForSequenceClassification from Mahendrakharra
+author: John Snow Labs
+name: fake_news_classifier_mahendrakharra_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_classifier_mahendrakharra_pipeline` is a English model originally trained by Mahendrakharra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_classifier_mahendrakharra_pipeline_en_5.5.0_3.0_1726680857362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_classifier_mahendrakharra_pipeline_en_5.5.0_3.0_1726680857362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fake_news_classifier_mahendrakharra_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fake_news_classifier_mahendrakharra_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_classifier_mahendrakharra_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mahendrakharra/Fake-News-Classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-fake_news_detect_en.md b/docs/_posts/ahmedlone127/2024-09-18-fake_news_detect_en.md
new file mode 100644
index 00000000000000..acff6c2544f28b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-fake_news_detect_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fake_news_detect DistilBertForSequenceClassification from Hemg
+author: John Snow Labs
+name: fake_news_detect
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_detect` is a English model originally trained by Hemg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_detect_en_5.5.0_3.0_1726676988797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_detect_en_5.5.0_3.0_1726676988797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|financial_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/anablasi/financial_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-fine_tune_embeddnew_sih_2_en.md b/docs/_posts/ahmedlone127/2024-09-18-fine_tune_embeddnew_sih_2_en.md
new file mode 100644
index 00000000000000..008668728ebc3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-fine_tune_embeddnew_sih_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tune_embeddnew_sih_2 BertForSequenceClassification from shashaaa
+author: John Snow Labs
+name: fine_tune_embeddnew_sih_2
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_embeddnew_sih_2` is a English model originally trained by shashaaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_embeddnew_sih_2_en_5.5.0_3.0_1726624336321.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_embeddnew_sih_2_en_5.5.0_3.0_1726624336321.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_embeddnew_sih_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/shashaaa/fine_tune_embeddnew_SIH_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-fine_tune_roberta_exist_fine_grained_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-fine_tune_roberta_exist_fine_grained_pipeline_en.md
new file mode 100644
index 00000000000000..88df708b55471a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-fine_tune_roberta_exist_fine_grained_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tune_roberta_exist_fine_grained_pipeline pipeline RoBertaForSequenceClassification from nouman-10
+author: John Snow Labs
+name: fine_tune_roberta_exist_fine_grained_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_roberta_exist_fine_grained_pipeline` is a English model originally trained by nouman-10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_roberta_exist_fine_grained_pipeline_en_5.5.0_3.0_1726642052126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_roberta_exist_fine_grained_pipeline_en_5.5.0_3.0_1726642052126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tune_roberta_exist_fine_grained_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tune_roberta_exist_fine_grained_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_roberta_exist_fine_grained_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/nouman-10/fine-tune-roberta-exist-fine-grained
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-fine_tuned_bert_model_classification_en.md b/docs/_posts/ahmedlone127/2024-09-18-fine_tuned_bert_model_classification_en.md
new file mode 100644
index 00000000000000..0213bbe13da071
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-fine_tuned_bert_model_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuned_bert_model_classification BertForSequenceClassification from KareenaBeniwal
+author: John Snow Labs
+name: fine_tuned_bert_model_classification
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_bert_model_classification` is a English model originally trained by KareenaBeniwal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_bert_model_classification_en_5.5.0_3.0_1726623752512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_bert_model_classification_en_5.5.0_3.0_1726623752512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_bert_model_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.2 MB|
+
+## References
+
+https://huggingface.co/KareenaBeniwal/Fine-tuned-bert-model-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuned_geeks_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuned_geeks_en.md
new file mode 100644
index 00000000000000..ab95d01bf82c48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuned_geeks_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_geeks BertForTokenClassification from sampurnr
+author: John Snow Labs
+name: finetuned_geeks
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_geeks` is a English model originally trained by sampurnr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_geeks_en_5.5.0_3.0_1726698934504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_geeks_en_5.5.0_3.0_1726698934504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_geeks|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/sampurnr/finetuned-geeks
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuned_sentiment_distilbert_base_uncased_model_3000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuned_sentiment_distilbert_base_uncased_model_3000_pipeline_en.md
new file mode 100644
index 00000000000000..9fde53c4d379d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuned_sentiment_distilbert_base_uncased_model_3000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_sentiment_distilbert_base_uncased_model_3000_pipeline pipeline DistilBertForSequenceClassification from iamsuman
+author: John Snow Labs
+name: finetuned_sentiment_distilbert_base_uncased_model_3000_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentiment_distilbert_base_uncased_model_3000_pipeline` is a English model originally trained by iamsuman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_distilbert_base_uncased_model_3000_pipeline_en_5.5.0_3.0_1726681832042.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_distilbert_base_uncased_model_3000_pipeline_en_5.5.0_3.0_1726681832042.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_sentiment_distilbert_base_uncased_model_3000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_sentiment_distilbert_base_uncased_model_3000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentiment_distilbert_base_uncased_model_3000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/iamsuman/finetuned-sentiment-distilbert-base-uncased-model-3000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetunedmodel_review_sentimentanalysis_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetunedmodel_review_sentimentanalysis_en.md
new file mode 100644
index 00000000000000..0ed36ddf463c3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetunedmodel_review_sentimentanalysis_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetunedmodel_review_sentimentanalysis DistilBertForSequenceClassification from hanyundudddd
+author: John Snow Labs
+name: finetunedmodel_review_sentimentanalysis
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetunedmodel_review_sentimentanalysis` is a English model originally trained by hanyundudddd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetunedmodel_review_sentimentanalysis_en_5.5.0_3.0_1726680233995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetunedmodel_review_sentimentanalysis_en_5.5.0_3.0_1726680233995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetunedmodel_review_sentimentanalysis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hanyundudddd/FinetunedModel_Review_SentimentAnalysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_a00954334_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_a00954334_pipeline_en.md
new file mode 100644
index 00000000000000..927ba847e71b67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_a00954334_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_a00954334_pipeline pipeline DistilBertForSequenceClassification from A00954334
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_a00954334_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_a00954334_pipeline` is a English model originally trained by A00954334.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_a00954334_pipeline_en_5.5.0_3.0_1726625933230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_a00954334_pipeline_en_5.5.0_3.0_1726625933230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_a00954334_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_a00954334_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_a00954334_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/A00954334/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_bberken_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_bberken_pipeline_en.md
new file mode 100644
index 00000000000000..e2445ab520b087
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_bberken_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_bberken_pipeline pipeline DistilBertForSequenceClassification from bberken
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_bberken_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_bberken_pipeline` is a English model originally trained by bberken.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bberken_pipeline_en_5.5.0_3.0_1726680622871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_bberken_pipeline_en_5.5.0_3.0_1726680622871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_bberken_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_bberken_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_bberken_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bberken/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_denniswangxy_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_denniswangxy_en.md
new file mode 100644
index 00000000000000..b0b9f01c67feed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_denniswangxy_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_denniswangxy DistilBertForSequenceClassification from denniswangxy
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_denniswangxy
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_denniswangxy` is a English model originally trained by denniswangxy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_denniswangxy_en_5.5.0_3.0_1726630874888.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_denniswangxy_en_5.5.0_3.0_1726630874888.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_denniswangxy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/denniswangxy/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_dn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_dn_pipeline_en.md
new file mode 100644
index 00000000000000..ffff759ec04f4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_dn_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_dn_pipeline pipeline DistilBertForSequenceClassification from jakeoko
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_dn_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_dn_pipeline` is a English model originally trained by jakeoko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dn_pipeline_en_5.5.0_3.0_1726681993796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dn_pipeline_en_5.5.0_3.0_1726681993796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_dn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_dn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_dn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jakeoko/finetuning-sentiment-model-3000-samples-DN
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_mo27harakani_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_mo27harakani_pipeline_en.md
new file mode 100644
index 00000000000000..dd6f4fd307d89f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_mo27harakani_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_mo27harakani_pipeline pipeline DistilBertForSequenceClassification from mo27harakani
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_mo27harakani_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mo27harakani_pipeline` is a English model originally trained by mo27harakani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mo27harakani_pipeline_en_5.5.0_3.0_1726677194488.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mo27harakani_pipeline_en_5.5.0_3.0_1726677194488.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_mo27harakani_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_mo27harakani_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_mo27harakani_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mo27harakani/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_pouriaaa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_pouriaaa_pipeline_en.md
new file mode 100644
index 00000000000000..558a176f9a7c65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_3000_samples_pouriaaa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_pouriaaa_pipeline pipeline DistilBertForSequenceClassification from pouriaaa
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_pouriaaa_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_pouriaaa_pipeline` is a English model originally trained by pouriaaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_pouriaaa_pipeline_en_5.5.0_3.0_1726669679155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_pouriaaa_pipeline_en_5.5.0_3.0_1726669679155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_pouriaaa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_pouriaaa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_pouriaaa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/pouriaaa/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_social_media_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_social_media_pipeline_en.md
new file mode 100644
index 00000000000000..5ededfa281ea69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_sentiment_model_social_media_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_social_media_pipeline pipeline DistilBertForSequenceClassification from MariaChzhen
+author: John Snow Labs
+name: finetuning_sentiment_model_social_media_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_social_media_pipeline` is a English model originally trained by MariaChzhen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_social_media_pipeline_en_5.5.0_3.0_1726625267541.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_social_media_pipeline_en_5.5.0_3.0_1726625267541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_social_media_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_social_media_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_social_media_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MariaChzhen/finetuning-sentiment-model-social-media
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-gal_ner_iwcg_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-gal_ner_iwcg_5_pipeline_en.md
new file mode 100644
index 00000000000000..069185d7fb3dfa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-gal_ner_iwcg_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gal_ner_iwcg_5_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: gal_ner_iwcg_5_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gal_ner_iwcg_5_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gal_ner_iwcg_5_pipeline_en_5.5.0_3.0_1726701834647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gal_ner_iwcg_5_pipeline_en_5.5.0_3.0_1726701834647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gal_ner_iwcg_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gal_ner_iwcg_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gal_ner_iwcg_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|426.5 MB|
+
+## References
+
+https://huggingface.co/homersimpson/gal-ner-iwcg-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-gal_sayula_popoluca_xlmr_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-gal_sayula_popoluca_xlmr_4_pipeline_en.md
new file mode 100644
index 00000000000000..e584259e4341df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-gal_sayula_popoluca_xlmr_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gal_sayula_popoluca_xlmr_4_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: gal_sayula_popoluca_xlmr_4_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gal_sayula_popoluca_xlmr_4_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gal_sayula_popoluca_xlmr_4_pipeline_en_5.5.0_3.0_1726657420482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gal_sayula_popoluca_xlmr_4_pipeline_en_5.5.0_3.0_1726657420482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gal_sayula_popoluca_xlmr_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gal_sayula_popoluca_xlmr_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gal_sayula_popoluca_xlmr_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|803.5 MB|
+
+## References
+
+https://huggingface.co/homersimpson/gal-pos-xlmr-4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-gena_lm_bert_base_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_en.md b/docs/_posts/ahmedlone127/2024-09-18-gena_lm_bert_base_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_en.md
new file mode 100644
index 00000000000000..86d87abb5e91f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-gena_lm_bert_base_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English gena_lm_bert_base_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac BertForSequenceClassification from tanoManzo
+author: John Snow Labs
+name: gena_lm_bert_base_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gena_lm_bert_base_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac` is a English model originally trained by tanoManzo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gena_lm_bert_base_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_en_5.5.0_3.0_1726647910989.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gena_lm_bert_base_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_en_5.5.0_3.0_1726647910989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gena_lm_bert_base_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.0 MB|
+
+## References
+
+https://huggingface.co/tanoManzo/gena-lm-bert-base-t2t_ft_Hepg2_1kbpHG19_DHSs_H3K27AC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-hate_hate_balance_random3_seed0_roberta_large_en.md b/docs/_posts/ahmedlone127/2024-09-18-hate_hate_balance_random3_seed0_roberta_large_en.md
new file mode 100644
index 00000000000000..6e601a2f11460d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-hate_hate_balance_random3_seed0_roberta_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_balance_random3_seed0_roberta_large RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_random3_seed0_roberta_large
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_random3_seed0_roberta_large` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random3_seed0_roberta_large_en_5.5.0_3.0_1726649992939.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random3_seed0_roberta_large_en_5.5.0_3.0_1726649992939.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_random3_seed0_roberta_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_random3_seed0-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-hate_hate_random0_seed2_twitter_roberta_base_2019_90m_en.md b/docs/_posts/ahmedlone127/2024-09-18-hate_hate_random0_seed2_twitter_roberta_base_2019_90m_en.md
new file mode 100644
index 00000000000000..415e2ada9f3ac3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-hate_hate_random0_seed2_twitter_roberta_base_2019_90m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_random0_seed2_twitter_roberta_base_2019_90m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random0_seed2_twitter_roberta_base_2019_90m
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random0_seed2_twitter_roberta_base_2019_90m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random0_seed2_twitter_roberta_base_2019_90m_en_5.5.0_3.0_1726641406546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random0_seed2_twitter_roberta_base_2019_90m_en_5.5.0_3.0_1726641406546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random0_seed2_twitter_roberta_base_2019_90m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random0_seed2-twitter-roberta-base-2019-90m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-helper2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-helper2_pipeline_en.md
new file mode 100644
index 00000000000000..c9c3cee5693e06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-helper2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English helper2_pipeline pipeline RoBertaForSequenceClassification from raima2001
+author: John Snow Labs
+name: helper2_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`helper2_pipeline` is a English model originally trained by raima2001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helper2_pipeline_en_5.5.0_3.0_1726650130445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helper2_pipeline_en_5.5.0_3.0_1726650130445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("helper2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("helper2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helper2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|85.0 MB|
+
+## References
+
+https://huggingface.co/raima2001/helper2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-hf_repo_miteshkotak7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-hf_repo_miteshkotak7_pipeline_en.md
new file mode 100644
index 00000000000000..5d2f97a7c2fac6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-hf_repo_miteshkotak7_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hf_repo_miteshkotak7_pipeline pipeline DistilBertForSequenceClassification from miteshkotak7
+author: John Snow Labs
+name: hf_repo_miteshkotak7_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hf_repo_miteshkotak7_pipeline` is a English model originally trained by miteshkotak7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hf_repo_miteshkotak7_pipeline_en_5.5.0_3.0_1726681698338.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hf_repo_miteshkotak7_pipeline_en_5.5.0_3.0_1726681698338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hf_repo_miteshkotak7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hf_repo_miteshkotak7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hf_repo_miteshkotak7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/miteshkotak7/hf-repo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-horai_medium_17k_roberta_large_30_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-horai_medium_17k_roberta_large_30_pipeline_en.md
new file mode 100644
index 00000000000000..81018edf54c2e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-horai_medium_17k_roberta_large_30_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English horai_medium_17k_roberta_large_30_pipeline pipeline RoBertaForSequenceClassification from stealthwriter
+author: John Snow Labs
+name: horai_medium_17k_roberta_large_30_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`horai_medium_17k_roberta_large_30_pipeline` is a English model originally trained by stealthwriter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/horai_medium_17k_roberta_large_30_pipeline_en_5.5.0_3.0_1726650578959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/horai_medium_17k_roberta_large_30_pipeline_en_5.5.0_3.0_1726650578959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("horai_medium_17k_roberta_large_30_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("horai_medium_17k_roberta_large_30_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|horai_medium_17k_roberta_large_30_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/stealthwriter/HorAI-medium-17k-roberta-large-30
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-ielts_grading_regression_en.md b/docs/_posts/ahmedlone127/2024-09-18-ielts_grading_regression_en.md
new file mode 100644
index 00000000000000..e7c1faba6a7a33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-ielts_grading_regression_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ielts_grading_regression RoBertaForSequenceClassification from sebasgaviria79
+author: John Snow Labs
+name: ielts_grading_regression
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ielts_grading_regression` is a English model originally trained by sebasgaviria79.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ielts_grading_regression_en_5.5.0_3.0_1726621601328.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ielts_grading_regression_en_5.5.0_3.0_1726621601328.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ielts_grading_regression|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/sebasgaviria79/ielts-grading-regression
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-imdb_0_en.md b/docs/_posts/ahmedlone127/2024-09-18-imdb_0_en.md
new file mode 100644
index 00000000000000..be288a2fbc8fa1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-imdb_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English imdb_0 DistilBertForSequenceClassification from draghicivlad
+author: John Snow Labs
+name: imdb_0
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_0` is a English model originally trained by draghicivlad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_0_en_5.5.0_3.0_1726676855719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_0_en_5.5.0_3.0_1726676855719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/draghicivlad/imdb_0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-imdb_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-imdb_0_pipeline_en.md
new file mode 100644
index 00000000000000..5e570074cc6685
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-imdb_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English imdb_0_pipeline pipeline DistilBertForSequenceClassification from draghicivlad
+author: John Snow Labs
+name: imdb_0_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_0_pipeline` is a English model originally trained by draghicivlad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_0_pipeline_en_5.5.0_3.0_1726676868190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_0_pipeline_en_5.5.0_3.0_1726676868190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imdb_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imdb_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/draghicivlad/imdb_0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-imdb_4_en.md b/docs/_posts/ahmedlone127/2024-09-18-imdb_4_en.md
new file mode 100644
index 00000000000000..b43050a02261af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-imdb_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English imdb_4 DistilBertForSequenceClassification from draghicivlad
+author: John Snow Labs
+name: imdb_4
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_4` is a English model originally trained by draghicivlad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_4_en_5.5.0_3.0_1726677519729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_4_en_5.5.0_3.0_1726677519729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/draghicivlad/imdb_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-intel_huggingface_workshop_bot_en.md b/docs/_posts/ahmedlone127/2024-09-18-intel_huggingface_workshop_bot_en.md
new file mode 100644
index 00000000000000..f690da5a74833c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-intel_huggingface_workshop_bot_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English intel_huggingface_workshop_bot DistilBertForSequenceClassification from arjunraghunandanan
+author: John Snow Labs
+name: intel_huggingface_workshop_bot
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intel_huggingface_workshop_bot` is a English model originally trained by arjunraghunandanan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intel_huggingface_workshop_bot_en_5.5.0_3.0_1726694984231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intel_huggingface_workshop_bot_en_5.5.0_3.0_1726694984231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intel_huggingface_workshop_bot|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/arjunraghunandanan/intel-huggingface-workshop-bot
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-interlingua_detection_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-18-interlingua_detection_roberta_base_en.md
new file mode 100644
index 00000000000000..0b6004a774b832
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-interlingua_detection_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English interlingua_detection_roberta_base RoBertaForSequenceClassification from arincon
+author: John Snow Labs
+name: interlingua_detection_roberta_base
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`interlingua_detection_roberta_base` is a English model originally trained by arincon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/interlingua_detection_roberta_base_en_5.5.0_3.0_1726666236549.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/interlingua_detection_roberta_base_en_5.5.0_3.0_1726666236549.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|interlingua_detection_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|460.4 MB|
+
+## References
+
+https://huggingface.co/arincon/ia-detection-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-interlingua_detection_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-interlingua_detection_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..a653bf9e8d87e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-interlingua_detection_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English interlingua_detection_roberta_base_pipeline pipeline RoBertaForSequenceClassification from arincon
+author: John Snow Labs
+name: interlingua_detection_roberta_base_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`interlingua_detection_roberta_base_pipeline` is a English model originally trained by arincon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/interlingua_detection_roberta_base_pipeline_en_5.5.0_3.0_1726666259471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/interlingua_detection_roberta_base_pipeline_en_5.5.0_3.0_1726666259471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("interlingua_detection_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("interlingua_detection_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|interlingua_detection_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|460.4 MB|
+
+## References
+
+https://huggingface.co/arincon/ia-detection-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-it2_robertuito_l_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-it2_robertuito_l_pipeline_en.md
new file mode 100644
index 00000000000000..26573350d85362
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-it2_robertuito_l_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English it2_robertuito_l_pipeline pipeline RoBertaForSequenceClassification from PEzquerra
+author: John Snow Labs
+name: it2_robertuito_l_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`it2_robertuito_l_pipeline` is a English model originally trained by PEzquerra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/it2_robertuito_l_pipeline_en_5.5.0_3.0_1726650416339.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/it2_robertuito_l_pipeline_en_5.5.0_3.0_1726650416339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("it2_robertuito_l_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("it2_robertuito_l_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|it2_robertuito_l_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/PEzquerra/it2_robertuito_L
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-lao_roberta_base_pipeline_lo.md b/docs/_posts/ahmedlone127/2024-09-18-lao_roberta_base_pipeline_lo.md
new file mode 100644
index 00000000000000..64181b2ff8e052
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-lao_roberta_base_pipeline_lo.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Lao lao_roberta_base_pipeline pipeline RoBertaEmbeddings from w11wo
+author: John Snow Labs
+name: lao_roberta_base_pipeline
+date: 2024-09-18
+tags: [lo, open_source, pipeline, onnx]
+task: Embeddings
+language: lo
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lao_roberta_base_pipeline` is a Lao model originally trained by w11wo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lao_roberta_base_pipeline_lo_5.5.0_3.0_1726651570200.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lao_roberta_base_pipeline_lo_5.5.0_3.0_1726651570200.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lao_roberta_base_pipeline", lang = "lo")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lao_roberta_base_pipeline", lang = "lo")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lao_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|lo|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/w11wo/lao-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-left_assamese_train_context_roberta_large_20e_en.md b/docs/_posts/ahmedlone127/2024-09-18-left_assamese_train_context_roberta_large_20e_en.md
new file mode 100644
index 00000000000000..1903e0dc6e7447
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-left_assamese_train_context_roberta_large_20e_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English left_assamese_train_context_roberta_large_20e RoBertaForSequenceClassification from kghanlon
+author: John Snow Labs
+name: left_assamese_train_context_roberta_large_20e
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`left_assamese_train_context_roberta_large_20e` is a English model originally trained by kghanlon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/left_assamese_train_context_roberta_large_20e_en_5.5.0_3.0_1726650681553.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/left_assamese_train_context_roberta_large_20e_en_5.5.0_3.0_1726650681553.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|left_assamese_train_context_roberta_large_20e|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/kghanlon/left_as_train_context_roberta-large_20e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-legal_undedup_base_v1_5__checkpoint_last_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-legal_undedup_base_v1_5__checkpoint_last_pipeline_en.md
new file mode 100644
index 00000000000000..9e7650e81311b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-legal_undedup_base_v1_5__checkpoint_last_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English legal_undedup_base_v1_5__checkpoint_last_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: legal_undedup_base_v1_5__checkpoint_last_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_undedup_base_v1_5__checkpoint_last_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_undedup_base_v1_5__checkpoint_last_pipeline_en_5.5.0_3.0_1726618178121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_undedup_base_v1_5__checkpoint_last_pipeline_en_5.5.0_3.0_1726618178121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("legal_undedup_base_v1_5__checkpoint_last_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("legal_undedup_base_v1_5__checkpoint_last_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_undedup_base_v1_5__checkpoint_last_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|296.3 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/legal_undedup_base_v1_5__checkpoint_last
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-llama_model_overfitted_reg_gpt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-llama_model_overfitted_reg_gpt_pipeline_en.md
new file mode 100644
index 00000000000000..367e32f8364db1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-llama_model_overfitted_reg_gpt_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English llama_model_overfitted_reg_gpt_pipeline pipeline MPNetEmbeddings from soksay
+author: John Snow Labs
+name: llama_model_overfitted_reg_gpt_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`llama_model_overfitted_reg_gpt_pipeline` is a English model originally trained by soksay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/llama_model_overfitted_reg_gpt_pipeline_en_5.5.0_3.0_1726675059230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/llama_model_overfitted_reg_gpt_pipeline_en_5.5.0_3.0_1726675059230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("llama_model_overfitted_reg_gpt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("llama_model_overfitted_reg_gpt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|llama_model_overfitted_reg_gpt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/soksay/llama_model_overfitted_REG_GPT
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-mach_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-mach_3_pipeline_en.md
new file mode 100644
index 00000000000000..3c4ccb2bc63941
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-mach_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mach_3_pipeline pipeline RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: mach_3_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mach_3_pipeline` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mach_3_pipeline_en_5.5.0_3.0_1726621995994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mach_3_pipeline_en_5.5.0_3.0_1726621995994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mach_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mach_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mach_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/BaronSch/Mach_3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-moviegenreprediction_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-moviegenreprediction_pipeline_en.md
new file mode 100644
index 00000000000000..30a895e86a4f99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-moviegenreprediction_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English moviegenreprediction_pipeline pipeline DistilBertForSequenceClassification from shaggysus
+author: John Snow Labs
+name: moviegenreprediction_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`moviegenreprediction_pipeline` is a English model originally trained by shaggysus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/moviegenreprediction_pipeline_en_5.5.0_3.0_1726625740388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/moviegenreprediction_pipeline_en_5.5.0_3.0_1726625740388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("moviegenreprediction_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("moviegenreprediction_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|moviegenreprediction_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/shaggysus/MovieGenrePrediction
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-movies_notice_en.md b/docs/_posts/ahmedlone127/2024-09-18-movies_notice_en.md
new file mode 100644
index 00000000000000..1dca8b1b93ac75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-movies_notice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English movies_notice DistilBertForSequenceClassification from hermione03
+author: John Snow Labs
+name: movies_notice
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movies_notice` is a English model originally trained by hermione03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movies_notice_en_5.5.0_3.0_1726695668314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movies_notice_en_5.5.0_3.0_1726695668314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multilingual_e5_base_censor_v0_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|802.4 MB|
+
+## References
+
+https://huggingface.co/Data-Lab/multilingual-e5-base_censor_v0.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-nerd_nerd_random3_seed2_twitter_roberta_base_2021_124m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-nerd_nerd_random3_seed2_twitter_roberta_base_2021_124m_pipeline_en.md
new file mode 100644
index 00000000000000..a07c5a99ca8507
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-nerd_nerd_random3_seed2_twitter_roberta_base_2021_124m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nerd_nerd_random3_seed2_twitter_roberta_base_2021_124m_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random3_seed2_twitter_roberta_base_2021_124m_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random3_seed2_twitter_roberta_base_2021_124m_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random3_seed2_twitter_roberta_base_2021_124m_pipeline_en_5.5.0_3.0_1726641806221.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random3_seed2_twitter_roberta_base_2021_124m_pipeline_en_5.5.0_3.0_1726641806221.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nerd_nerd_random3_seed2_twitter_roberta_base_2021_124m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nerd_nerd_random3_seed2_twitter_roberta_base_2021_124m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random3_seed2_twitter_roberta_base_2021_124m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random3_seed2-twitter-roberta-base-2021-124m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-noise_memo_bert_3_01_en.md b/docs/_posts/ahmedlone127/2024-09-18-noise_memo_bert_3_01_en.md
new file mode 100644
index 00000000000000..0ff1671f70325d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-noise_memo_bert_3_01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English noise_memo_bert_3_01 XlmRoBertaForSequenceClassification from yemen2016
+author: John Snow Labs
+name: noise_memo_bert_3_01
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`noise_memo_bert_3_01` is a English model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/noise_memo_bert_3_01_en_5.5.0_3.0_1726660110833.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/noise_memo_bert_3_01_en_5.5.0_3.0_1726660110833.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|noise_memo_bert_3_01|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.6 MB|
+
+## References
+
+https://huggingface.co/yemen2016/Noise_MeMo_BERT-3_01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-opticalbert_qa_squadv1_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-opticalbert_qa_squadv1_cased_pipeline_en.md
new file mode 100644
index 00000000000000..c183f891d35b5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-opticalbert_qa_squadv1_cased_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English opticalbert_qa_squadv1_cased_pipeline pipeline BertForQuestionAnswering from opticalmaterials
+author: John Snow Labs
+name: opticalbert_qa_squadv1_cased_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opticalbert_qa_squadv1_cased_pipeline` is a English model originally trained by opticalmaterials.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opticalbert_qa_squadv1_cased_pipeline_en_5.5.0_3.0_1726659166285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opticalbert_qa_squadv1_cased_pipeline_en_5.5.0_3.0_1726659166285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opticalbert_qa_squadv1_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opticalbert_qa_squadv1_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opticalbert_qa_squadv1_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.5 MB|
+
+## References
+
+https://huggingface.co/opticalmaterials/opticalbert_qa_squadv1_cased
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-org_bot_classifier_dstilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-org_bot_classifier_dstilbert_pipeline_en.md
new file mode 100644
index 00000000000000..5e05a3a8cf5664
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-org_bot_classifier_dstilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English org_bot_classifier_dstilbert_pipeline pipeline DistilBertForSequenceClassification from Jjzzzz
+author: John Snow Labs
+name: org_bot_classifier_dstilbert_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`org_bot_classifier_dstilbert_pipeline` is a English model originally trained by Jjzzzz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/org_bot_classifier_dstilbert_pipeline_en_5.5.0_3.0_1726625560234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/org_bot_classifier_dstilbert_pipeline_en_5.5.0_3.0_1726625560234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("org_bot_classifier_dstilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("org_bot_classifier_dstilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|org_bot_classifier_dstilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Jjzzzz/org_bot_classifier_dstilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-pharma_classification_v2_en.md b/docs/_posts/ahmedlone127/2024-09-18-pharma_classification_v2_en.md
new file mode 100644
index 00000000000000..f1dc0d6f1142b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-pharma_classification_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English pharma_classification_v2 DistilBertForSequenceClassification from NikhilBITS
+author: John Snow Labs
+name: pharma_classification_v2
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pharma_classification_v2` is a English model originally trained by NikhilBITS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pharma_classification_v2_en_5.5.0_3.0_1726680619577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pharma_classification_v2_en_5.5.0_3.0_1726680619577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pharma_classification_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/NikhilBITS/pharma_classification_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-polibert_malaysia_ver4_en.md b/docs/_posts/ahmedlone127/2024-09-18-polibert_malaysia_ver4_en.md
new file mode 100644
index 00000000000000..11fffd3b3118cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-polibert_malaysia_ver4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English polibert_malaysia_ver4 BertForSequenceClassification from YagiASAFAS
+author: John Snow Labs
+name: polibert_malaysia_ver4
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`polibert_malaysia_ver4` is a English model originally trained by YagiASAFAS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/polibert_malaysia_ver4_en_5.5.0_3.0_1726623785605.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/polibert_malaysia_ver4_en_5.5.0_3.0_1726623785605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|polibert_malaysia_ver4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/YagiASAFAS/polibert-malaysia-ver4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-polibert_malaysia_ver4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-polibert_malaysia_ver4_pipeline_en.md
new file mode 100644
index 00000000000000..3955da836de14c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-polibert_malaysia_ver4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English polibert_malaysia_ver4_pipeline pipeline BertForSequenceClassification from YagiASAFAS
+author: John Snow Labs
+name: polibert_malaysia_ver4_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`polibert_malaysia_ver4_pipeline` is a English model originally trained by YagiASAFAS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/polibert_malaysia_ver4_pipeline_en_5.5.0_3.0_1726623805293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/polibert_malaysia_ver4_pipeline_en_5.5.0_3.0_1726623805293.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("polibert_malaysia_ver4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("polibert_malaysia_ver4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|polibert_malaysia_ver4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/YagiASAFAS/polibert-malaysia-ver4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-qa_model_rachelle_en.md b/docs/_posts/ahmedlone127/2024-09-18-qa_model_rachelle_en.md
new file mode 100644
index 00000000000000..f28464177aab66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-qa_model_rachelle_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English qa_model_rachelle DistilBertForQuestionAnswering from RachelLe
+author: John Snow Labs
+name: qa_model_rachelle
+date: 2024-09-18
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_model_rachelle` is a English model originally trained by RachelLe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_model_rachelle_en_5.5.0_3.0_1726640810642.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_model_rachelle_en_5.5.0_3.0_1726640810642.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_model_rachelle|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/RachelLe/qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-reberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-reberta_pipeline_en.md
new file mode 100644
index 00000000000000..771f1a99b7ae3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-reberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English reberta_pipeline pipeline XlmRoBertaForSequenceClassification from achDev
+author: John Snow Labs
+name: reberta_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`reberta_pipeline` is a English model originally trained by achDev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/reberta_pipeline_en_5.5.0_3.0_1726697963422.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/reberta_pipeline_en_5.5.0_3.0_1726697963422.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("reberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("reberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|reberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|814.3 MB|
+
+## References
+
+https://huggingface.co/achDev/reberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-request_type_classifier_roberta_26_08_2024_en.md b/docs/_posts/ahmedlone127/2024-09-18-request_type_classifier_roberta_26_08_2024_en.md
new file mode 100644
index 00000000000000..af2d2dc4602d8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-request_type_classifier_roberta_26_08_2024_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English request_type_classifier_roberta_26_08_2024 RoBertaForSequenceClassification from venkynavs
+author: John Snow Labs
+name: request_type_classifier_roberta_26_08_2024
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`request_type_classifier_roberta_26_08_2024` is a English model originally trained by venkynavs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/request_type_classifier_roberta_26_08_2024_en_5.5.0_3.0_1726621641063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/request_type_classifier_roberta_26_08_2024_en_5.5.0_3.0_1726621641063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|request_type_classifier_roberta_26_08_2024|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/venkynavs/Request_Type_Classifier_RoBERTa_26_08_2024
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-results_neihc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-results_neihc_pipeline_en.md
new file mode 100644
index 00000000000000..ef5f8e68b4d982
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-results_neihc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English results_neihc_pipeline pipeline DistilBertForTokenClassification from neihc
+author: John Snow Labs
+name: results_neihc_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_neihc_pipeline` is a English model originally trained by neihc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_neihc_pipeline_en_5.5.0_3.0_1726645054524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_neihc_pipeline_en_5.5.0_3.0_1726645054524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("results_neihc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("results_neihc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_neihc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/neihc/results
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-review_classification_frithureiks_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-review_classification_frithureiks_pipeline_en.md
new file mode 100644
index 00000000000000..e43518c48d9fca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-review_classification_frithureiks_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English review_classification_frithureiks_pipeline pipeline DistilBertForSequenceClassification from frithureiks
+author: John Snow Labs
+name: review_classification_frithureiks_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`review_classification_frithureiks_pipeline` is a English model originally trained by frithureiks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/review_classification_frithureiks_pipeline_en_5.5.0_3.0_1726630710484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/review_classification_frithureiks_pipeline_en_5.5.0_3.0_1726630710484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("review_classification_frithureiks_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("review_classification_frithureiks_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|review_classification_frithureiks_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/frithureiks/review_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-review_classification_josephjose025_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-review_classification_josephjose025_pipeline_en.md
new file mode 100644
index 00000000000000..c9c9a5968831eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-review_classification_josephjose025_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English review_classification_josephjose025_pipeline pipeline DistilBertForSequenceClassification from josephjose025
+author: John Snow Labs
+name: review_classification_josephjose025_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`review_classification_josephjose025_pipeline` is a English model originally trained by josephjose025.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/review_classification_josephjose025_pipeline_en_5.5.0_3.0_1726669414949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/review_classification_josephjose025_pipeline_en_5.5.0_3.0_1726669414949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("review_classification_josephjose025_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("review_classification_josephjose025_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|review_classification_josephjose025_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/josephjose025/review_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_base_bne_finetuned_amazon_practica_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_bne_finetuned_amazon_practica_pipeline_en.md
new file mode 100644
index 00000000000000..1f240c04e62318
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_bne_finetuned_amazon_practica_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_practica_pipeline pipeline RoBertaForSequenceClassification from Jhandry
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_practica_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_practica_pipeline` is a English model originally trained by Jhandry.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_practica_pipeline_en_5.5.0_3.0_1726642398775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_practica_pipeline_en_5.5.0_3.0_1726642398775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_bne_finetuned_amazon_practica_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_bne_finetuned_amazon_practica_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_practica_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|446.8 MB|
+
+## References
+
+https://huggingface.co/Jhandry/roberta-base-bne-finetuned-amazon_practica
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_base_bne_finetuned_amazon_reviews_spanish_03_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_bne_finetuned_amazon_reviews_spanish_03_en.md
new file mode 100644
index 00000000000000..fcd557a2f33efa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_bne_finetuned_amazon_reviews_spanish_03_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_spanish_03 RoBertaForSequenceClassification from DevCar
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_spanish_03
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_spanish_03` is a English model originally trained by DevCar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_spanish_03_en_5.5.0_3.0_1726628472902.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_spanish_03_en_5.5.0_3.0_1726628472902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_spanish_03|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|442.7 MB|
+
+## References
+
+https://huggingface.co/DevCar/roberta-base-bne-finetuned-amazon_reviews_es_03
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_base_bne_finetuned_nepal_bhasa_oriya_used_title_gonchisi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_bne_finetuned_nepal_bhasa_oriya_used_title_gonchisi_pipeline_en.md
new file mode 100644
index 00000000000000..95e00c93e2a5fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_bne_finetuned_nepal_bhasa_oriya_used_title_gonchisi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_nepal_bhasa_oriya_used_title_gonchisi_pipeline pipeline RoBertaForSequenceClassification from gonchisi
+author: John Snow Labs
+name: roberta_base_bne_finetuned_nepal_bhasa_oriya_used_title_gonchisi_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_nepal_bhasa_oriya_used_title_gonchisi_pipeline` is a English model originally trained by gonchisi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_nepal_bhasa_oriya_used_title_gonchisi_pipeline_en_5.5.0_3.0_1726627500997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_nepal_bhasa_oriya_used_title_gonchisi_pipeline_en_5.5.0_3.0_1726627500997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_bne_finetuned_nepal_bhasa_oriya_used_title_gonchisi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_bne_finetuned_nepal_bhasa_oriya_used_title_gonchisi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_nepal_bhasa_oriya_used_title_gonchisi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|439.4 MB|
+
+## References
+
+https://huggingface.co/gonchisi/roberta-base-bne-finetuned-new_or_used_title
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_base_classification_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_classification_en.md
new file mode 100644
index 00000000000000..28716d9ae165f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_base_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_classification RoBertaForSequenceClassification from Ahmed235
+author: John Snow Labs
+name: roberta_base_classification
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_classification` is a English model originally trained by Ahmed235.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_classification_en_5.5.0_3.0_1726689775998.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_classification_en_5.5.0_3.0_1726689775998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_frozen_generics_mlm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|298.2 MB|
+
+## References
+
+https://huggingface.co/sello-ralethe/roberta-base-frozen-generics-mlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_baseline_finetuned_atis_3pct_v0_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_baseline_finetuned_atis_3pct_v0_en.md
new file mode 100644
index 00000000000000..4a2c0b3de8a812
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_baseline_finetuned_atis_3pct_v0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_baseline_finetuned_atis_3pct_v0 RoBertaForSequenceClassification from benayas
+author: John Snow Labs
+name: roberta_baseline_finetuned_atis_3pct_v0
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_baseline_finetuned_atis_3pct_v0` is a English model originally trained by benayas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_baseline_finetuned_atis_3pct_v0_en_5.5.0_3.0_1726641701471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_baseline_finetuned_atis_3pct_v0_en_5.5.0_3.0_1726641701471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_baseline_finetuned_atis_3pct_v0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|417.1 MB|
+
+## References
+
+https://huggingface.co/benayas/roberta-baseline-finetuned-atis_3pct_v0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_dnd_intents_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_dnd_intents_en.md
new file mode 100644
index 00000000000000..ef0316f989d369
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_dnd_intents_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_dnd_intents RoBertaForSequenceClassification from neurae
+author: John Snow Labs
+name: roberta_dnd_intents
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_dnd_intents` is a English model originally trained by neurae.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_dnd_intents_en_5.5.0_3.0_1726641406128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_dnd_intents_en_5.5.0_3.0_1726641406128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_dnd_intents|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/neurae/roberta-dnd-intents
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_finetuned_intention_prediction_spanish_jsevisal_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_finetuned_intention_prediction_spanish_jsevisal_pipeline_en.md
new file mode 100644
index 00000000000000..863f27058f8411
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_finetuned_intention_prediction_spanish_jsevisal_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_finetuned_intention_prediction_spanish_jsevisal_pipeline pipeline RoBertaForTokenClassification from Jsevisal
+author: John Snow Labs
+name: roberta_finetuned_intention_prediction_spanish_jsevisal_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_intention_prediction_spanish_jsevisal_pipeline` is a English model originally trained by Jsevisal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_intention_prediction_spanish_jsevisal_pipeline_en_5.5.0_3.0_1726652994586.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_intention_prediction_spanish_jsevisal_pipeline_en_5.5.0_3.0_1726652994586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_intention_prediction_spanish_jsevisal_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_intention_prediction_spanish_jsevisal_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_intention_prediction_spanish_jsevisal_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|471.1 MB|
+
+## References
+
+https://huggingface.co/Jsevisal/roberta-finetuned-intention-prediction-es
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_finetuned_sensitive_keywords_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_finetuned_sensitive_keywords_pipeline_en.md
new file mode 100644
index 00000000000000..65e0f0d2cf39db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_finetuned_sensitive_keywords_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_sensitive_keywords_pipeline pipeline RoBertaForQuestionAnswering from Mourya
+author: John Snow Labs
+name: roberta_finetuned_sensitive_keywords_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_sensitive_keywords_pipeline` is a English model originally trained by Mourya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_sensitive_keywords_pipeline_en_5.5.0_3.0_1726619717087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_sensitive_keywords_pipeline_en_5.5.0_3.0_1726619717087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_sensitive_keywords_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_sensitive_keywords_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_sensitive_keywords_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/Mourya/roberta-finetuned-sensitive-keywords
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_large_finetuned_m_avoid_harm_seler_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_large_finetuned_m_avoid_harm_seler_en.md
new file mode 100644
index 00000000000000..10dabb999751ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_large_finetuned_m_avoid_harm_seler_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_finetuned_m_avoid_harm_seler RoBertaForSequenceClassification from Gregorig
+author: John Snow Labs
+name: roberta_large_finetuned_m_avoid_harm_seler
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_m_avoid_harm_seler` is a English model originally trained by Gregorig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_m_avoid_harm_seler_en_5.5.0_3.0_1726666085739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_m_avoid_harm_seler_en_5.5.0_3.0_1726666085739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_m_avoid_harm_seler|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Gregorig/roberta-large-finetuned-m_avoid_harm_seler
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_large_finetuned_t_overall_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_large_finetuned_t_overall_pipeline_en.md
new file mode 100644
index 00000000000000..749bc925b0c9c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_large_finetuned_t_overall_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_finetuned_t_overall_pipeline pipeline RoBertaForSequenceClassification from Gregorig
+author: John Snow Labs
+name: roberta_large_finetuned_t_overall_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_t_overall_pipeline` is a English model originally trained by Gregorig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_t_overall_pipeline_en_5.5.0_3.0_1726627778877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_t_overall_pipeline_en_5.5.0_3.0_1726627778877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_finetuned_t_overall_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_finetuned_t_overall_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_t_overall_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Gregorig/roberta-large-finetuned-t_overall
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_large_hoax_classifier_defs_1h10r_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_large_hoax_classifier_defs_1h10r_en.md
new file mode 100644
index 00000000000000..9e0d4e0796c104
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_large_hoax_classifier_defs_1h10r_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_hoax_classifier_defs_1h10r RoBertaForSequenceClassification from research-dump
+author: John Snow Labs
+name: roberta_large_hoax_classifier_defs_1h10r
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_hoax_classifier_defs_1h10r` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_hoax_classifier_defs_1h10r_en_5.5.0_3.0_1726666656144.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_hoax_classifier_defs_1h10r_en_5.5.0_3.0_1726666656144.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_hoax_classifier_defs_1h10r|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/research-dump/roberta-large_hoax_classifier_defs_1h10r
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_large_temp_classifier_bootstrapped_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_large_temp_classifier_bootstrapped_pipeline_en.md
new file mode 100644
index 00000000000000..4679b479798e02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_large_temp_classifier_bootstrapped_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_temp_classifier_bootstrapped_pipeline pipeline RoBertaForSequenceClassification from research-dump
+author: John Snow Labs
+name: roberta_large_temp_classifier_bootstrapped_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_temp_classifier_bootstrapped_pipeline` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_temp_classifier_bootstrapped_pipeline_en_5.5.0_3.0_1726649553694.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_temp_classifier_bootstrapped_pipeline_en_5.5.0_3.0_1726649553694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_temp_classifier_bootstrapped_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_temp_classifier_bootstrapped_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_temp_classifier_bootstrapped_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/research-dump/roberta_large_temp_classifier_bootstrapped
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_largeweighted_hoax_classifier_definition_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_largeweighted_hoax_classifier_definition_en.md
new file mode 100644
index 00000000000000..65d16940980c5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_largeweighted_hoax_classifier_definition_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_largeweighted_hoax_classifier_definition RoBertaForSequenceClassification from research-dump
+author: John Snow Labs
+name: roberta_largeweighted_hoax_classifier_definition
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_largeweighted_hoax_classifier_definition` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_largeweighted_hoax_classifier_definition_en_5.5.0_3.0_1726628721218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_largeweighted_hoax_classifier_definition_en_5.5.0_3.0_1726628721218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_largeweighted_hoax_classifier_definition|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/research-dump/roberta-largeweighted_hoax_classifier_definition
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_movie_review_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_movie_review_pipeline_en.md
new file mode 100644
index 00000000000000..47841c7e64230b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_movie_review_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_movie_review_pipeline pipeline RoBertaForSequenceClassification from imalexianne
+author: John Snow Labs
+name: roberta_movie_review_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_movie_review_pipeline` is a English model originally trained by imalexianne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_movie_review_pipeline_en_5.5.0_3.0_1726621843881.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_movie_review_pipeline_en_5.5.0_3.0_1726621843881.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_movie_review_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_movie_review_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_movie_review_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|454.3 MB|
+
+## References
+
+https://huggingface.co/imalexianne/Roberta-Movie_Review
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_mrqa_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_mrqa_v2_pipeline_en.md
new file mode 100644
index 00000000000000..306927f8171990
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_mrqa_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_mrqa_v2_pipeline pipeline RoBertaForQuestionAnswering from enriquesaou
+author: John Snow Labs
+name: roberta_mrqa_v2_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_mrqa_v2_pipeline` is a English model originally trained by enriquesaou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_mrqa_v2_pipeline_en_5.5.0_3.0_1726619705657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_mrqa_v2_pipeline_en_5.5.0_3.0_1726619705657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_mrqa_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_mrqa_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_mrqa_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.2 MB|
+
+## References
+
+https://huggingface.co/enriquesaou/roberta_mrqa_v2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_nli_group71_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_nli_group71_en.md
new file mode 100644
index 00000000000000..4ff3ed7656fc2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_nli_group71_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_nli_group71 RoBertaForSequenceClassification from awashh
+author: John Snow Labs
+name: roberta_nli_group71
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_nli_group71` is a English model originally trained by awashh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_nli_group71_en_5.5.0_3.0_1726650265104.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_nli_group71_en_5.5.0_3.0_1726650265104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_nli_group71|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|456.1 MB|
+
+## References
+
+https://huggingface.co/awashh/RoBERTa-NLI-Group71
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_poetry_life_crpo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_poetry_life_crpo_pipeline_en.md
new file mode 100644
index 00000000000000..6c0d64221af965
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_poetry_life_crpo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_poetry_life_crpo_pipeline pipeline RoBertaEmbeddings from andreipb
+author: John Snow Labs
+name: roberta_poetry_life_crpo_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_poetry_life_crpo_pipeline` is a English model originally trained by andreipb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_poetry_life_crpo_pipeline_en_5.5.0_3.0_1726652096644.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_poetry_life_crpo_pipeline_en_5.5.0_3.0_1726652096644.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_poetry_life_crpo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_poetry_life_crpo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_poetry_life_crpo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/andreipb/roberta-poetry-life-crpo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_poetry_love_crpo_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_poetry_love_crpo_en.md
new file mode 100644
index 00000000000000..d3863b40080017
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_poetry_love_crpo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_poetry_love_crpo RoBertaEmbeddings from andreipb
+author: John Snow Labs
+name: roberta_poetry_love_crpo
+date: 2024-09-18
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_poetry_love_crpo` is a English model originally trained by andreipb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_poetry_love_crpo_en_5.5.0_3.0_1726677972899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_poetry_love_crpo_en_5.5.0_3.0_1726677972899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_poetry_love_crpo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/andreipb/roberta-poetry-love-crpo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_span_detection_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_span_detection_en.md
new file mode 100644
index 00000000000000..01e9631bab526e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_span_detection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_span_detection RoBertaForTokenClassification from AntoineBlanot
+author: John Snow Labs
+name: roberta_span_detection
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_span_detection` is a English model originally trained by AntoineBlanot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_span_detection_en_5.5.0_3.0_1726653201619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_span_detection_en_5.5.0_3.0_1726653201619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_span_detection|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|842.5 MB|
+
+## References
+
+https://huggingface.co/AntoineBlanot/roberta-span-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_tagalog_base_ft_udpos213_ukrainian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_tagalog_base_ft_udpos213_ukrainian_pipeline_en.md
new file mode 100644
index 00000000000000..82f10000cd6eea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_tagalog_base_ft_udpos213_ukrainian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_tagalog_base_ft_udpos213_ukrainian_pipeline pipeline RoBertaForTokenClassification from hellojimson
+author: John Snow Labs
+name: roberta_tagalog_base_ft_udpos213_ukrainian_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tagalog_base_ft_udpos213_ukrainian_pipeline` is a English model originally trained by hellojimson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_ukrainian_pipeline_en_5.5.0_3.0_1726653129913.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_ukrainian_pipeline_en_5.5.0_3.0_1726653129913.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_tagalog_base_ft_udpos213_ukrainian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_tagalog_base_ft_udpos213_ukrainian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tagalog_base_ft_udpos213_ukrainian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/hellojimson/roberta-tagalog-base-ft-udpos213-uk
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_twitterfin_padding30model_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_twitterfin_padding30model_en.md
new file mode 100644
index 00000000000000..48b399e1f97599
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_twitterfin_padding30model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_twitterfin_padding30model RoBertaForSequenceClassification from Realgon
+author: John Snow Labs
+name: roberta_twitterfin_padding30model
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_twitterfin_padding30model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_twitterfin_padding30model_en_5.5.0_3.0_1726649674389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_twitterfin_padding30model_en_5.5.0_3.0_1726649674389.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_twitterfin_padding30model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|443.0 MB|
+
+## References
+
+https://huggingface.co/Realgon/roberta_twitterfin_padding30model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_untrained_1eps_seed291_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_untrained_1eps_seed291_en.md
new file mode 100644
index 00000000000000..526de12c571da8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_untrained_1eps_seed291_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_untrained_1eps_seed291 RoBertaForSequenceClassification from custeau
+author: John Snow Labs
+name: roberta_untrained_1eps_seed291
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_untrained_1eps_seed291` is a English model originally trained by custeau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_untrained_1eps_seed291_en_5.5.0_3.0_1726622172427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_untrained_1eps_seed291_en_5.5.0_3.0_1726622172427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_untrained_1eps_seed291|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.8 MB|
+
+## References
+
+https://huggingface.co/custeau/roberta_untrained_1eps_seed291
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-roberta_wikiann_conll_finetuned_chuvash_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-roberta_wikiann_conll_finetuned_chuvash_pipeline_en.md
new file mode 100644
index 00000000000000..6dd13300f7fc13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-roberta_wikiann_conll_finetuned_chuvash_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_wikiann_conll_finetuned_chuvash_pipeline pipeline RoBertaForTokenClassification from mrfirdauss
+author: John Snow Labs
+name: roberta_wikiann_conll_finetuned_chuvash_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_wikiann_conll_finetuned_chuvash_pipeline` is a English model originally trained by mrfirdauss.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_wikiann_conll_finetuned_chuvash_pipeline_en_5.5.0_3.0_1726652802266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_wikiann_conll_finetuned_chuvash_pipeline_en_5.5.0_3.0_1726652802266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_wikiann_conll_finetuned_chuvash_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_wikiann_conll_finetuned_chuvash_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_wikiann_conll_finetuned_chuvash_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.9 MB|
+
+## References
+
+https://huggingface.co/mrfirdauss/roberta_wikiann_conll_finetuned_cv
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-robertuito_3_j_en.md b/docs/_posts/ahmedlone127/2024-09-18-robertuito_3_j_en.md
new file mode 100644
index 00000000000000..76dfef65465159
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-robertuito_3_j_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English robertuito_3_j RoBertaForSequenceClassification from PEzquerra
+author: John Snow Labs
+name: robertuito_3_j
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robertuito_3_j` is a English model originally trained by PEzquerra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertuito_3_j_en_5.5.0_3.0_1726666549722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertuito_3_j_en_5.5.0_3.0_1726666549722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rottentomato_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+References
+
+https://huggingface.co/tkurtulus/rottentomato-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sad_pipeline_en.md
new file mode 100644
index 00000000000000..f4a44553285341
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sad_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sad_pipeline pipeline BertForSequenceClassification from Tianlin668
+author: John Snow Labs
+name: sad_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sad_pipeline` is a English model originally trained by Tianlin668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sad_pipeline_en_5.5.0_3.0_1726624310651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sad_pipeline_en_5.5.0_3.0_1726624310651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/Tianlin668/SAD
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sberbank_rubert_base_collection3_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-09-18-sberbank_rubert_base_collection3_pipeline_ru.md
new file mode 100644
index 00000000000000..3b871a84eac78a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sberbank_rubert_base_collection3_pipeline_ru.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Russian sberbank_rubert_base_collection3_pipeline pipeline BertForTokenClassification from viktoroo
+author: John Snow Labs
+name: sberbank_rubert_base_collection3_pipeline
+date: 2024-09-18
+tags: [ru, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sberbank_rubert_base_collection3_pipeline` is a Russian model originally trained by viktoroo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sberbank_rubert_base_collection3_pipeline_ru_5.5.0_3.0_1726699109092.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sberbank_rubert_base_collection3_pipeline_ru_5.5.0_3.0_1726699109092.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sberbank_rubert_base_collection3_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sberbank_rubert_base_collection3_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sberbank_rubert_base_collection3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|667.1 MB|
+
+## References
+
+https://huggingface.co/viktoroo/sberbank-rubert-base-collection3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-scenario_non_kd_scr_copy_cdf_all_d2_data_cardiffnlp_tweet_sentiment_multilingual_xx.md b/docs/_posts/ahmedlone127/2024-09-18-scenario_non_kd_scr_copy_cdf_all_d2_data_cardiffnlp_tweet_sentiment_multilingual_xx.md
new file mode 100644
index 00000000000000..31dcce902f10c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-scenario_non_kd_scr_copy_cdf_all_d2_data_cardiffnlp_tweet_sentiment_multilingual_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual scenario_non_kd_scr_copy_cdf_all_d2_data_cardiffnlp_tweet_sentiment_multilingual XlmRoBertaForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_non_kd_scr_copy_cdf_all_d2_data_cardiffnlp_tweet_sentiment_multilingual
+date: 2024-09-18
+tags: [xx, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scenario_non_kd_scr_copy_cdf_all_d2_data_cardiffnlp_tweet_sentiment_multilingual` is a Multilingual model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_copy_cdf_all_d2_data_cardiffnlp_tweet_sentiment_multilingual_xx_5.5.0_3.0_1726686318835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_copy_cdf_all_d2_data_cardiffnlp_tweet_sentiment_multilingual_xx_5.5.0_3.0_1726686318835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_non_kd_scr_copy_cdf_all_d2_data_cardiffnlp_tweet_sentiment_multilingual|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|883.8 MB|
+
+## References
+
+https://huggingface.co/haryoaw/scenario-NON-KD-SCR-COPY-CDF-ALL-D2_data-cardiffnlp_tweet_sentiment_multilingual
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-scenario_non_kd_scr_copy_cdf_english_d2_data_english_cardiff_eng_only_gamma_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-scenario_non_kd_scr_copy_cdf_english_d2_data_english_cardiff_eng_only_gamma_pipeline_en.md
new file mode 100644
index 00000000000000..f4507ba2eea30c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-scenario_non_kd_scr_copy_cdf_english_d2_data_english_cardiff_eng_only_gamma_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English scenario_non_kd_scr_copy_cdf_english_d2_data_english_cardiff_eng_only_gamma_pipeline pipeline XlmRoBertaForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_non_kd_scr_copy_cdf_english_d2_data_english_cardiff_eng_only_gamma_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scenario_non_kd_scr_copy_cdf_english_d2_data_english_cardiff_eng_only_gamma_pipeline` is a English model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_copy_cdf_english_d2_data_english_cardiff_eng_only_gamma_pipeline_en_5.5.0_3.0_1726671714294.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_copy_cdf_english_d2_data_english_cardiff_eng_only_gamma_pipeline_en_5.5.0_3.0_1726671714294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("scenario_non_kd_scr_copy_cdf_english_d2_data_english_cardiff_eng_only_gamma_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("scenario_non_kd_scr_copy_cdf_english_d2_data_english_cardiff_eng_only_gamma_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_non_kd_scr_copy_cdf_english_d2_data_english_cardiff_eng_only_gamma_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|883.9 MB|
+
+## References
+
+https://huggingface.co/haryoaw/scenario-NON-KD-SCR-COPY-CDF-EN-D2_data-en-cardiff_eng_only_gamma
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-second_qa_en.md b/docs/_posts/ahmedlone127/2024-09-18-second_qa_en.md
new file mode 100644
index 00000000000000..ceb73a7deb9487
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-second_qa_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English second_qa DistilBertForQuestionAnswering from mattwanjia
+author: John Snow Labs
+name: second_qa
+date: 2024-09-18
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`second_qa` is a English model originally trained by mattwanjia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/second_qa_en_5.5.0_3.0_1726644023638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/second_qa_en_5.5.0_3.0_1726644023638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|second_qa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/mattwanjia/second_qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-second_qa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-second_qa_pipeline_en.md
new file mode 100644
index 00000000000000..e87b2f1be4a908
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-second_qa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English second_qa_pipeline pipeline DistilBertForQuestionAnswering from mattwanjia
+author: John Snow Labs
+name: second_qa_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`second_qa_pipeline` is a English model originally trained by mattwanjia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/second_qa_pipeline_en_5.5.0_3.0_1726644036981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/second_qa_pipeline_en_5.5.0_3.0_1726644036981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("second_qa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("second_qa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|second_qa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mattwanjia/second_qa
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_arabertmo_base_v3_ar.md b/docs/_posts/ahmedlone127/2024-09-18-sent_arabertmo_base_v3_ar.md
new file mode 100644
index 00000000000000..4811d707423a28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_arabertmo_base_v3_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic sent_arabertmo_base_v3 BertSentenceEmbeddings from Ebtihal
+author: John Snow Labs
+name: sent_arabertmo_base_v3
+date: 2024-09-18
+tags: [ar, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_arabertmo_base_v3` is a Arabic model originally trained by Ebtihal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_arabertmo_base_v3_ar_5.5.0_3.0_1726675949156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_arabertmo_base_v3_ar_5.5.0_3.0_1726675949156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_arabertmo_base_v5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Ebtihal/AraBertMo_base_V5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_english_spanish_cased_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_english_spanish_cased_en.md
new file mode 100644
index 00000000000000..f26a7d6d14063e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_english_spanish_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_spanish_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_spanish_cased
+date: 2024-09-18
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_spanish_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_spanish_cased_en_5.5.0_3.0_1726675863733.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_spanish_cased_en_5.5.0_3.0_1726675863733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_spanish_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|422.2 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-es-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_english_spanish_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_english_spanish_cased_pipeline_en.md
new file mode 100644
index 00000000000000..123e58074ab19d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_english_spanish_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_spanish_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_spanish_cased_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_spanish_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_spanish_cased_pipeline_en_5.5.0_3.0_1726675883932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_spanish_cased_pipeline_en_5.5.0_3.0_1726675883932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_spanish_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_spanish_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_spanish_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|422.8 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-es-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_multilingual_cased_finetuned_naija_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_multilingual_cased_finetuned_naija_pipeline_xx.md
new file mode 100644
index 00000000000000..7393540e498e03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_multilingual_cased_finetuned_naija_pipeline_xx.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Multilingual sent_bert_base_multilingual_cased_finetuned_naija_pipeline pipeline BertSentenceEmbeddings from Davlan
+author: John Snow Labs
+name: sent_bert_base_multilingual_cased_finetuned_naija_pipeline
+date: 2024-09-18
+tags: [xx, open_source, pipeline, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_multilingual_cased_finetuned_naija_pipeline` is a Multilingual model originally trained by Davlan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_multilingual_cased_finetuned_naija_pipeline_xx_5.5.0_3.0_1726676277620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_multilingual_cased_finetuned_naija_pipeline_xx_5.5.0_3.0_1726676277620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_multilingual_cased_finetuned_naija_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_multilingual_cased_finetuned_naija_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_multilingual_cased_finetuned_naija_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|665.6 MB|
+
+## References
+
+https://huggingface.co/Davlan/bert-base-multilingual-cased-finetuned-naija
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_uncased_finetuned_imdb_shushuile_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_uncased_finetuned_imdb_shushuile_en.md
new file mode 100644
index 00000000000000..8cae986b85eac9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_base_uncased_finetuned_imdb_shushuile_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_imdb_shushuile BertSentenceEmbeddings from shushuile
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_imdb_shushuile
+date: 2024-09-18
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_imdb_shushuile` is a English model originally trained by shushuile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_imdb_shushuile_en_5.5.0_3.0_1726687337128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_imdb_shushuile_en_5.5.0_3.0_1726687337128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_imdb_shushuile|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/shushuile/bert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_bert_double_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_double_pipeline_en.md
new file mode 100644
index 00000000000000..10c91eef602851
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_double_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_double_pipeline pipeline BertSentenceEmbeddings from casehold
+author: John Snow Labs
+name: sent_bert_double_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_double_pipeline` is a English model originally trained by casehold.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_double_pipeline_en_5.5.0_3.0_1726687226606.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_double_pipeline_en_5.5.0_3.0_1726687226606.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_double_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_double_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_double_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.5 MB|
+
+## References
+
+https://huggingface.co/casehold/bert-double
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_bert_large_nli_ct_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_large_nli_ct_en.md
new file mode 100644
index 00000000000000..0d1480e779fcde
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_bert_large_nli_ct_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_large_nli_ct BertSentenceEmbeddings from Contrastive-Tension
+author: John Snow Labs
+name: sent_bert_large_nli_ct
+date: 2024-09-18
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_large_nli_ct` is a English model originally trained by Contrastive-Tension.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_large_nli_ct_en_5.5.0_3.0_1726675978906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_large_nli_ct_en_5.5.0_3.0_1726675978906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_large_nli_ct|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Contrastive-Tension/BERT-Large-NLI-CT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_conflibert_cont_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_conflibert_cont_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..0df845b6f32dbc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_conflibert_cont_uncased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_conflibert_cont_uncased_pipeline pipeline BertSentenceEmbeddings from snowood1
+author: John Snow Labs
+name: sent_conflibert_cont_uncased_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_conflibert_cont_uncased_pipeline` is a English model originally trained by snowood1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_conflibert_cont_uncased_pipeline_en_5.5.0_3.0_1726676225810.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_conflibert_cont_uncased_pipeline_en_5.5.0_3.0_1726676225810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_conflibert_cont_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_conflibert_cont_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_conflibert_cont_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/snowood1/ConfliBERT-cont-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_congretimbau_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_congretimbau_en.md
new file mode 100644
index 00000000000000..4550df181933e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_congretimbau_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_congretimbau BertSentenceEmbeddings from belisards
+author: John Snow Labs
+name: sent_congretimbau
+date: 2024-09-18
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_congretimbau` is a English model originally trained by belisards.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_congretimbau_en_5.5.0_3.0_1726676334967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_congretimbau_en_5.5.0_3.0_1726676334967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_congretimbau|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/belisards/congretimbau
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_congretimbau_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_congretimbau_pipeline_en.md
new file mode 100644
index 00000000000000..e2d97b727ef30a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_congretimbau_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_congretimbau_pipeline pipeline BertSentenceEmbeddings from belisards
+author: John Snow Labs
+name: sent_congretimbau_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_congretimbau_pipeline` is a English model originally trained by belisards.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_congretimbau_pipeline_en_5.5.0_3.0_1726676397245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_congretimbau_pipeline_en_5.5.0_3.0_1726676397245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_congretimbau_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_congretimbau_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_congretimbau_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/belisards/congretimbau
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_divehi_labse_dv.md b/docs/_posts/ahmedlone127/2024-09-18-sent_divehi_labse_dv.md
new file mode 100644
index 00000000000000..f0fcb66ff4124a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_divehi_labse_dv.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Dhivehi, Divehi, Maldivian sent_divehi_labse BertSentenceEmbeddings from monsoon-nlp
+author: John Snow Labs
+name: sent_divehi_labse
+date: 2024-09-18
+tags: [dv, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: dv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_divehi_labse` is a Dhivehi, Divehi, Maldivian model originally trained by monsoon-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_divehi_labse_dv_5.5.0_3.0_1726687331827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_divehi_labse_dv_5.5.0_3.0_1726687331827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_roberta_small_word_chinese_cluecorpussmall|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|240.2 MB|
+
+## References
+
+https://huggingface.co/uer/roberta-small-word-chinese-cluecorpussmall
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_ssci_bert_e4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_ssci_bert_e4_pipeline_en.md
new file mode 100644
index 00000000000000..d31d8ee7def661
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_ssci_bert_e4_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_ssci_bert_e4_pipeline pipeline BertSentenceEmbeddings from KM4STfulltext
+author: John Snow Labs
+name: sent_ssci_bert_e4_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_ssci_bert_e4_pipeline` is a English model originally trained by KM4STfulltext.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_ssci_bert_e4_pipeline_en_5.5.0_3.0_1726687228577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_ssci_bert_e4_pipeline_en_5.5.0_3.0_1726687228577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_ssci_bert_e4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_ssci_bert_e4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_ssci_bert_e4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.1 MB|
+
+## References
+
+https://huggingface.co/KM4STfulltext/SSCI-BERT-e4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sentiment_roberta_large_e12_b16_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sentiment_roberta_large_e12_b16_pipeline_en.md
new file mode 100644
index 00000000000000..d821424357830b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sentiment_roberta_large_e12_b16_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_roberta_large_e12_b16_pipeline pipeline RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sentiment_roberta_large_e12_b16_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_roberta_large_e12_b16_pipeline` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_roberta_large_e12_b16_pipeline_en_5.5.0_3.0_1726650725143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_roberta_large_e12_b16_pipeline_en_5.5.0_3.0_1726650725143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_roberta_large_e12_b16_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_roberta_large_e12_b16_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_roberta_large_e12_b16_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/JerryYanJiang/sentiment-roberta-large-e12-b16
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_en.md b/docs/_posts/ahmedlone127/2024-09-18-sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_en.md
new file mode 100644
index 00000000000000..2ea4c90342650e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_en_5.5.0_3.0_1726628631916.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m_en_5.5.0_3.0_1726628631916.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_random0_seed0_twitter_roberta_base_2021_124m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_random0_seed0-twitter-roberta-base-2021-124m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-seven_emotion_finetuned_twitter_xlm_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-18-seven_emotion_finetuned_twitter_xlm_roberta_base_en.md
new file mode 100644
index 00000000000000..28007223064806
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-seven_emotion_finetuned_twitter_xlm_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English seven_emotion_finetuned_twitter_xlm_roberta_base XlmRoBertaForSequenceClassification from 02shanky
+author: John Snow Labs
+name: seven_emotion_finetuned_twitter_xlm_roberta_base
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`seven_emotion_finetuned_twitter_xlm_roberta_base` is a English model originally trained by 02shanky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/seven_emotion_finetuned_twitter_xlm_roberta_base_en_5.5.0_3.0_1726686586847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/seven_emotion_finetuned_twitter_xlm_roberta_base_en_5.5.0_3.0_1726686586847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|seven_emotion_finetuned_twitter_xlm_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/02shanky/seven-emotion-finetuned-twitter-xlm-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-seven_emotion_finetuned_twitter_xlm_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-seven_emotion_finetuned_twitter_xlm_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..bc860d4bb40bd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-seven_emotion_finetuned_twitter_xlm_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English seven_emotion_finetuned_twitter_xlm_roberta_base_pipeline pipeline XlmRoBertaForSequenceClassification from 02shanky
+author: John Snow Labs
+name: seven_emotion_finetuned_twitter_xlm_roberta_base_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`seven_emotion_finetuned_twitter_xlm_roberta_base_pipeline` is a English model originally trained by 02shanky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/seven_emotion_finetuned_twitter_xlm_roberta_base_pipeline_en_5.5.0_3.0_1726686636263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/seven_emotion_finetuned_twitter_xlm_roberta_base_pipeline_en_5.5.0_3.0_1726686636263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("seven_emotion_finetuned_twitter_xlm_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("seven_emotion_finetuned_twitter_xlm_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|seven_emotion_finetuned_twitter_xlm_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/02shanky/seven-emotion-finetuned-twitter-xlm-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-social_media_fake_news_detection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-social_media_fake_news_detection_pipeline_en.md
new file mode 100644
index 00000000000000..328d953d484c60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-social_media_fake_news_detection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English social_media_fake_news_detection_pipeline pipeline RoBertaForSequenceClassification from ljz512187207
+author: John Snow Labs
+name: social_media_fake_news_detection_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`social_media_fake_news_detection_pipeline` is a English model originally trained by ljz512187207.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/social_media_fake_news_detection_pipeline_en_5.5.0_3.0_1726621693674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/social_media_fake_news_detection_pipeline_en_5.5.0_3.0_1726621693674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("social_media_fake_news_detection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("social_media_fake_news_detection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|social_media_fake_news_detection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/ljz512187207/Social_Media_Fake_News_Detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-soongsilbert_nsmc_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-soongsilbert_nsmc_base_pipeline_en.md
new file mode 100644
index 00000000000000..069d343fbc3b8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-soongsilbert_nsmc_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English soongsilbert_nsmc_base_pipeline pipeline RoBertaForSequenceClassification from jason9693
+author: John Snow Labs
+name: soongsilbert_nsmc_base_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`soongsilbert_nsmc_base_pipeline` is a English model originally trained by jason9693.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/soongsilbert_nsmc_base_pipeline_en_5.5.0_3.0_1726690004866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/soongsilbert_nsmc_base_pipeline_en_5.5.0_3.0_1726690004866.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("soongsilbert_nsmc_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("soongsilbert_nsmc_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|soongsilbert_nsmc_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|368.7 MB|
+
+## References
+
+https://huggingface.co/jason9693/SoongsilBERT-nsmc-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sst5_padding40model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-sst5_padding40model_pipeline_en.md
new file mode 100644
index 00000000000000..de4bf7d6ded53b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sst5_padding40model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sst5_padding40model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: sst5_padding40model_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sst5_padding40model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sst5_padding40model_pipeline_en_5.5.0_3.0_1726630180420.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sst5_padding40model_pipeline_en_5.5.0_3.0_1726630180420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sst5_padding40model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sst5_padding40model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sst5_padding40model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/sst5_padding40model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-t_103_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-t_103_pipeline_en.md
new file mode 100644
index 00000000000000..1066756009c757
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-t_103_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English t_103_pipeline pipeline RoBertaForSequenceClassification from Pablojmed
+author: John Snow Labs
+name: t_103_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t_103_pipeline` is a English model originally trained by Pablojmed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t_103_pipeline_en_5.5.0_3.0_1726650419310.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t_103_pipeline_en_5.5.0_3.0_1726650419310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("t_103_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("t_103_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t_103_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.2 MB|
+
+## References
+
+https://huggingface.co/Pablojmed/t_103
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-t_8_en.md b/docs/_posts/ahmedlone127/2024-09-18-t_8_en.md
new file mode 100644
index 00000000000000..418699e5a9dea6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-t_8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English t_8 RoBertaForSequenceClassification from Pablojmed
+author: John Snow Labs
+name: t_8
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t_8` is a English model originally trained by Pablojmed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t_8_en_5.5.0_3.0_1726642340469.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t_8_en_5.5.0_3.0_1726642340469.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t_8|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.2 MB|
+
+## References
+
+https://huggingface.co/Pablojmed/t_8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-test4_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-test4_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..5ec38e735ed859
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-test4_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test4_distilbert_pipeline pipeline DistilBertForSequenceClassification from Daniel246
+author: John Snow Labs
+name: test4_distilbert_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test4_distilbert_pipeline` is a English model originally trained by Daniel246.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test4_distilbert_pipeline_en_5.5.0_3.0_1726669913613.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test4_distilbert_pipeline_en_5.5.0_3.0_1726669913613.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test4_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test4_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test4_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Daniel246/test4_distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-test_forwarder1121_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-test_forwarder1121_pipeline_en.md
new file mode 100644
index 00000000000000..b8730ba34100a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-test_forwarder1121_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_forwarder1121_pipeline pipeline DistilBertForSequenceClassification from forwarder1121
+author: John Snow Labs
+name: test_forwarder1121_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_forwarder1121_pipeline` is a English model originally trained by forwarder1121.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_forwarder1121_pipeline_en_5.5.0_3.0_1726681828226.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_forwarder1121_pipeline_en_5.5.0_3.0_1726681828226.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_forwarder1121_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_forwarder1121_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_forwarder1121_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/forwarder1121/test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-test_model_cynthiaaaaaaaa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-test_model_cynthiaaaaaaaa_pipeline_en.md
new file mode 100644
index 00000000000000..8d742e998d9ae2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-test_model_cynthiaaaaaaaa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_model_cynthiaaaaaaaa_pipeline pipeline DistilBertForSequenceClassification from Cynthiaaaaaaaa
+author: John Snow Labs
+name: test_model_cynthiaaaaaaaa_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_model_cynthiaaaaaaaa_pipeline` is a English model originally trained by Cynthiaaaaaaaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model_cynthiaaaaaaaa_pipeline_en_5.5.0_3.0_1726669803395.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model_cynthiaaaaaaaa_pipeline_en_5.5.0_3.0_1726669803395.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_model_cynthiaaaaaaaa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_model_cynthiaaaaaaaa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_model_cynthiaaaaaaaa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Cynthiaaaaaaaa/test_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-tibetan_roberta_s_e2_en.md b/docs/_posts/ahmedlone127/2024-09-18-tibetan_roberta_s_e2_en.md
new file mode 100644
index 00000000000000..029dd9ef64ec27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-tibetan_roberta_s_e2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tibetan_roberta_s_e2 RoBertaEmbeddings from spsither
+author: John Snow Labs
+name: tibetan_roberta_s_e2
+date: 2024-09-18
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tibetan_roberta_s_e2` is a English model originally trained by spsither.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tibetan_roberta_s_e2_en_5.5.0_3.0_1726626757795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tibetan_roberta_s_e2_en_5.5.0_3.0_1726626757795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tibetan_roberta_s_e2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|311.7 MB|
+
+## References
+
+https://huggingface.co/spsither/tibetan_RoBERTa_S_e2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-tibetan_roberta_s_e2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-tibetan_roberta_s_e2_pipeline_en.md
new file mode 100644
index 00000000000000..09ea46f25457e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-tibetan_roberta_s_e2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tibetan_roberta_s_e2_pipeline pipeline RoBertaEmbeddings from spsither
+author: John Snow Labs
+name: tibetan_roberta_s_e2_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tibetan_roberta_s_e2_pipeline` is a English model originally trained by spsither.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tibetan_roberta_s_e2_pipeline_en_5.5.0_3.0_1726626772664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tibetan_roberta_s_e2_pipeline_en_5.5.0_3.0_1726626772664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tibetan_roberta_s_e2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tibetan_roberta_s_e2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tibetan_roberta_s_e2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|311.7 MB|
+
+## References
+
+https://huggingface.co/spsither/tibetan_RoBERTa_S_e2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-topic_topic_random2_seed0_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-18-topic_topic_random2_seed0_bernice_en.md
new file mode 100644
index 00000000000000..de3f0d92fffda0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-topic_topic_random2_seed0_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English topic_topic_random2_seed0_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random2_seed0_bernice
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random2_seed0_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random2_seed0_bernice_en_5.5.0_3.0_1726660832243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random2_seed0_bernice_en_5.5.0_3.0_1726660832243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random2_seed0_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|805.5 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random2_seed0-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-toxicbot_en.md b/docs/_posts/ahmedlone127/2024-09-18-toxicbot_en.md
new file mode 100644
index 00000000000000..77f1428fb38ec9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-toxicbot_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English toxicbot RoBertaForSequenceClassification from CobaltAlchemist
+author: John Snow Labs
+name: toxicbot
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxicbot` is a English model originally trained by CobaltAlchemist.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxicbot_en_5.5.0_3.0_1726665705723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxicbot_en_5.5.0_3.0_1726665705723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxicbot|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/CobaltAlchemist/Toxicbot
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-trainer2f_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-trainer2f_pipeline_en.md
new file mode 100644
index 00000000000000..21cfddb68e3131
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-trainer2f_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English trainer2f_pipeline pipeline DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: trainer2f_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer2f_pipeline` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer2f_pipeline_en_5.5.0_3.0_1726695258517.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer2f_pipeline_en_5.5.0_3.0_1726695258517.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trainer2f_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trainer2f_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainer2f_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SimoneJLaudani/trainer2F
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-trainer5c_en.md b/docs/_posts/ahmedlone127/2024-09-18-trainer5c_en.md
new file mode 100644
index 00000000000000..eec873b9fb048d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-trainer5c_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trainer5c DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: trainer5c
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer5c` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer5c_en_5.5.0_3.0_1726680524461.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer5c_en_5.5.0_3.0_1726680524461.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainer5c|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/SimoneJLaudani/trainer5c
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-transient_data_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-transient_data_pipeline_en.md
new file mode 100644
index 00000000000000..3d609ea4a63da3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-transient_data_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English transient_data_pipeline pipeline DistilBertForSequenceClassification from Jingni
+author: John Snow Labs
+name: transient_data_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`transient_data_pipeline` is a English model originally trained by Jingni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/transient_data_pipeline_en_5.5.0_3.0_1726670097054.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/transient_data_pipeline_en_5.5.0_3.0_1726670097054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("transient_data_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("transient_data_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|transient_data_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Jingni/transient_data
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-uned_tfg_08_57_mas_frecuentes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-uned_tfg_08_57_mas_frecuentes_pipeline_en.md
new file mode 100644
index 00000000000000..5271c95685689c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-uned_tfg_08_57_mas_frecuentes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English uned_tfg_08_57_mas_frecuentes_pipeline pipeline RoBertaForSequenceClassification from alexisdr
+author: John Snow Labs
+name: uned_tfg_08_57_mas_frecuentes_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`uned_tfg_08_57_mas_frecuentes_pipeline` is a English model originally trained by alexisdr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/uned_tfg_08_57_mas_frecuentes_pipeline_en_5.5.0_3.0_1726628734094.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/uned_tfg_08_57_mas_frecuentes_pipeline_en_5.5.0_3.0_1726628734094.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("uned_tfg_08_57_mas_frecuentes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("uned_tfg_08_57_mas_frecuentes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|uned_tfg_08_57_mas_frecuentes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|425.7 MB|
+
+## References
+
+https://huggingface.co/alexisdr/uned-tfg-08.57_mas_frecuentes
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-uned_tfg_08_86_mas_frecuentes_en.md b/docs/_posts/ahmedlone127/2024-09-18-uned_tfg_08_86_mas_frecuentes_en.md
new file mode 100644
index 00000000000000..69987c415b5796
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-uned_tfg_08_86_mas_frecuentes_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English uned_tfg_08_86_mas_frecuentes RoBertaForSequenceClassification from alexisdr
+author: John Snow Labs
+name: uned_tfg_08_86_mas_frecuentes
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`uned_tfg_08_86_mas_frecuentes` is a English model originally trained by alexisdr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/uned_tfg_08_86_mas_frecuentes_en_5.5.0_3.0_1726666545021.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/uned_tfg_08_86_mas_frecuentes_en_5.5.0_3.0_1726666545021.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|uned_tfg_08_86_mas_frecuentes|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|427.5 MB|
+
+## References
+
+https://huggingface.co/alexisdr/uned-tfg-08.86_mas_frecuentes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-vp_visobert_syl_viwikifc_en.md b/docs/_posts/ahmedlone127/2024-09-18-vp_visobert_syl_viwikifc_en.md
new file mode 100644
index 00000000000000..662c8abc7c24a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-vp_visobert_syl_viwikifc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English vp_visobert_syl_viwikifc XlmRoBertaForSequenceClassification from tringuyen-uit
+author: John Snow Labs
+name: vp_visobert_syl_viwikifc
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vp_visobert_syl_viwikifc` is a English model originally trained by tringuyen-uit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vp_visobert_syl_viwikifc_en_5.5.0_3.0_1726696944388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vp_visobert_syl_viwikifc_en_5.5.0_3.0_1726696944388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vp_visobert_syl_viwikifc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|365.9 MB|
+
+## References
+
+https://huggingface.co/tringuyen-uit/VP_ViSoBERT_syl_ViWikiFC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-withinapps_ndd_mrbs_test_content_cwadj_en.md b/docs/_posts/ahmedlone127/2024-09-18-withinapps_ndd_mrbs_test_content_cwadj_en.md
new file mode 100644
index 00000000000000..ec6683a45e9cfa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-withinapps_ndd_mrbs_test_content_cwadj_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English withinapps_ndd_mrbs_test_content_cwadj DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_mrbs_test_content_cwadj
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_mrbs_test_content_cwadj` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_mrbs_test_content_cwadj_en_5.5.0_3.0_1726696003827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_mrbs_test_content_cwadj_en_5.5.0_3.0_1726696003827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_mrbs_test_content_cwadj|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-mrbs_test-content-CWAdj
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-withinapps_ndd_pagekit_test_content_cwadj_en.md b/docs/_posts/ahmedlone127/2024-09-18-withinapps_ndd_pagekit_test_content_cwadj_en.md
new file mode 100644
index 00000000000000..4571f0aca93ed0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-withinapps_ndd_pagekit_test_content_cwadj_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English withinapps_ndd_pagekit_test_content_cwadj DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_pagekit_test_content_cwadj
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_pagekit_test_content_cwadj` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_pagekit_test_content_cwadj_en_5.5.0_3.0_1726630469491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_pagekit_test_content_cwadj_en_5.5.0_3.0_1726630469491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_pagekit_test_content_cwadj|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-pagekit_test-content-CWAdj
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-withinapps_ndd_pagekit_test_content_cwadj_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-withinapps_ndd_pagekit_test_content_cwadj_pipeline_en.md
new file mode 100644
index 00000000000000..663f88a919c1ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-withinapps_ndd_pagekit_test_content_cwadj_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English withinapps_ndd_pagekit_test_content_cwadj_pipeline pipeline DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_pagekit_test_content_cwadj_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_pagekit_test_content_cwadj_pipeline` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_pagekit_test_content_cwadj_pipeline_en_5.5.0_3.0_1726630481737.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_pagekit_test_content_cwadj_pipeline_en_5.5.0_3.0_1726630481737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("withinapps_ndd_pagekit_test_content_cwadj_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("withinapps_ndd_pagekit_test_content_cwadj_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_pagekit_test_content_cwadj_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-pagekit_test-content-CWAdj
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinte_tweet_finetuned_kinyarwanda_sent2_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinte_tweet_finetuned_kinyarwanda_sent2_en.md
new file mode 100644
index 00000000000000..e16a7230e179e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinte_tweet_finetuned_kinyarwanda_sent2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinte_tweet_finetuned_kinyarwanda_sent2 XlmRoBertaForSequenceClassification from RogerB
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinte_tweet_finetuned_kinyarwanda_sent2
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinte_tweet_finetuned_kinyarwanda_sent2` is a English model originally trained by RogerB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinte_tweet_finetuned_kinyarwanda_sent2_en_5.5.0_3.0_1726685424102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinte_tweet_finetuned_kinyarwanda_sent2_en_5.5.0_3.0_1726685424102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinte_tweet_finetuned_kinyarwanda_sent2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/RogerB/xlm-roberta-base-finetuned-kinyarwanda-kin-finetuned-kinte-tweet-finetuned-kin-sent2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_marc_english_tkesonia_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_marc_english_tkesonia_pipeline_en.md
new file mode 100644
index 00000000000000..2315b7b7f2db76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_marc_english_tkesonia_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_marc_english_tkesonia_pipeline pipeline XlmRoBertaForSequenceClassification from tkesonia
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_marc_english_tkesonia_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_marc_english_tkesonia_pipeline` is a English model originally trained by tkesonia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_english_tkesonia_pipeline_en_5.5.0_3.0_1726633080295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_english_tkesonia_pipeline_en_5.5.0_3.0_1726633080295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_marc_english_tkesonia_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_marc_english_tkesonia_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_marc_english_tkesonia_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|833.5 MB|
+
+## References
+
+https://huggingface.co/tkesonia/xlm-roberta-base-finetuned-marc-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_k4west_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_k4west_en.md
new file mode 100644
index 00000000000000..37244840af02b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_k4west_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_k4west XlmRoBertaForTokenClassification from k4west
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_k4west
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_k4west` is a English model originally trained by k4west.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_k4west_en_5.5.0_3.0_1726657082863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_k4west_en_5.5.0_3.0_1726657082863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_k4west|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|848.0 MB|
+
+## References
+
+https://huggingface.co/k4west/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_k4west_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_k4west_pipeline_en.md
new file mode 100644
index 00000000000000..aeeedf80c6d1b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_k4west_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_k4west_pipeline pipeline XlmRoBertaForTokenClassification from k4west
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_k4west_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_k4west_pipeline` is a English model originally trained by k4west.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_k4west_pipeline_en_5.5.0_3.0_1726657167112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_k4west_pipeline_en_5.5.0_3.0_1726657167112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_k4west_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_k4west_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_k4west_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|848.0 MB|
+
+## References
+
+https://huggingface.co/k4west/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_vantaa32_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_vantaa32_pipeline_en.md
new file mode 100644
index 00000000000000..c48a3a73155e2e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_vantaa32_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_vantaa32_pipeline pipeline XlmRoBertaForTokenClassification from vantaa32
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_vantaa32_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_vantaa32_pipeline` is a English model originally trained by vantaa32.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_vantaa32_pipeline_en_5.5.0_3.0_1726701812115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_vantaa32_pipeline_en_5.5.0_3.0_1726701812115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_vantaa32_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_vantaa32_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_vantaa32_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|848.0 MB|
+
+## References
+
+https://huggingface.co/vantaa32/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_zardian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_zardian_pipeline_en.md
new file mode 100644
index 00000000000000..3d11e2823faa59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_all_zardian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_zardian_pipeline pipeline XlmRoBertaForTokenClassification from Zardian
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_zardian_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_zardian_pipeline` is a English model originally trained by Zardian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_zardian_pipeline_en_5.5.0_3.0_1726635774845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_zardian_pipeline_en_5.5.0_3.0_1726635774845.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_zardian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_zardian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_zardian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|848.0 MB|
+
+## References
+
+https://huggingface.co/Zardian/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_edwardjross_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_edwardjross_pipeline_en.md
new file mode 100644
index 00000000000000..4569196131db2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_edwardjross_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_edwardjross_pipeline pipeline XlmRoBertaForTokenClassification from edwardjross
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_edwardjross_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_edwardjross_pipeline` is a English model originally trained by edwardjross.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_edwardjross_pipeline_en_5.5.0_3.0_1726657450029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_edwardjross_pipeline_en_5.5.0_3.0_1726657450029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_edwardjross_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_edwardjross_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_edwardjross_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|827.2 MB|
+
+## References
+
+https://huggingface.co/edwardjross/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_praboda_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_praboda_en.md
new file mode 100644
index 00000000000000..228b4369bd34d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_praboda_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_praboda XlmRoBertaForTokenClassification from Praboda
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_praboda
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_praboda` is a English model originally trained by Praboda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_praboda_en_5.5.0_3.0_1726635605141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_praboda_en_5.5.0_3.0_1726635605141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_praboda|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/Praboda/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_v3rx2000_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_v3rx2000_en.md
new file mode 100644
index 00000000000000..c030ff78b72639
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_v3rx2000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_v3rx2000 XlmRoBertaForTokenClassification from V3RX2000
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_v3rx2000
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_v3rx2000` is a English model originally trained by V3RX2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_v3rx2000_en_5.5.0_3.0_1726657318938.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_v3rx2000_en_5.5.0_3.0_1726657318938.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_v3rx2000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/V3RX2000/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_v3rx2000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_v3rx2000_pipeline_en.md
new file mode 100644
index 00000000000000..5799a91017f652
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_english_v3rx2000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_v3rx2000_pipeline pipeline XlmRoBertaForTokenClassification from V3RX2000
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_v3rx2000_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_v3rx2000_pipeline` is a English model originally trained by V3RX2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_v3rx2000_pipeline_en_5.5.0_3.0_1726657417487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_v3rx2000_pipeline_en_5.5.0_3.0_1726657417487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_v3rx2000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_v3rx2000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_v3rx2000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/V3RX2000/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_abdelkareem_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_abdelkareem_pipeline_en.md
new file mode 100644
index 00000000000000..87ca1c616dd992
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_abdelkareem_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_abdelkareem_pipeline pipeline XlmRoBertaForTokenClassification from Abdelkareem
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_abdelkareem_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_abdelkareem_pipeline` is a English model originally trained by Abdelkareem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_abdelkareem_pipeline_en_5.5.0_3.0_1726635187036.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_abdelkareem_pipeline_en_5.5.0_3.0_1726635187036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_abdelkareem_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_abdelkareem_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_abdelkareem_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/Abdelkareem/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_mealduct_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_mealduct_en.md
new file mode 100644
index 00000000000000..16bb6df36de895
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_mealduct_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_mealduct XlmRoBertaForTokenClassification from MealDuct
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_mealduct
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_mealduct` is a English model originally trained by MealDuct.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_mealduct_en_5.5.0_3.0_1726656599257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_mealduct_en_5.5.0_3.0_1726656599257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_mealduct|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/MealDuct/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_mikhab_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_mikhab_pipeline_en.md
new file mode 100644
index 00000000000000..7f5333d8e9e876
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_mikhab_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_mikhab_pipeline pipeline XlmRoBertaForTokenClassification from mikhab
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_mikhab_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_mikhab_pipeline` is a English model originally trained by mikhab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_mikhab_pipeline_en_5.5.0_3.0_1726663059750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_mikhab_pipeline_en_5.5.0_3.0_1726663059750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_mikhab_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_mikhab_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_mikhab_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/mikhab/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_ryo_hsgw_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_ryo_hsgw_pipeline_en.md
new file mode 100644
index 00000000000000..61018fe4855211
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_french_ryo_hsgw_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_ryo_hsgw_pipeline pipeline XlmRoBertaForTokenClassification from ryo-hsgw
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_ryo_hsgw_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_ryo_hsgw_pipeline` is a English model originally trained by ryo-hsgw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ryo_hsgw_pipeline_en_5.5.0_3.0_1726656026207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ryo_hsgw_pipeline_en_5.5.0_3.0_1726656026207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_ryo_hsgw_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_ryo_hsgw_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_ryo_hsgw_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/ryo-hsgw/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_cykim_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_cykim_en.md
new file mode 100644
index 00000000000000..a9c8c77f1fcb81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_cykim_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_cykim XlmRoBertaForTokenClassification from cykim
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_cykim
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_cykim` is a English model originally trained by cykim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_cykim_en_5.5.0_3.0_1726636497759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_cykim_en_5.5.0_3.0_1726636497759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_cykim|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.4 MB|
+
+## References
+
+https://huggingface.co/cykim/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_conorjudge_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_conorjudge_pipeline_en.md
new file mode 100644
index 00000000000000..79e7a6dfa52a45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_conorjudge_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_conorjudge_pipeline pipeline XlmRoBertaForTokenClassification from conorjudge
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_conorjudge_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_conorjudge_pipeline` is a English model originally trained by conorjudge.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_conorjudge_pipeline_en_5.5.0_3.0_1726657154146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_conorjudge_pipeline_en_5.5.0_3.0_1726657154146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_conorjudge_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_conorjudge_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_conorjudge_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/conorjudge/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_gus07ven_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_gus07ven_en.md
new file mode 100644
index 00000000000000..f5ea4b695c4cb0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_french_gus07ven_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_gus07ven XlmRoBertaForTokenClassification from gus07ven
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_gus07ven
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_gus07ven` is a English model originally trained by gus07ven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_gus07ven_en_5.5.0_3.0_1726664007515.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_gus07ven_en_5.5.0_3.0_1726664007515.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_gus07ven|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/gus07ven/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_isaacp_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_isaacp_en.md
new file mode 100644
index 00000000000000..ee84ccbf003426
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_isaacp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_isaacp XlmRoBertaForTokenClassification from Isaacp
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_isaacp
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_isaacp` is a English model originally trained by Isaacp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_isaacp_en_5.5.0_3.0_1726635836369.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_isaacp_en_5.5.0_3.0_1726635836369.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_isaacp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/Isaacp/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_km0228kr_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_km0228kr_en.md
new file mode 100644
index 00000000000000..7f1662c21e1d10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_km0228kr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_km0228kr XlmRoBertaForTokenClassification from km0228kr
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_km0228kr
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_km0228kr` is a English model originally trained by km0228kr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_km0228kr_en_5.5.0_3.0_1726635255555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_km0228kr_en_5.5.0_3.0_1726635255555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_km0228kr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/km0228kr/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_postrational_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_postrational_en.md
new file mode 100644
index 00000000000000..6dc720adf595d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_postrational_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_postrational XlmRoBertaForTokenClassification from postrational
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_postrational
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_postrational` is a English model originally trained by postrational.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_postrational_en_5.5.0_3.0_1726656945035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_postrational_en_5.5.0_3.0_1726656945035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_postrational|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/postrational/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_yujini_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_yujini_en.md
new file mode 100644
index 00000000000000..0d3a6d4503e7d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_yujini_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_yujini XlmRoBertaForTokenClassification from yujini
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_yujini
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_yujini` is a English model originally trained by yujini.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_yujini_en_5.5.0_3.0_1726656515148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_yujini_en_5.5.0_3.0_1726656515148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_yujini|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.8 MB|
+
+## References
+
+https://huggingface.co/yujini/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_yujini_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_yujini_pipeline_en.md
new file mode 100644
index 00000000000000..fefb8357e8a817
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_yujini_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_yujini_pipeline pipeline XlmRoBertaForTokenClassification from yujini
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_yujini_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_yujini_pipeline` is a English model originally trained by yujini.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_yujini_pipeline_en_5.5.0_3.0_1726656579429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_yujini_pipeline_en_5.5.0_3.0_1726656579429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_yujini_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_yujini_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_yujini_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.8 MB|
+
+## References
+
+https://huggingface.co/yujini/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_raw_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_raw_en.md
new file mode 100644
index 00000000000000..8117f7f2bbed51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_raw_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_raw XlmRoBertaForSequenceClassification from 5imp5on
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_raw
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_raw` is a English model originally trained by 5imp5on.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_raw_en_5.5.0_3.0_1726697090645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_raw_en_5.5.0_3.0_1726697090645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_raw|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|823.7 MB|
+
+## References
+
+https://huggingface.co/5imp5on/xlm-roberta-base-finetuned-raw
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_headtuned_panx_german_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_headtuned_panx_german_en.md
new file mode 100644
index 00000000000000..9885193633ab93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_headtuned_panx_german_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_headtuned_panx_german XlmRoBertaForTokenClassification from jeremygf
+author: John Snow Labs
+name: xlm_roberta_base_headtuned_panx_german
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_headtuned_panx_german` is a English model originally trained by jeremygf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_headtuned_panx_german_en_5.5.0_3.0_1726656032019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_headtuned_panx_german_en_5.5.0_3.0_1726656032019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_headtuned_panx_german|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|653.0 MB|
+
+## References
+
+https://huggingface.co/jeremygf/xlm-roberta-base-headtuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_headtuned_panx_german_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_headtuned_panx_german_pipeline_en.md
new file mode 100644
index 00000000000000..6538cf94666ef6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_headtuned_panx_german_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_headtuned_panx_german_pipeline pipeline XlmRoBertaForTokenClassification from jeremygf
+author: John Snow Labs
+name: xlm_roberta_base_headtuned_panx_german_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_headtuned_panx_german_pipeline` is a English model originally trained by jeremygf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_headtuned_panx_german_pipeline_en_5.5.0_3.0_1726656227746.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_headtuned_panx_german_pipeline_en_5.5.0_3.0_1726656227746.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_headtuned_panx_german_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_headtuned_panx_german_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_headtuned_panx_german_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|653.0 MB|
+
+## References
+
+https://huggingface.co/jeremygf/xlm-roberta-base-headtuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_lr2e_05_seed42_basic_eng_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_lr2e_05_seed42_basic_eng_train_pipeline_en.md
new file mode 100644
index 00000000000000..85a187875cb400
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_lr2e_05_seed42_basic_eng_train_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_lr2e_05_seed42_basic_eng_train_pipeline pipeline XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr2e_05_seed42_basic_eng_train_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr2e_05_seed42_basic_eng_train_pipeline` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr2e_05_seed42_basic_eng_train_pipeline_en_5.5.0_3.0_1726685797226.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr2e_05_seed42_basic_eng_train_pipeline_en_5.5.0_3.0_1726685797226.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_lr2e_05_seed42_basic_eng_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_lr2e_05_seed42_basic_eng_train_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr2e_05_seed42_basic_eng_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|791.0 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr2e-05_seed42_basic_eng_train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_rte_10_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_rte_10_en.md
new file mode 100644
index 00000000000000..0ebea33b332167
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_rte_10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_rte_10 XlmRoBertaForSequenceClassification from tmnam20
+author: John Snow Labs
+name: xlm_roberta_base_rte_10
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_rte_10` is a English model originally trained by tmnam20.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_rte_10_en_5.5.0_3.0_1726697613753.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_rte_10_en_5.5.0_3.0_1726697613753.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_rte_10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|784.1 MB|
+
+## References
+
+https://huggingface.co/tmnam20/xlm-roberta-base-rte-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_trimmed_arabic_tweet_sentiment_arabic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_trimmed_arabic_tweet_sentiment_arabic_pipeline_en.md
new file mode 100644
index 00000000000000..41cefee79387a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_trimmed_arabic_tweet_sentiment_arabic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_arabic_tweet_sentiment_arabic_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_arabic_tweet_sentiment_arabic_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_arabic_tweet_sentiment_arabic_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_arabic_tweet_sentiment_arabic_pipeline_en_5.5.0_3.0_1726660767462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_arabic_tweet_sentiment_arabic_pipeline_en_5.5.0_3.0_1726660767462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_trimmed_arabic_tweet_sentiment_arabic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_trimmed_arabic_tweet_sentiment_arabic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_arabic_tweet_sentiment_arabic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|423.5 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-ar-tweet-sentiment-ar
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_ukraine_waray_philippines_official_v2_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_ukraine_waray_philippines_official_v2_en.md
new file mode 100644
index 00000000000000..ffaa21ac2a7887
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_ukraine_waray_philippines_official_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_ukraine_waray_philippines_official_v2 XlmRoBertaForSequenceClassification from YaraKyrychenko
+author: John Snow Labs
+name: xlm_roberta_base_ukraine_waray_philippines_official_v2
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_ukraine_waray_philippines_official_v2` is a English model originally trained by YaraKyrychenko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_ukraine_waray_philippines_official_v2_en_5.5.0_3.0_1726698185551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_ukraine_waray_philippines_official_v2_en_5.5.0_3.0_1726698185551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_ukraine_waray_philippines_official_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|880.6 MB|
+
+## References
+
+https://huggingface.co/YaraKyrychenko/xlm-roberta-base-ukraine-war-official-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_ukraine_waray_philippines_official_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_ukraine_waray_philippines_official_v2_pipeline_en.md
new file mode 100644
index 00000000000000..94ca9e021ba792
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_ukraine_waray_philippines_official_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_ukraine_waray_philippines_official_v2_pipeline pipeline XlmRoBertaForSequenceClassification from YaraKyrychenko
+author: John Snow Labs
+name: xlm_roberta_base_ukraine_waray_philippines_official_v2_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_ukraine_waray_philippines_official_v2_pipeline` is a English model originally trained by YaraKyrychenko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_ukraine_waray_philippines_official_v2_pipeline_en_5.5.0_3.0_1726698248470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_ukraine_waray_philippines_official_v2_pipeline_en_5.5.0_3.0_1726698248470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_ukraine_waray_philippines_official_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_ukraine_waray_philippines_official_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_ukraine_waray_philippines_official_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|880.6 MB|
+
+## References
+
+https://huggingface.co/YaraKyrychenko/xlm-roberta-base-ukraine-war-official-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_english_trimmed_english_15000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_english_trimmed_english_15000_pipeline_en.md
new file mode 100644
index 00000000000000..dd85f08528e4e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_english_trimmed_english_15000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_english_trimmed_english_15000_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_english_trimmed_english_15000_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_english_trimmed_english_15000_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_english_trimmed_english_15000_pipeline_en_5.5.0_3.0_1726672312483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_english_trimmed_english_15000_pipeline_en_5.5.0_3.0_1726672312483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_xnli_english_trimmed_english_15000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_xnli_english_trimmed_english_15000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_english_trimmed_english_15000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|367.4 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-en-trimmed-en-15000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_french_trimmed_french_10000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_french_trimmed_french_10000_pipeline_en.md
new file mode 100644
index 00000000000000..7c7b80272a63b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_french_trimmed_french_10000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_french_trimmed_french_10000_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_french_trimmed_french_10000_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_french_trimmed_french_10000_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_french_trimmed_french_10000_pipeline_en_5.5.0_3.0_1726659578880.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_french_trimmed_french_10000_pipeline_en_5.5.0_3.0_1726659578880.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_xnli_french_trimmed_french_10000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_xnli_french_trimmed_french_10000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_french_trimmed_french_10000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|353.5 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-fr-trimmed-fr-10000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_german_trimmed_german_10000_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_german_trimmed_german_10000_en.md
new file mode 100644
index 00000000000000..5ce6c06d77177d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_xnli_german_trimmed_german_10000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_german_trimmed_german_10000 XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_german_trimmed_german_10000
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_german_trimmed_german_10000` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_german_trimmed_german_10000_en_5.5.0_3.0_1726660354839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_german_trimmed_german_10000_en_5.5.0_3.0_1726660354839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_german_trimmed_german_10000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|353.6 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-de-trimmed-de-10000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_zero_shot_classifier_xnli_anli_mnli_snli_xx.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_zero_shot_classifier_xnli_anli_mnli_snli_xx.md
new file mode 100644
index 00000000000000..4cb29b24e4b65a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_zero_shot_classifier_xnli_anli_mnli_snli_xx.md
@@ -0,0 +1,107 @@
+---
+layout: model
+title: XlmRoBertaZero-Shot Classification Base xlm_roberta_base_zero_shot_classifier_xnli_anli_mnli_snli
+author: John Snow Labs
+name: xlm_roberta_base_zero_shot_classifier_xnli_anli_mnli_snli
+date: 2024-09-18
+tags: [token_classification, xlm_roberta, openvino, xx, open_source]
+task: Zero-Shot Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: openvino
+annotator: XlmRoBertaForZeroShotClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+“
+
+This model is intended to be used for zero-shot text classification, especially in English. It is fine-tuned on NLI by using XlmRoberta Large model.
+
+XlmRoBertaForZeroShotClassificationusing a ModelForSequenceClassification trained on NLI (natural language inference) tasks. Equivalent of TFXLMRoBertaForZeroShotClassification models, but these models don’t require a hardcoded number of potential classes, they can be chosen at runtime. It usually means it’s slower but it is much more flexible.
+
+We used TFXLMRobertaForSequenceClassification to train this model and used XlmRoBertaForZeroShotClassification annotator in Spark NLP 🚀 for prediction at scale!
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_zero_shot_classifier_xnli_anli_mnli_snli_xx_5.5.0_3.0_1726659257571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_zero_shot_classifier_xnli_anli_mnli_snli_xx_5.5.0_3.0_1726659257571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+ document_assembler = DocumentAssembler() \
+.setInputCol('text') \
+.setOutputCol('document')
+
+tokenizer = Tokenizer() \
+.setInputCols(['document']) \
+.setOutputCol('token')
+
+zeroShotClassifier = XlmRobertaForSequenceClassification \
+.pretrained('xlm_roberta_base_zero_shot_classifier_xnli_anli_mnli_snli', 'xx') \
+.setInputCols(['token', 'document']) \
+.setOutputCol('class') \
+.setCaseSensitive(True) \
+.setMaxSentenceLength(512) \
+.setCandidateLabels(["urgent", "mobile", "travel", "movie", "music", "sport", "weather", "technology"])
+
+pipeline = Pipeline(stages=[
+document_assembler,
+tokenizer,
+zeroShotClassifier
+])
+
+example = spark.createDataFrame([['I have a problem with my iphone that needs to be resolved asap!!']]).toDF("text")
+result = pipeline.fit(example).transform(example)
+
+```
+```scala
+
+val document_assembler = DocumentAssembler()
+.setInputCol("text")
+.setOutputCol("document")
+
+val tokenizer = Tokenizer()
+.setInputCols("document")
+.setOutputCol("token")
+
+val zeroShotClassifier = XlmRobertaForSequenceClassification.pretrained("xlm_roberta_base_zero_shot_classifier_xnli_anli_mnli_snli", "xx")
+.setInputCols("document", "token")
+.setOutputCol("class")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+.setCandidateLabels(Array("urgent", "mobile", "travel", "movie", "music", "sport", "weather", "technology"))
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, tokenizer, zeroShotClassifier))
+val example = Seq("I have a problem with my iphone that needs to be resolved asap!!").toDS.toDF("text")
+val result = pipeline.fit(example).transform(example)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_zero_shot_classifier_xnli_anli_mnli_snli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[token, document]|
+|Output Labels:|[label]|
+|Language:|xx|
+|Size:|900.0 MB|
+|Case sensitive:|true|
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlmr_base_finetuned_igbo_2e_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlmr_base_finetuned_igbo_2e_4_pipeline_en.md
new file mode 100644
index 00000000000000..8a96d87a356e29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlmr_base_finetuned_igbo_2e_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlmr_base_finetuned_igbo_2e_4_pipeline pipeline XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: xlmr_base_finetuned_igbo_2e_4_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_base_finetuned_igbo_2e_4_pipeline` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_base_finetuned_igbo_2e_4_pipeline_en_5.5.0_3.0_1726663592733.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_base_finetuned_igbo_2e_4_pipeline_en_5.5.0_3.0_1726663592733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmr_base_finetuned_igbo_2e_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmr_base_finetuned_igbo_2e_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_base_finetuned_igbo_2e_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|865.0 MB|
+
+## References
+
+https://huggingface.co/grace-pro/xlmr-base-finetuned-igbo-2e-4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlmr_base_trained_conll2002_english_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlmr_base_trained_conll2002_english_en.md
new file mode 100644
index 00000000000000..ce657dd27f79b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlmr_base_trained_conll2002_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_base_trained_conll2002_english XlmRoBertaForTokenClassification from DeepaPeri
+author: John Snow Labs
+name: xlmr_base_trained_conll2002_english
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_base_trained_conll2002_english` is a English model originally trained by DeepaPeri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_base_trained_conll2002_english_en_5.5.0_3.0_1726656852413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_base_trained_conll2002_english_en_5.5.0_3.0_1726656852413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_base_trained_conll2002_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|792.1 MB|
+
+## References
+
+https://huggingface.co/DeepaPeri/XLMR-BASE-TRAINED-CONLL2002-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlmr_nepali_english_norwegian_shuffled_orig_test1000_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlmr_nepali_english_norwegian_shuffled_orig_test1000_en.md
new file mode 100644
index 00000000000000..22628ac0c856c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlmr_nepali_english_norwegian_shuffled_orig_test1000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_nepali_english_norwegian_shuffled_orig_test1000 XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_nepali_english_norwegian_shuffled_orig_test1000
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_nepali_english_norwegian_shuffled_orig_test1000` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_nepali_english_norwegian_shuffled_orig_test1000_en_5.5.0_3.0_1726660031400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_nepali_english_norwegian_shuffled_orig_test1000_en_5.5.0_3.0_1726660031400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_nepali_english_norwegian_shuffled_orig_test1000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|819.8 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-ne-en-no_shuffled-orig-test1000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlmrobertanews_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlmrobertanews_en.md
new file mode 100644
index 00000000000000..35116eaf3716d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlmrobertanews_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmrobertanews XlmRoBertaForSequenceClassification from oe2015
+author: John Snow Labs
+name: xlmrobertanews
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmrobertanews` is a English model originally trained by oe2015.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmrobertanews_en_5.5.0_3.0_1726697982106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmrobertanews_en_5.5.0_3.0_1726697982106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmrobertanews|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|828.9 MB|
+
+## References
+
+https://huggingface.co/oe2015/XLMRobertaNews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xnli_xlm_r_only_chinese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xnli_xlm_r_only_chinese_pipeline_en.md
new file mode 100644
index 00000000000000..e9f6e69ba397d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xnli_xlm_r_only_chinese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xnli_xlm_r_only_chinese_pipeline pipeline XlmRoBertaForSequenceClassification from semindan
+author: John Snow Labs
+name: xnli_xlm_r_only_chinese_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xnli_xlm_r_only_chinese_pipeline` is a English model originally trained by semindan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_chinese_pipeline_en_5.5.0_3.0_1726633084035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_chinese_pipeline_en_5.5.0_3.0_1726633084035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xnli_xlm_r_only_chinese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xnli_xlm_r_only_chinese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xnli_xlm_r_only_chinese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|807.1 MB|
+
+## References
+
+https://huggingface.co/semindan/xnli_xlm_r_only_zh
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-4_datasets_fake_news_with_balanced_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-4_datasets_fake_news_with_balanced_5_pipeline_en.md
new file mode 100644
index 00000000000000..1f90a4d816adc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-4_datasets_fake_news_with_balanced_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 4_datasets_fake_news_with_balanced_5_pipeline pipeline DistilBertForSequenceClassification from littlepinhorse
+author: John Snow Labs
+name: 4_datasets_fake_news_with_balanced_5_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`4_datasets_fake_news_with_balanced_5_pipeline` is a English model originally trained by littlepinhorse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/4_datasets_fake_news_with_balanced_5_pipeline_en_5.5.0_3.0_1726744064435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/4_datasets_fake_news_with_balanced_5_pipeline_en_5.5.0_3.0_1726744064435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("4_datasets_fake_news_with_balanced_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("4_datasets_fake_news_with_balanced_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|4_datasets_fake_news_with_balanced_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/littlepinhorse/4_datasets_fake_news_with_balanced_5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-abstractclassifier_en.md b/docs/_posts/ahmedlone127/2024-09-19-abstractclassifier_en.md
new file mode 100644
index 00000000000000..197c9b1e353f90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-abstractclassifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English abstractclassifier DistilBertForSequenceClassification from abehandlerorg
+author: John Snow Labs
+name: abstractclassifier
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`abstractclassifier` is a English model originally trained by abehandlerorg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/abstractclassifier_en_5.5.0_3.0_1726764031479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/abstractclassifier_en_5.5.0_3.0_1726764031479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|abstractclassifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abehandlerorg/abstractclassifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-abstractclassifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-abstractclassifier_pipeline_en.md
new file mode 100644
index 00000000000000..f204ca8e03b6e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-abstractclassifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English abstractclassifier_pipeline pipeline DistilBertForSequenceClassification from abehandlerorg
+author: John Snow Labs
+name: abstractclassifier_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`abstractclassifier_pipeline` is a English model originally trained by abehandlerorg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/abstractclassifier_pipeline_en_5.5.0_3.0_1726764044204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/abstractclassifier_pipeline_en_5.5.0_3.0_1726764044204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("abstractclassifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("abstractclassifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|abstractclassifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abehandlerorg/abstractclassifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-alberta_base_nbolton04_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-alberta_base_nbolton04_pipeline_en.md
new file mode 100644
index 00000000000000..b968bb82452d1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-alberta_base_nbolton04_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English alberta_base_nbolton04_pipeline pipeline RoBertaForSequenceClassification from nbolton04
+author: John Snow Labs
+name: alberta_base_nbolton04_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`alberta_base_nbolton04_pipeline` is a English model originally trained by nbolton04.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alberta_base_nbolton04_pipeline_en_5.5.0_3.0_1726726474074.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alberta_base_nbolton04_pipeline_en_5.5.0_3.0_1726726474074.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("alberta_base_nbolton04_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("alberta_base_nbolton04_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alberta_base_nbolton04_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|441.7 MB|
+
+## References
+
+https://huggingface.co/nbolton04/alberta_base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-all_roberta_large_v1_work_9_16_5_en.md b/docs/_posts/ahmedlone127/2024-09-19-all_roberta_large_v1_work_9_16_5_en.md
new file mode 100644
index 00000000000000..5de85d51428477
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-all_roberta_large_v1_work_9_16_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_work_9_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_work_9_16_5
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_work_9_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_work_9_16_5_en_5.5.0_3.0_1726726553874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_work_9_16_5_en_5.5.0_3.0_1726726553874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arbovirus_bert_base_dylr_1e_5_n_10_bosnian_32|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/mmcleige/arbovirus_bert_base_DYLR.1e-5_N.10_BS.32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-article_sentiment_analysis_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-article_sentiment_analysis_model_pipeline_en.md
new file mode 100644
index 00000000000000..ecb349b6684d7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-article_sentiment_analysis_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English article_sentiment_analysis_model_pipeline pipeline DistilBertForSequenceClassification from jfr139
+author: John Snow Labs
+name: article_sentiment_analysis_model_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`article_sentiment_analysis_model_pipeline` is a English model originally trained by jfr139.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/article_sentiment_analysis_model_pipeline_en_5.5.0_3.0_1726763738024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/article_sentiment_analysis_model_pipeline_en_5.5.0_3.0_1726763738024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("article_sentiment_analysis_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("article_sentiment_analysis_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|article_sentiment_analysis_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jfr139/article-sentiment-analysis-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-babylm_jde_5_en.md b/docs/_posts/ahmedlone127/2024-09-19-babylm_jde_5_en.md
new file mode 100644
index 00000000000000..bac0b38c4a583f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-babylm_jde_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English babylm_jde_5 RoBertaEmbeddings from jdebene
+author: John Snow Labs
+name: babylm_jde_5
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babylm_jde_5` is a English model originally trained by jdebene.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babylm_jde_5_en_5.5.0_3.0_1726778195830.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babylm_jde_5_en_5.5.0_3.0_1726778195830.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babylm_jde_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|257.5 MB|
+
+## References
+
+https://huggingface.co/jdebene/BabyLM-jde-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-babylm_jde_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-babylm_jde_5_pipeline_en.md
new file mode 100644
index 00000000000000..c4c98112f33ca3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-babylm_jde_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English babylm_jde_5_pipeline pipeline RoBertaEmbeddings from jdebene
+author: John Snow Labs
+name: babylm_jde_5_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babylm_jde_5_pipeline` is a English model originally trained by jdebene.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babylm_jde_5_pipeline_en_5.5.0_3.0_1726778208447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babylm_jde_5_pipeline_en_5.5.0_3.0_1726778208447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babylm_jde_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babylm_jde_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babylm_jde_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|257.6 MB|
+
+## References
+
+https://huggingface.co/jdebene/BabyLM-jde-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bailii_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bailii_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..19296991e7fa15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bailii_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bailii_roberta_pipeline pipeline RoBertaEmbeddings from tsantosh7
+author: John Snow Labs
+name: bailii_roberta_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bailii_roberta_pipeline` is a English model originally trained by tsantosh7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bailii_roberta_pipeline_en_5.5.0_3.0_1726747892086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bailii_roberta_pipeline_en_5.5.0_3.0_1726747892086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bailii_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bailii_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bailii_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/tsantosh7/Bailii-Roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-base_english_combined_v4_1_0_8_1e_06_restful_sweep_5_en.md b/docs/_posts/ahmedlone127/2024-09-19-base_english_combined_v4_1_0_8_1e_06_restful_sweep_5_en.md
new file mode 100644
index 00000000000000..f3d8bdd1b31a1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-base_english_combined_v4_1_0_8_1e_06_restful_sweep_5_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English base_english_combined_v4_1_0_8_1e_06_restful_sweep_5 WhisperForCTC from saahith
+author: John Snow Labs
+name: base_english_combined_v4_1_0_8_1e_06_restful_sweep_5
+date: 2024-09-19
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`base_english_combined_v4_1_0_8_1e_06_restful_sweep_5` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_english_combined_v4_1_0_8_1e_06_restful_sweep_5_en_5.5.0_3.0_1726758374750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_english_combined_v4_1_0_8_1e_06_restful_sweep_5_en_5.5.0_3.0_1726758374750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_english_combined_v4_1_0_8_1e_06_restful_sweep_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|646.1 MB|
+
+## References
+
+https://huggingface.co/saahith/base.en-combined_v4-1-0-8-1e-06-restful-sweep-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_cased_mlm_chemistry_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_cased_mlm_chemistry_en.md
new file mode 100644
index 00000000000000..2e5de951c8662e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_cased_mlm_chemistry_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_mlm_chemistry BertEmbeddings from jonas-luehrs
+author: John Snow Labs
+name: bert_base_cased_mlm_chemistry
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_mlm_chemistry` is a English model originally trained by jonas-luehrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_mlm_chemistry_en_5.5.0_3.0_1726744568016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_mlm_chemistry_en_5.5.0_3.0_1726744568016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_mlm_chemistry|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/jonas-luehrs/bert-base-cased-MLM-chemistry
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_cased_mlm_chemistry_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_cased_mlm_chemistry_pipeline_en.md
new file mode 100644
index 00000000000000..650e8e6511dbdd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_cased_mlm_chemistry_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_mlm_chemistry_pipeline pipeline BertEmbeddings from jonas-luehrs
+author: John Snow Labs
+name: bert_base_cased_mlm_chemistry_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_mlm_chemistry_pipeline` is a English model originally trained by jonas-luehrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_mlm_chemistry_pipeline_en_5.5.0_3.0_1726744587675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_mlm_chemistry_pipeline_en_5.5.0_3.0_1726744587675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_mlm_chemistry_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_mlm_chemistry_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_mlm_chemistry_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/jonas-luehrs/bert-base-cased-MLM-chemistry
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_1802_r1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_1802_r1_pipeline_en.md
new file mode 100644
index 00000000000000..ad57abdd7c8f12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_1802_r1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_1802_r1_pipeline pipeline BertEmbeddings from JamesKim
+author: John Snow Labs
+name: bert_base_uncased_1802_r1_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_1802_r1_pipeline` is a English model originally trained by JamesKim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_1802_r1_pipeline_en_5.5.0_3.0_1726744760610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_1802_r1_pipeline_en_5.5.0_3.0_1726744760610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_1802_r1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_1802_r1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_1802_r1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/JamesKim/bert-base-uncased_1802_r1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_ear_misogyny_italian_it.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_ear_misogyny_italian_it.md
new file mode 100644
index 00000000000000..432fa65b1da855
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_ear_misogyny_italian_it.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Italian bert_base_uncased_ear_misogyny_italian BertForSequenceClassification from MilaNLProc
+author: John Snow Labs
+name: bert_base_uncased_ear_misogyny_italian
+date: 2024-09-19
+tags: [it, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ear_misogyny_italian` is a Italian model originally trained by MilaNLProc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ear_misogyny_italian_it_5.5.0_3.0_1726736444083.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ear_misogyny_italian_it_5.5.0_3.0_1726736444083.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ear_misogyny_italian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/MilaNLProc/bert-base-uncased-ear-misogyny-italian
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_ear_misogyny_italian_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_ear_misogyny_italian_pipeline_it.md
new file mode 100644
index 00000000000000..d696ce5b9abb4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_ear_misogyny_italian_pipeline_it.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Italian bert_base_uncased_ear_misogyny_italian_pipeline pipeline BertForSequenceClassification from MilaNLProc
+author: John Snow Labs
+name: bert_base_uncased_ear_misogyny_italian_pipeline
+date: 2024-09-19
+tags: [it, open_source, pipeline, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ear_misogyny_italian_pipeline` is a Italian model originally trained by MilaNLProc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ear_misogyny_italian_pipeline_it_5.5.0_3.0_1726736465190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ear_misogyny_italian_pipeline_it_5.5.0_3.0_1726736465190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ear_misogyny_italian_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ear_misogyny_italian_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ear_misogyny_italian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/MilaNLProc/bert-base-uncased-ear-misogyny-italian
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_finetuned_news_1973_1974_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_finetuned_news_1973_1974_en.md
new file mode 100644
index 00000000000000..6e6063b66ff2c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_finetuned_news_1973_1974_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_news_1973_1974 BertEmbeddings from sally9805
+author: John Snow Labs
+name: bert_base_uncased_finetuned_news_1973_1974
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_news_1973_1974` is a English model originally trained by sally9805.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_news_1973_1974_en_5.5.0_3.0_1726734597497.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_news_1973_1974_en_5.5.0_3.0_1726734597497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_news_2010_2015|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/sally9805/bert-base-uncased-finetuned-news-2010-2015
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_finetuned_news_2010_2015_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_finetuned_news_2010_2015_pipeline_en.md
new file mode 100644
index 00000000000000..79abacacdc4366
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_finetuned_news_2010_2015_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_news_2010_2015_pipeline pipeline BertEmbeddings from sally9805
+author: John Snow Labs
+name: bert_base_uncased_finetuned_news_2010_2015_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_news_2010_2015_pipeline` is a English model originally trained by sally9805.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_news_2010_2015_pipeline_en_5.5.0_3.0_1726717771103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_news_2010_2015_pipeline_en_5.5.0_3.0_1726717771103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_news_2010_2015_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_news_2010_2015_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_news_2010_2015_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/sally9805/bert-base-uncased-finetuned-news-2010-2015
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_finetuned_squad_sonalh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_finetuned_squad_sonalh_pipeline_en.md
new file mode 100644
index 00000000000000..9dd71f62af5279
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_finetuned_squad_sonalh_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_squad_sonalh_pipeline pipeline BertForQuestionAnswering from SonalH
+author: John Snow Labs
+name: bert_base_uncased_finetuned_squad_sonalh_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_squad_sonalh_pipeline` is a English model originally trained by SonalH.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_squad_sonalh_pipeline_en_5.5.0_3.0_1726765289608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_squad_sonalh_pipeline_en_5.5.0_3.0_1726765289608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_squad_sonalh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_squad_sonalh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_squad_sonalh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/SonalH/bert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_git_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_git_pipeline_zh.md
new file mode 100644
index 00000000000000..0ba47970a1f032
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_git_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese bert_base_uncased_git_pipeline pipeline BertEmbeddings from littlebird13
+author: John Snow Labs
+name: bert_base_uncased_git_pipeline
+date: 2024-09-19
+tags: [zh, open_source, pipeline, onnx]
+task: Embeddings
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_git_pipeline` is a Chinese model originally trained by littlebird13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_git_pipeline_zh_5.5.0_3.0_1726717457999.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_git_pipeline_zh_5.5.0_3.0_1726717457999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_git_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_git_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_git_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/littlebird13/bert-base-uncased-git
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_sclarge_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_sclarge_pipeline_en.md
new file mode 100644
index 00000000000000..b30902bd95a693
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_base_uncased_sclarge_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_sclarge_pipeline pipeline BertEmbeddings from CambridgeMolecularEngineering
+author: John Snow Labs
+name: bert_base_uncased_sclarge_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sclarge_pipeline` is a English model originally trained by CambridgeMolecularEngineering.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sclarge_pipeline_en_5.5.0_3.0_1726734705697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sclarge_pipeline_en_5.5.0_3.0_1726734705697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_sclarge_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_sclarge_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sclarge_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/CambridgeMolecularEngineering/bert-base-uncased-sclarge
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_covid_emotion_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_covid_emotion_classifier_en.md
new file mode 100644
index 00000000000000..aff9855fdda32b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_covid_emotion_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_covid_emotion_classifier DistilBertForSequenceClassification from PFraud
+author: John Snow Labs
+name: bert_covid_emotion_classifier
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_covid_emotion_classifier` is a English model originally trained by PFraud.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_covid_emotion_classifier_en_5.5.0_3.0_1726763667918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_covid_emotion_classifier_en_5.5.0_3.0_1726763667918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_covid_emotion_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/PFraud/BERT_Covid_Emotion_Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_covid_emotion_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_covid_emotion_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..34e819c5323871
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_covid_emotion_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_covid_emotion_classifier_pipeline pipeline DistilBertForSequenceClassification from PFraud
+author: John Snow Labs
+name: bert_covid_emotion_classifier_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_covid_emotion_classifier_pipeline` is a English model originally trained by PFraud.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_covid_emotion_classifier_pipeline_en_5.5.0_3.0_1726763680343.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_covid_emotion_classifier_pipeline_en_5.5.0_3.0_1726763680343.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_covid_emotion_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_covid_emotion_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_covid_emotion_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/PFraud/BERT_Covid_Emotion_Classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_finetuned_ner4_ikram11_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_finetuned_ner4_ikram11_pipeline_en.md
new file mode 100644
index 00000000000000..27e2062941eee1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_finetuned_ner4_ikram11_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner4_ikram11_pipeline pipeline BertForTokenClassification from Ikram11
+author: John Snow Labs
+name: bert_finetuned_ner4_ikram11_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner4_ikram11_pipeline` is a English model originally trained by Ikram11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner4_ikram11_pipeline_en_5.5.0_3.0_1726774375006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner4_ikram11_pipeline_en_5.5.0_3.0_1726774375006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner4_ikram11_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner4_ikram11_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner4_ikram11_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Ikram11/bert-finetuned-ner4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_finetuned_squad_ashaduzzaman_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_finetuned_squad_ashaduzzaman_en.md
new file mode 100644
index 00000000000000..efd9e23e506ed5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_finetuned_squad_ashaduzzaman_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_finetuned_squad_ashaduzzaman BertForQuestionAnswering from ashaduzzaman
+author: John Snow Labs
+name: bert_finetuned_squad_ashaduzzaman
+date: 2024-09-19
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_squad_ashaduzzaman` is a English model originally trained by ashaduzzaman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_ashaduzzaman_en_5.5.0_3.0_1726765858826.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_ashaduzzaman_en_5.5.0_3.0_1726765858826.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_question_answering_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/MattBoraske/BERT-question-answering-SQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_sxie3333_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_sxie3333_en.md
new file mode 100644
index 00000000000000..5ec856ff3d40ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_sxie3333_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sxie3333 BertForSequenceClassification from sxie3333
+author: John Snow Labs
+name: bert_sxie3333
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sxie3333` is a English model originally trained by sxie3333.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sxie3333_en_5.5.0_3.0_1726706948659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sxie3333_en_5.5.0_3.0_1726706948659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sxie3333|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/sxie3333/BERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_two_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_two_pipeline_en.md
new file mode 100644
index 00000000000000..b9b988bd70cedb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_two_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_two_pipeline pipeline BertEmbeddings from emma7897
+author: John Snow Labs
+name: bert_two_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_two_pipeline` is a English model originally trained by emma7897.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_two_pipeline_en_5.5.0_3.0_1726744603574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_two_pipeline_en_5.5.0_3.0_1726744603574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_two_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_two_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_two_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/emma7897/bert_two
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_en.md
new file mode 100644
index 00000000000000..12be4708c19ee5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_en_5.5.0_3.0_1726719240069.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_en_5.5.0_3.0_1726719240069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/BERT_vllm-gemma2b-llmOversight-1.0-noDropSus_13
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_pipeline_en.md
new file mode 100644
index 00000000000000..0f2cc241aa5c8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_pipeline_en_5.5.0_3.0_1726719252584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_pipeline_en_5.5.0_3.0_1726719252584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_vllm_gemma2b_llmoversight_1_0_nodropsus_13_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/BERT_vllm-gemma2b-llmOversight-1.0-noDropSus_13
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bert_vllm_gemma2b_stringmatcher_newdataset_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bert_vllm_gemma2b_stringmatcher_newdataset_2_pipeline_en.md
new file mode 100644
index 00000000000000..2b3297e1812e20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bert_vllm_gemma2b_stringmatcher_newdataset_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_vllm_gemma2b_stringmatcher_newdataset_2_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: bert_vllm_gemma2b_stringmatcher_newdataset_2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_vllm_gemma2b_stringmatcher_newdataset_2_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_stringmatcher_newdataset_2_pipeline_en_5.5.0_3.0_1726763576248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_stringmatcher_newdataset_2_pipeline_en_5.5.0_3.0_1726763576248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_vllm_gemma2b_stringmatcher_newdataset_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_vllm_gemma2b_stringmatcher_newdataset_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_vllm_gemma2b_stringmatcher_newdataset_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/BERT_vllm-gemma2b-stringMatcher-newDataset_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bfsee_en.md b/docs/_posts/ahmedlone127/2024-09-19-bfsee_en.md
new file mode 100644
index 00000000000000..4705369c130abf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bfsee_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bfsee DistilBertForSequenceClassification from talktojustintoday
+author: John Snow Labs
+name: bfsee
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bfsee` is a English model originally trained by talktojustintoday.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bfsee_en_5.5.0_3.0_1726763878963.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bfsee_en_5.5.0_3.0_1726763878963.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_large_eedi_2024|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[bge]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Gurveer05/bge-large-eedi-2024
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bge_large_repmus_matryoshka_en.md b/docs/_posts/ahmedlone127/2024-09-19-bge_large_repmus_matryoshka_en.md
new file mode 100644
index 00000000000000..96607e5804accb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bge_large_repmus_matryoshka_en.md
@@ -0,0 +1,87 @@
+---
+layout: model
+title: English bge_large_repmus_matryoshka BGEEmbeddings from tessimago
+author: John Snow Labs
+name: bge_large_repmus_matryoshka
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, bge]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BGEEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_large_repmus_matryoshka` is a English model originally trained by tessimago.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_large_repmus_matryoshka_en_5.5.0_3.0_1726720225267.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_large_repmus_matryoshka_en_5.5.0_3.0_1726720225267.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bluebert_pubmed_mimic_uncased_l_12_h_768_a_12_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/rsml/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-brwac_v1_3__checkpoint4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-brwac_v1_3__checkpoint4_pipeline_en.md
new file mode 100644
index 00000000000000..d6f260e939284b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-brwac_v1_3__checkpoint4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English brwac_v1_3__checkpoint4_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: brwac_v1_3__checkpoint4_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`brwac_v1_3__checkpoint4_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/brwac_v1_3__checkpoint4_pipeline_en_5.5.0_3.0_1726747119424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/brwac_v1_3__checkpoint4_pipeline_en_5.5.0_3.0_1726747119424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("brwac_v1_3__checkpoint4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("brwac_v1_3__checkpoint4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|brwac_v1_3__checkpoint4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|298.7 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/brwac_v1_3__checkpoint4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-bsc_bio_ehr_spanish_symptemist_fasttext_9_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-bsc_bio_ehr_spanish_symptemist_fasttext_9_ner_pipeline_en.md
new file mode 100644
index 00000000000000..7a825b8db7f15d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-bsc_bio_ehr_spanish_symptemist_fasttext_9_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bsc_bio_ehr_spanish_symptemist_fasttext_9_ner_pipeline pipeline RoBertaForTokenClassification from Rodrigo1771
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_symptemist_fasttext_9_ner_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_symptemist_fasttext_9_ner_pipeline` is a English model originally trained by Rodrigo1771.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_symptemist_fasttext_9_ner_pipeline_en_5.5.0_3.0_1726730279214.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_symptemist_fasttext_9_ner_pipeline_en_5.5.0_3.0_1726730279214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bsc_bio_ehr_spanish_symptemist_fasttext_9_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bsc_bio_ehr_spanish_symptemist_fasttext_9_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_symptemist_fasttext_9_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|434.9 MB|
+
+## References
+
+https://huggingface.co/Rodrigo1771/bsc-bio-ehr-es-symptemist-fasttext-9-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_bazgha_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_bazgha_pipeline_en.md
new file mode 100644
index 00000000000000..ab0afb8b2ecf27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_bazgha_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_bazgha_pipeline pipeline DistilBertForSequenceClassification from bazgha
+author: John Snow Labs
+name: burmese_awesome_model_bazgha_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_bazgha_pipeline` is a English model originally trained by bazgha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_bazgha_pipeline_en_5.5.0_3.0_1726742614799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_bazgha_pipeline_en_5.5.0_3.0_1726742614799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_bazgha_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_bazgha_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_bazgha_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bazgha/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_fold_5_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_fold_5_en.md
new file mode 100644
index 00000000000000..46f2ae4ce9b1b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_fold_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_fold_5 DistilBertForSequenceClassification from Thebisso09
+author: John Snow Labs
+name: burmese_awesome_model_fold_5
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_fold_5` is a English model originally trained by Thebisso09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_fold_5_en_5.5.0_3.0_1726763700122.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_fold_5_en_5.5.0_3.0_1726763700122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_fold_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Thebisso09/my_awesome_model_fold_5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_highcodger10_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_highcodger10_en.md
new file mode 100644
index 00000000000000..21daa670b0049d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_highcodger10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_highcodger10 DistilBertForSequenceClassification from highcodger10
+author: John Snow Labs
+name: burmese_awesome_model_highcodger10
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_highcodger10` is a English model originally trained by highcodger10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_highcodger10_en_5.5.0_3.0_1726704791725.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_highcodger10_en_5.5.0_3.0_1726704791725.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_highcodger10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/highcodger10/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_jacobmakar_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_jacobmakar_en.md
new file mode 100644
index 00000000000000..20ada008bc5518
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_jacobmakar_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_jacobmakar DistilBertForSequenceClassification from jacobmakar
+author: John Snow Labs
+name: burmese_awesome_model_jacobmakar
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jacobmakar` is a English model originally trained by jacobmakar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jacobmakar_en_5.5.0_3.0_1726704483168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jacobmakar_en_5.5.0_3.0_1726704483168.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_jacobmakar|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jacobmakar/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_kiliemah_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_kiliemah_pipeline_en.md
new file mode 100644
index 00000000000000..b514defbafbfdb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_kiliemah_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_kiliemah_pipeline pipeline DistilBertForSequenceClassification from Kiliemah
+author: John Snow Labs
+name: burmese_awesome_model_kiliemah_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_kiliemah_pipeline` is a English model originally trained by Kiliemah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_kiliemah_pipeline_en_5.5.0_3.0_1726763361299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_kiliemah_pipeline_en_5.5.0_3.0_1726763361299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_kiliemah_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_kiliemah_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_kiliemah_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kiliemah/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_lxl2023_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_lxl2023_pipeline_en.md
new file mode 100644
index 00000000000000..d2983b22f66d87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_lxl2023_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_lxl2023_pipeline pipeline DistilBertForSequenceClassification from lxl2023
+author: John Snow Labs
+name: burmese_awesome_model_lxl2023_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_lxl2023_pipeline` is a English model originally trained by lxl2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_lxl2023_pipeline_en_5.5.0_3.0_1726743091921.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_lxl2023_pipeline_en_5.5.0_3.0_1726743091921.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_lxl2023_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_lxl2023_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_lxl2023_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lxl2023/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_philgrey_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_philgrey_pipeline_en.md
new file mode 100644
index 00000000000000..25d91849731c92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_philgrey_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_philgrey_pipeline pipeline DistilBertForSequenceClassification from philgrey
+author: John Snow Labs
+name: burmese_awesome_model_philgrey_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_philgrey_pipeline` is a English model originally trained by philgrey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_philgrey_pipeline_en_5.5.0_3.0_1726741028275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_philgrey_pipeline_en_5.5.0_3.0_1726741028275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_philgrey_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_philgrey_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_philgrey_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/philgrey/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_thomas628_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_thomas628_en.md
new file mode 100644
index 00000000000000..5cedafb8615607
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_thomas628_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_thomas628 DistilBertForSequenceClassification from thomas628
+author: John Snow Labs
+name: burmese_awesome_model_thomas628
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_thomas628` is a English model originally trained by thomas628.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thomas628_en_5.5.0_3.0_1726719495480.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thomas628_en_5.5.0_3.0_1726719495480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_thomas628|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thomas628/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_thomas628_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_thomas628_pipeline_en.md
new file mode 100644
index 00000000000000..4df803f16361fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_model_thomas628_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_thomas628_pipeline pipeline DistilBertForSequenceClassification from thomas628
+author: John Snow Labs
+name: burmese_awesome_model_thomas628_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_thomas628_pipeline` is a English model originally trained by thomas628.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thomas628_pipeline_en_5.5.0_3.0_1726719507847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thomas628_pipeline_en_5.5.0_3.0_1726719507847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_thomas628_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_thomas628_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_thomas628_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thomas628/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_qa_model_colabdash_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_qa_model_colabdash_en.md
new file mode 100644
index 00000000000000..d4c25e11bf2b61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_qa_model_colabdash_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_colabdash DistilBertForQuestionAnswering from colabdash
+author: John Snow Labs
+name: burmese_awesome_qa_model_colabdash
+date: 2024-09-19
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_colabdash` is a English model originally trained by colabdash.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_colabdash_en_5.5.0_3.0_1726727741660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_colabdash_en_5.5.0_3.0_1726727741660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_colabdash|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/colabdash/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_qa_model_torchat_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_qa_model_torchat_pipeline_en.md
new file mode 100644
index 00000000000000..5fc05a50eff80d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_awesome_qa_model_torchat_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_torchat_pipeline pipeline DistilBertForQuestionAnswering from torchat
+author: John Snow Labs
+name: burmese_awesome_qa_model_torchat_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_torchat_pipeline` is a English model originally trained by torchat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_torchat_pipeline_en_5.5.0_3.0_1726785835301.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_torchat_pipeline_en_5.5.0_3.0_1726785835301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model_torchat_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_torchat_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_torchat_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/torchat/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-burmese_distilbert_imdb_en.md b/docs/_posts/ahmedlone127/2024-09-19-burmese_distilbert_imdb_en.md
new file mode 100644
index 00000000000000..9c8f499862aa85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-burmese_distilbert_imdb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_distilbert_imdb DistilBertForSequenceClassification from nnhwin
+author: John Snow Labs
+name: burmese_distilbert_imdb
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_distilbert_imdb` is a English model originally trained by nnhwin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_distilbert_imdb_en_5.5.0_3.0_1726741088665.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_distilbert_imdb_en_5.5.0_3.0_1726741088665.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_distilbert_imdb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nnhwin/my-distilbert-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-cat_sayula_popoluca_iw_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-cat_sayula_popoluca_iw_3_pipeline_en.md
new file mode 100644
index 00000000000000..1decd9748f02ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-cat_sayula_popoluca_iw_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cat_sayula_popoluca_iw_3_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_sayula_popoluca_iw_3_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cat_sayula_popoluca_iw_3_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_iw_3_pipeline_en_5.5.0_3.0_1726710899674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_iw_3_pipeline_en_5.5.0_3.0_1726710899674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cat_sayula_popoluca_iw_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cat_sayula_popoluca_iw_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_sayula_popoluca_iw_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|424.4 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-pos-iw-3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-category_1_balanced_distilbert_base_uncased_v4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-category_1_balanced_distilbert_base_uncased_v4_pipeline_en.md
new file mode 100644
index 00000000000000..7293bde7e44f9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-category_1_balanced_distilbert_base_uncased_v4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English category_1_balanced_distilbert_base_uncased_v4_pipeline pipeline DistilBertForSequenceClassification from chuuhtetnaing
+author: John Snow Labs
+name: category_1_balanced_distilbert_base_uncased_v4_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`category_1_balanced_distilbert_base_uncased_v4_pipeline` is a English model originally trained by chuuhtetnaing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/category_1_balanced_distilbert_base_uncased_v4_pipeline_en_5.5.0_3.0_1726763462710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/category_1_balanced_distilbert_base_uncased_v4_pipeline_en_5.5.0_3.0_1726763462710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("category_1_balanced_distilbert_base_uncased_v4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("category_1_balanced_distilbert_base_uncased_v4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|category_1_balanced_distilbert_base_uncased_v4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chuuhtetnaing/category-1-balanced-distilbert-base-uncased-v4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-chinese_sentiment_analysis_fund_direction_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-19-chinese_sentiment_analysis_fund_direction_pipeline_zh.md
new file mode 100644
index 00000000000000..b0fb9cb7a7c8b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-chinese_sentiment_analysis_fund_direction_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese chinese_sentiment_analysis_fund_direction_pipeline pipeline BertForSequenceClassification from sanshizhang
+author: John Snow Labs
+name: chinese_sentiment_analysis_fund_direction_pipeline
+date: 2024-09-19
+tags: [zh, open_source, pipeline, onnx]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_sentiment_analysis_fund_direction_pipeline` is a Chinese model originally trained by sanshizhang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_sentiment_analysis_fund_direction_pipeline_zh_5.5.0_3.0_1726706970859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_sentiment_analysis_fund_direction_pipeline_zh_5.5.0_3.0_1726706970859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("chinese_sentiment_analysis_fund_direction_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("chinese_sentiment_analysis_fund_direction_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_sentiment_analysis_fund_direction_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/sanshizhang/Chinese-Sentiment-Analysis-Fund-Direction
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-chinese_sentiment_analysis_fund_direction_zh.md b/docs/_posts/ahmedlone127/2024-09-19-chinese_sentiment_analysis_fund_direction_zh.md
new file mode 100644
index 00000000000000..2ea2c2bf13578e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-chinese_sentiment_analysis_fund_direction_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese chinese_sentiment_analysis_fund_direction BertForSequenceClassification from sanshizhang
+author: John Snow Labs
+name: chinese_sentiment_analysis_fund_direction
+date: 2024-09-19
+tags: [zh, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_sentiment_analysis_fund_direction` is a Chinese model originally trained by sanshizhang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_sentiment_analysis_fund_direction_zh_5.5.0_3.0_1726706952776.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_sentiment_analysis_fund_direction_zh_5.5.0_3.0_1726706952776.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_sentiment_analysis_fund_direction|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/sanshizhang/Chinese-Sentiment-Analysis-Fund-Direction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-cino_base_v2_tusa_en.md b/docs/_posts/ahmedlone127/2024-09-19-cino_base_v2_tusa_en.md
new file mode 100644
index 00000000000000..5f23a699a47d17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-cino_base_v2_tusa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cino_base_v2_tusa XlmRoBertaForSequenceClassification from UTibetNLP
+author: John Snow Labs
+name: cino_base_v2_tusa
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cino_base_v2_tusa` is a English model originally trained by UTibetNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cino_base_v2_tusa_en_5.5.0_3.0_1726752070964.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cino_base_v2_tusa_en_5.5.0_3.0_1726752070964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cino_base_v2_tusa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|712.2 MB|
+
+## References
+
+https://huggingface.co/UTibetNLP/cino-base-v2_TUSA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-cino_base_v2_tusa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-cino_base_v2_tusa_pipeline_en.md
new file mode 100644
index 00000000000000..a0dcaeff6bf97e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-cino_base_v2_tusa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cino_base_v2_tusa_pipeline pipeline XlmRoBertaForSequenceClassification from UTibetNLP
+author: John Snow Labs
+name: cino_base_v2_tusa_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cino_base_v2_tusa_pipeline` is a English model originally trained by UTibetNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cino_base_v2_tusa_pipeline_en_5.5.0_3.0_1726752108920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cino_base_v2_tusa_pipeline_en_5.5.0_3.0_1726752108920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cino_base_v2_tusa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cino_base_v2_tusa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cino_base_v2_tusa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|712.2 MB|
+
+## References
+
+https://huggingface.co/UTibetNLP/cino-base-v2_TUSA
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-climatebert_rereranker_f_cf_ipcc_en.md b/docs/_posts/ahmedlone127/2024-09-19-climatebert_rereranker_f_cf_ipcc_en.md
new file mode 100644
index 00000000000000..415cc807f57538
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-climatebert_rereranker_f_cf_ipcc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English climatebert_rereranker_f_cf_ipcc RoBertaForSequenceClassification from iestynmullinor
+author: John Snow Labs
+name: climatebert_rereranker_f_cf_ipcc
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`climatebert_rereranker_f_cf_ipcc` is a English model originally trained by iestynmullinor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/climatebert_rereranker_f_cf_ipcc_en_5.5.0_3.0_1726726218620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/climatebert_rereranker_f_cf_ipcc_en_5.5.0_3.0_1726726218620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coha1880s|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|311.8 MB|
+
+## References
+
+https://huggingface.co/simonmun/COHA1880s
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-coha1880s_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-coha1880s_pipeline_en.md
new file mode 100644
index 00000000000000..75efa16542d781
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-coha1880s_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English coha1880s_pipeline pipeline RoBertaEmbeddings from simonmun
+author: John Snow Labs
+name: coha1880s_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`coha1880s_pipeline` is a English model originally trained by simonmun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/coha1880s_pipeline_en_5.5.0_3.0_1726778035696.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/coha1880s_pipeline_en_5.5.0_3.0_1726778035696.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("coha1880s_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("coha1880s_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coha1880s_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|311.9 MB|
+
+## References
+
+https://huggingface.co/simonmun/COHA1880s
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-common_voice_pipeline_lt.md b/docs/_posts/ahmedlone127/2024-09-19-common_voice_pipeline_lt.md
new file mode 100644
index 00000000000000..e84b5b5e79c24d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-common_voice_pipeline_lt.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Lithuanian common_voice_pipeline pipeline WhisperForCTC from Tomas1234
+author: John Snow Labs
+name: common_voice_pipeline
+date: 2024-09-19
+tags: [lt, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: lt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`common_voice_pipeline` is a Lithuanian model originally trained by Tomas1234.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/common_voice_pipeline_lt_5.5.0_3.0_1726757318113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/common_voice_pipeline_lt_5.5.0_3.0_1726757318113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("common_voice_pipeline", lang = "lt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("common_voice_pipeline", lang = "lt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|common_voice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|lt|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Tomas1234/common_voice
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-conflibert_scr_cased_en.md b/docs/_posts/ahmedlone127/2024-09-19-conflibert_scr_cased_en.md
new file mode 100644
index 00000000000000..e5c18954f97527
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-conflibert_scr_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English conflibert_scr_cased BertEmbeddings from snowood1
+author: John Snow Labs
+name: conflibert_scr_cased
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`conflibert_scr_cased` is a English model originally trained by snowood1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/conflibert_scr_cased_en_5.5.0_3.0_1726717422367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/conflibert_scr_cased_en_5.5.0_3.0_1726717422367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cv9_special_batch8_lr6_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|id|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/TheRains/cv9-special-batch8-lr6-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-czech_roberta_base_1_en.md b/docs/_posts/ahmedlone127/2024-09-19-czech_roberta_base_1_en.md
new file mode 100644
index 00000000000000..20234b242478ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-czech_roberta_base_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English czech_roberta_base_1 RoBertaForSequenceClassification from Adammz
+author: John Snow Labs
+name: czech_roberta_base_1
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`czech_roberta_base_1` is a English model originally trained by Adammz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/czech_roberta_base_1_en_5.5.0_3.0_1726732618776.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/czech_roberta_base_1_en_5.5.0_3.0_1726732618776.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|defsent_roberta_base_cls|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|413.1 MB|
+
+## References
+
+https://huggingface.co/cl-nagoya/defsent-roberta-base-cls
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-depress_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-19-depress_roberta_en.md
new file mode 100644
index 00000000000000..b4cb61d8301075
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-depress_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English depress_roberta RoBertaForSequenceClassification from tiya1012
+author: John Snow Labs
+name: depress_roberta
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`depress_roberta` is a English model originally trained by tiya1012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/depress_roberta_en_5.5.0_3.0_1726733555154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/depress_roberta_en_5.5.0_3.0_1726733555154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|depress_roberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tiya1012/depress_roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-depress_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-depress_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..2eb5e20f3e3572
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-depress_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English depress_roberta_pipeline pipeline RoBertaForSequenceClassification from tiya1012
+author: John Snow Labs
+name: depress_roberta_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`depress_roberta_pipeline` is a English model originally trained by tiya1012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/depress_roberta_pipeline_en_5.5.0_3.0_1726733577673.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/depress_roberta_pipeline_en_5.5.0_3.0_1726733577673.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("depress_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("depress_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|depress_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tiya1012/depress_roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-discord_philosophy_medium_en.md b/docs/_posts/ahmedlone127/2024-09-19-discord_philosophy_medium_en.md
new file mode 100644
index 00000000000000..435219a8bbad5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-discord_philosophy_medium_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English discord_philosophy_medium RoBertaEmbeddings from TheDiamondKing
+author: John Snow Labs
+name: discord_philosophy_medium
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`discord_philosophy_medium` is a English model originally trained by TheDiamondKing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/discord_philosophy_medium_en_5.5.0_3.0_1726747813878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/discord_philosophy_medium_en_5.5.0_3.0_1726747813878.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|discord_philosophy_medium|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|469.7 MB|
+
+## References
+
+https://huggingface.co/TheDiamondKing/Discord-Philosophy-Medium
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-discord_philosophy_medium_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-discord_philosophy_medium_pipeline_en.md
new file mode 100644
index 00000000000000..4c998f5d96b4e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-discord_philosophy_medium_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English discord_philosophy_medium_pipeline pipeline RoBertaEmbeddings from TheDiamondKing
+author: John Snow Labs
+name: discord_philosophy_medium_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`discord_philosophy_medium_pipeline` is a English model originally trained by TheDiamondKing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/discord_philosophy_medium_pipeline_en_5.5.0_3.0_1726747837858.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/discord_philosophy_medium_pipeline_en_5.5.0_3.0_1726747837858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("discord_philosophy_medium_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("discord_philosophy_medium_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|discord_philosophy_medium_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|469.7 MB|
+
+## References
+
+https://huggingface.co/TheDiamondKing/Discord-Philosophy-Medium
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distalbert_arabic_classification_en.md b/docs/_posts/ahmedlone127/2024-09-19-distalbert_arabic_classification_en.md
new file mode 100644
index 00000000000000..9d93d22ffba406
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distalbert_arabic_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distalbert_arabic_classification DistilBertForSequenceClassification from abd95
+author: John Snow Labs
+name: distalbert_arabic_classification
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distalbert_arabic_classification` is a English model originally trained by abd95.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distalbert_arabic_classification_en_5.5.0_3.0_1726763469305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distalbert_arabic_classification_en_5.5.0_3.0_1726763469305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distalbert_arabic_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abd95/distalbert-ar-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distiberthatespeech_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distiberthatespeech_pipeline_en.md
new file mode 100644
index 00000000000000..94f7b6175dae75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distiberthatespeech_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distiberthatespeech_pipeline pipeline DistilBertForSequenceClassification from GalMargo
+author: John Snow Labs
+name: distiberthatespeech_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distiberthatespeech_pipeline` is a English model originally trained by GalMargo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distiberthatespeech_pipeline_en_5.5.0_3.0_1726743443870.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distiberthatespeech_pipeline_en_5.5.0_3.0_1726743443870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distiberthatespeech_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distiberthatespeech_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distiberthatespeech_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/GalMargo/DistiBERTHateSpeech
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distil_news_finetune2_en.md b/docs/_posts/ahmedlone127/2024-09-19-distil_news_finetune2_en.md
new file mode 100644
index 00000000000000..8cc4175a4a536f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distil_news_finetune2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distil_news_finetune2 DistilBertForSequenceClassification from anggari
+author: John Snow Labs
+name: distil_news_finetune2
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_news_finetune2` is a English model originally trained by anggari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_news_finetune2_en_5.5.0_3.0_1726763630796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_news_finetune2_en_5.5.0_3.0_1726763630796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_news_finetune2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/anggari/distil_news_finetune2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distil_task_b_3_en.md b/docs/_posts/ahmedlone127/2024-09-19-distil_task_b_3_en.md
new file mode 100644
index 00000000000000..5ad163bdc785ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distil_task_b_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distil_task_b_3 DistilBertForSequenceClassification from sheduele
+author: John Snow Labs
+name: distil_task_b_3
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_task_b_3` is a English model originally trained by sheduele.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_task_b_3_en_5.5.0_3.0_1726742803768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_task_b_3_en_5.5.0_3.0_1726742803768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_kallidavidson|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/kallidavidson/distilbert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_cased_pipeline_en.md
new file mode 100644
index 00000000000000..80fc46b17c68bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_cased_pipeline pipeline DistilBertForSequenceClassification from xshubhamx
+author: John Snow Labs
+name: distilbert_base_cased_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_pipeline` is a English model originally trained by xshubhamx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_pipeline_en_5.5.0_3.0_1726742720077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_pipeline_en_5.5.0_3.0_1726742720077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.1 MB|
+
+## References
+
+https://huggingface.co/xshubhamx/distilbert-base-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_pipeline_xx.md
new file mode 100644
index 00000000000000..e3a1a83f0cc202
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_pipeline pipeline DistilBertForSequenceClassification from rogelioplatt
+author: John Snow Labs
+name: distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_pipeline
+date: 2024-09-19
+tags: [xx, open_source, pipeline, onnx]
+task: Text Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_pipeline` is a Multilingual model originally trained by rogelioplatt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_pipeline_xx_5.5.0_3.0_1726764163574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_pipeline_xx_5.5.0_3.0_1726764163574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_cased_actitud_german_tener_latin_razon_esp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/rogelioplatt/distilbert-base-multilingual-cased-Actitud_de_tener_la_razon_Esp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_thai_cased_finetuned_sentiment_th.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_thai_cased_finetuned_sentiment_th.md
new file mode 100644
index 00000000000000..1eafb25bd2f494
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_thai_cased_finetuned_sentiment_th.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Thai distilbert_base_thai_cased_finetuned_sentiment DistilBertForSequenceClassification from FlukeTJ
+author: John Snow Labs
+name: distilbert_base_thai_cased_finetuned_sentiment
+date: 2024-09-19
+tags: [th, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: th
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_thai_cased_finetuned_sentiment` is a Thai model originally trained by FlukeTJ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_thai_cased_finetuned_sentiment_th_5.5.0_3.0_1726763693712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_thai_cased_finetuned_sentiment_th_5.5.0_3.0_1726763693712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_thai_cased_finetuned_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|th|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/FlukeTJ/distilbert-base-thai-cased-finetuned-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_3epoch7_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_3epoch7_2_pipeline_en.md
new file mode 100644
index 00000000000000..325dae0bdca8a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_3epoch7_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_3epoch7_2_pipeline pipeline DistilBertForSequenceClassification from dianamihalache27
+author: John Snow Labs
+name: distilbert_base_uncased_3epoch7_2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_3epoch7_2_pipeline` is a English model originally trained by dianamihalache27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_3epoch7_2_pipeline_en_5.5.0_3.0_1726704745918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_3epoch7_2_pipeline_en_5.5.0_3.0_1726704745918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_3epoch7_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_3epoch7_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_3epoch7_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dianamihalache27/distilbert-base-uncased_3epoch7.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_amazon_polarity_google_colab_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_amazon_polarity_google_colab_en.md
new file mode 100644
index 00000000000000..dcaa4e32697793
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_amazon_polarity_google_colab_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_amazon_polarity_google_colab DistilBertForSequenceClassification from jigarcpatel
+author: John Snow Labs
+name: distilbert_base_uncased_amazon_polarity_google_colab
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_amazon_polarity_google_colab` is a English model originally trained by jigarcpatel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_amazon_polarity_google_colab_en_5.5.0_3.0_1726718982826.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_amazon_polarity_google_colab_en_5.5.0_3.0_1726718982826.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_amazon_polarity_google_colab|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jigarcpatel/distilbert-base-uncased-amazon-polarity-google-colab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_amazon_polarity_google_colab_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_amazon_polarity_google_colab_pipeline_en.md
new file mode 100644
index 00000000000000..3da8f567603dbd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_amazon_polarity_google_colab_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_amazon_polarity_google_colab_pipeline pipeline DistilBertForSequenceClassification from jigarcpatel
+author: John Snow Labs
+name: distilbert_base_uncased_amazon_polarity_google_colab_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_amazon_polarity_google_colab_pipeline` is a English model originally trained by jigarcpatel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_amazon_polarity_google_colab_pipeline_en_5.5.0_3.0_1726718999524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_amazon_polarity_google_colab_pipeline_en_5.5.0_3.0_1726718999524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_amazon_polarity_google_colab_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_amazon_polarity_google_colab_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_amazon_polarity_google_colab_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jigarcpatel/distilbert-base-uncased-amazon-polarity-google-colab
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_en.md
new file mode 100644
index 00000000000000..24aed23b1a9dd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_en_5.5.0_3.0_1726743219666.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_en_5.5.0_3.0_1726743219666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_pipeline_en.md
new file mode 100644
index 00000000000000..bbaf96f12c88ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_pipeline_en_5.5.0_3.0_1726743231922.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_pipeline_en_5.5.0_3.0_1726743231922.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_banking_zphr_0st72_ut102ut10_plain_simsp_clean
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_emotion_ft_0416_peter4_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_emotion_ft_0416_peter4_en.md
new file mode 100644
index 00000000000000..693ab3d8d6b6f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_emotion_ft_0416_peter4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_emotion_ft_0416_peter4 DistilBertForSequenceClassification from Peter4
+author: John Snow Labs
+name: distilbert_base_uncased_emotion_ft_0416_peter4
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0416_peter4` is a English model originally trained by Peter4.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_peter4_en_5.5.0_3.0_1726719088633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_peter4_en_5.5.0_3.0_1726719088633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_emotion_ft_0416_peter4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Peter4/distilbert-base-uncased_emotion_ft_0416
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_emotion_ft_0416_peter4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_emotion_ft_0416_peter4_pipeline_en.md
new file mode 100644
index 00000000000000..c4e708982792e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_emotion_ft_0416_peter4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_emotion_ft_0416_peter4_pipeline pipeline DistilBertForSequenceClassification from Peter4
+author: John Snow Labs
+name: distilbert_base_uncased_emotion_ft_0416_peter4_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0416_peter4_pipeline` is a English model originally trained by Peter4.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_peter4_pipeline_en_5.5.0_3.0_1726719101222.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_peter4_pipeline_en_5.5.0_3.0_1726719101222.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_emotion_ft_0416_peter4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_emotion_ft_0416_peter4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_emotion_ft_0416_peter4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Peter4/distilbert-base-uncased_emotion_ft_0416
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_findtuned_emotion_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_findtuned_emotion_en.md
new file mode 100644
index 00000000000000..1211cc232d2fa2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_findtuned_emotion_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English distilbert_base_uncased_findtuned_emotion DistilBertForSequenceClassification from ctojang
+author: John Snow Labs
+name: distilbert_base_uncased_findtuned_emotion
+date: 2024-09-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_findtuned_emotion` is a English model originally trained by ctojang.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_findtuned_emotion_en_5.5.0_3.0_1726742796845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_findtuned_emotion_en_5.5.0_3.0_1726742796845.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_findtuned_emotion|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+References
+
+https://huggingface.co/ctojang/distilbert-base-uncased-findtuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_adl_hw1_binga288_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_adl_hw1_binga288_en.md
new file mode 100644
index 00000000000000..9933bdf088bf47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_adl_hw1_binga288_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_adl_hw1_binga288 DistilBertForSequenceClassification from Binga288
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_adl_hw1_binga288
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_binga288` is a English model originally trained by Binga288.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_binga288_en_5.5.0_3.0_1726764127257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_binga288_en_5.5.0_3.0_1726764127257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_binga288|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Binga288/distilbert-base-uncased-finetuned-adl_hw1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_adl_hw1_wennycooper_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_adl_hw1_wennycooper_pipeline_en.md
new file mode 100644
index 00000000000000..788d30d948b35a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_adl_hw1_wennycooper_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_adl_hw1_wennycooper_pipeline pipeline DistilBertForSequenceClassification from wennycooper
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_adl_hw1_wennycooper_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_wennycooper_pipeline` is a English model originally trained by wennycooper.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_wennycooper_pipeline_en_5.5.0_3.0_1726743691010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_wennycooper_pipeline_en_5.5.0_3.0_1726743691010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_adl_hw1_wennycooper_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_adl_hw1_wennycooper_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_wennycooper_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/wennycooper/distilbert-base-uncased-finetuned-adl_hw1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_abushady5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_abushady5_pipeline_en.md
new file mode 100644
index 00000000000000..7abee68d4325bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_abushady5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_abushady5_pipeline pipeline DistilBertForSequenceClassification from Abushady5
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_abushady5_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_abushady5_pipeline` is a English model originally trained by Abushady5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_abushady5_pipeline_en_5.5.0_3.0_1726719336468.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_abushady5_pipeline_en_5.5.0_3.0_1726719336468.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_abushady5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_abushady5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_abushady5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Abushady5/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_alexmy2023_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_alexmy2023_en.md
new file mode 100644
index 00000000000000..5039393a1ab16c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_alexmy2023_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_alexmy2023 DistilBertForSequenceClassification from alexmy2023
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_alexmy2023
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_alexmy2023` is a English model originally trained by alexmy2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_alexmy2023_en_5.5.0_3.0_1726763531700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_alexmy2023_en_5.5.0_3.0_1726763531700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_alexmy2023|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/alexmy2023/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_alexmy2023_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_alexmy2023_pipeline_en.md
new file mode 100644
index 00000000000000..4b6aff09f39d83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_alexmy2023_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_alexmy2023_pipeline pipeline DistilBertForSequenceClassification from alexmy2023
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_alexmy2023_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_alexmy2023_pipeline` is a English model originally trained by alexmy2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_alexmy2023_pipeline_en_5.5.0_3.0_1726763544886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_alexmy2023_pipeline_en_5.5.0_3.0_1726763544886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_alexmy2023_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_alexmy2023_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_alexmy2023_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/alexmy2023/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_bwy071_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_bwy071_pipeline_en.md
new file mode 100644
index 00000000000000..70def8e719d47f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_bwy071_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_bwy071_pipeline pipeline DistilBertForSequenceClassification from bwy071
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_bwy071_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_bwy071_pipeline` is a English model originally trained by bwy071.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_bwy071_pipeline_en_5.5.0_3.0_1726704752870.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_bwy071_pipeline_en_5.5.0_3.0_1726704752870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_bwy071_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_bwy071_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_bwy071_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bwy071/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_elyziumm_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_elyziumm_en.md
new file mode 100644
index 00000000000000..375c48c864eb50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_elyziumm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_elyziumm DistilBertForSequenceClassification from elyziumm
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_elyziumm
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_elyziumm` is a English model originally trained by elyziumm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_elyziumm_en_5.5.0_3.0_1726742797856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_elyziumm_en_5.5.0_3.0_1726742797856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_elyziumm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/elyziumm/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_hanzla107_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_hanzla107_en.md
new file mode 100644
index 00000000000000..f07c5a5fc43d90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_hanzla107_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_hanzla107 DistilBertForSequenceClassification from hanzla107
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_hanzla107
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_hanzla107` is a English model originally trained by hanzla107.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hanzla107_en_5.5.0_3.0_1726718982866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hanzla107_en_5.5.0_3.0_1726718982866.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_hanzla107|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hanzla107/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_jbgao_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_jbgao_pipeline_en.md
new file mode 100644
index 00000000000000..bb56e1e3f41c99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_cola_jbgao_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_jbgao_pipeline pipeline DistilBertForSequenceClassification from jbgao
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_jbgao_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_jbgao_pipeline` is a English model originally trained by jbgao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jbgao_pipeline_en_5.5.0_3.0_1726742427021.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jbgao_pipeline_en_5.5.0_3.0_1726742427021.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_jbgao_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_jbgao_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_jbgao_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jbgao/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emo_une_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emo_une_pipeline_en.md
new file mode 100644
index 00000000000000..678ca6fa6fe8ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emo_une_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emo_une_pipeline pipeline DistilBertForSequenceClassification from Gregorig
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emo_une_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emo_une_pipeline` is a English model originally trained by Gregorig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emo_une_pipeline_en_5.5.0_3.0_1726743156699.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emo_une_pipeline_en_5.5.0_3.0_1726743156699.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emo_une_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emo_une_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emo_une_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Gregorig/distilbert-base-uncased-finetuned-emo_une
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_ayushvaish2000_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_ayushvaish2000_en.md
new file mode 100644
index 00000000000000..ae73062f79a4b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_ayushvaish2000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ayushvaish2000 DistilBertForSequenceClassification from ayushvaish2000
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ayushvaish2000
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ayushvaish2000` is a English model originally trained by ayushvaish2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ayushvaish2000_en_5.5.0_3.0_1726742577976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ayushvaish2000_en_5.5.0_3.0_1726742577976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ayushvaish2000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ayushvaish2000/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_benshafat_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_benshafat_en.md
new file mode 100644
index 00000000000000..d2911b600d5477
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_benshafat_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_benshafat DistilBertForSequenceClassification from benshafat
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_benshafat
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_benshafat` is a English model originally trained by benshafat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_benshafat_en_5.5.0_3.0_1726763559066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_benshafat_en_5.5.0_3.0_1726763559066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_benshafat|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/benshafat/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_cokuun_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_cokuun_en.md
new file mode 100644
index 00000000000000..6412f4abbbf757
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_cokuun_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cokuun DistilBertForSequenceClassification from cokuun
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cokuun
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cokuun` is a English model originally trained by cokuun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cokuun_en_5.5.0_3.0_1726741235584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cokuun_en_5.5.0_3.0_1726741235584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cokuun|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cokuun/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_cramade_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_cramade_en.md
new file mode 100644
index 00000000000000..4fb0941f3b3212
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_cramade_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cramade DistilBertForSequenceClassification from cramade
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cramade
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cramade` is a English model originally trained by cramade.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cramade_en_5.5.0_3.0_1726741025878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cramade_en_5.5.0_3.0_1726741025878.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cramade|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cramade/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_cramade_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_cramade_pipeline_en.md
new file mode 100644
index 00000000000000..b68704ef2bc117
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_cramade_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cramade_pipeline pipeline DistilBertForSequenceClassification from cramade
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cramade_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cramade_pipeline` is a English model originally trained by cramade.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cramade_pipeline_en_5.5.0_3.0_1726741038222.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cramade_pipeline_en_5.5.0_3.0_1726741038222.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_cramade_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_cramade_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cramade_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cramade/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_es_k_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_es_k_en.md
new file mode 100644
index 00000000000000..071cb7d7dfaefe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_es_k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_es_k DistilBertForSequenceClassification from es-k
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_es_k
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_es_k` is a English model originally trained by es-k.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_es_k_en_5.5.0_3.0_1726704377979.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_es_k_en_5.5.0_3.0_1726704377979.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_es_k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/es-k/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_es_k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_es_k_pipeline_en.md
new file mode 100644
index 00000000000000..5daebc59b4c4ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_es_k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_es_k_pipeline pipeline DistilBertForSequenceClassification from es-k
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_es_k_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_es_k_pipeline` is a English model originally trained by es-k.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_es_k_pipeline_en_5.5.0_3.0_1726704390181.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_es_k_pipeline_en_5.5.0_3.0_1726704390181.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_es_k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_es_k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_es_k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/es-k/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_farisanki_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_farisanki_en.md
new file mode 100644
index 00000000000000..a6299fb2352e39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_farisanki_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_farisanki DistilBertForSequenceClassification from farisanki
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_farisanki
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_farisanki` is a English model originally trained by farisanki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_farisanki_en_5.5.0_3.0_1726742966951.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_farisanki_en_5.5.0_3.0_1726742966951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_farisanki|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/farisanki/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_fonzie_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_fonzie_en.md
new file mode 100644
index 00000000000000..f4294e8fd12b2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_fonzie_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_fonzie DistilBertForSequenceClassification from Fonzie
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_fonzie
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_fonzie` is a English model originally trained by Fonzie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fonzie_en_5.5.0_3.0_1726741352092.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fonzie_en_5.5.0_3.0_1726741352092.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_fonzie|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Fonzie/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_fonzie_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_fonzie_pipeline_en.md
new file mode 100644
index 00000000000000..97bc80a36f315e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_fonzie_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_fonzie_pipeline pipeline DistilBertForSequenceClassification from Fonzie
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_fonzie_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_fonzie_pipeline` is a English model originally trained by Fonzie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fonzie_pipeline_en_5.5.0_3.0_1726741364413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fonzie_pipeline_en_5.5.0_3.0_1726741364413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_fonzie_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_fonzie_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_fonzie_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Fonzie/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_fyl1_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_fyl1_en.md
new file mode 100644
index 00000000000000..70887986f805e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_fyl1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_fyl1 DistilBertForSequenceClassification from fyl1
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_fyl1
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_fyl1` is a English model originally trained by fyl1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fyl1_en_5.5.0_3.0_1726743949004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fyl1_en_5.5.0_3.0_1726743949004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_fyl1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fyl1/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_gopidon_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_gopidon_en.md
new file mode 100644
index 00000000000000..72449868b1ff64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_gopidon_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_gopidon DistilBertForSequenceClassification from gopidon
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_gopidon
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_gopidon` is a English model originally trained by gopidon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gopidon_en_5.5.0_3.0_1726763552890.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gopidon_en_5.5.0_3.0_1726763552890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_gopidon|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/gopidon/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_gopidon_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_gopidon_pipeline_en.md
new file mode 100644
index 00000000000000..99083ca387436a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_gopidon_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_gopidon_pipeline pipeline DistilBertForSequenceClassification from gopidon
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_gopidon_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_gopidon_pipeline` is a English model originally trained by gopidon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gopidon_pipeline_en_5.5.0_3.0_1726763565178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gopidon_pipeline_en_5.5.0_3.0_1726763565178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_gopidon_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_gopidon_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_gopidon_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/gopidon/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_lch34677_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_lch34677_en.md
new file mode 100644
index 00000000000000..57b4261e65723f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_lch34677_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_lch34677 DistilBertForSequenceClassification from lch34677
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_lch34677
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_lch34677` is a English model originally trained by lch34677.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lch34677_en_5.5.0_3.0_1726744071233.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lch34677_en_5.5.0_3.0_1726744071233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_lch34677|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lch34677/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_mile48_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_mile48_en.md
new file mode 100644
index 00000000000000..7218422728289c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_mile48_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_mile48 DistilBertForSequenceClassification from mile48
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_mile48
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mile48` is a English model originally trained by mile48.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mile48_en_5.5.0_3.0_1726743762349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mile48_en_5.5.0_3.0_1726743762349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_mile48|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mile48/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_nickrth_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_nickrth_en.md
new file mode 100644
index 00000000000000..8169dbcbe0cde3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_nickrth_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_nickrth DistilBertForSequenceClassification from nickrth
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_nickrth
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nickrth` is a English model originally trained by nickrth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nickrth_en_5.5.0_3.0_1726719507945.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nickrth_en_5.5.0_3.0_1726719507945.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_nickrth|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nickrth/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_qixing_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_qixing_en.md
new file mode 100644
index 00000000000000..a23e3ebe077705
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_qixing_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_qixing DistilBertForSequenceClassification from qixing
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_qixing
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_qixing` is a English model originally trained by qixing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_qixing_en_5.5.0_3.0_1726719569467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_qixing_en_5.5.0_3.0_1726719569467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_qixing|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/qixing/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_qixing_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_qixing_pipeline_en.md
new file mode 100644
index 00000000000000..64f14f2361f7ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_qixing_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_qixing_pipeline pipeline DistilBertForSequenceClassification from qixing
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_qixing_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_qixing_pipeline` is a English model originally trained by qixing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_qixing_pipeline_en_5.5.0_3.0_1726719581470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_qixing_pipeline_en_5.5.0_3.0_1726719581470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_qixing_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_qixing_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_qixing_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/qixing/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_rairachit_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_rairachit_en.md
new file mode 100644
index 00000000000000..5b5c9a76612f14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_rairachit_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_rairachit DistilBertForSequenceClassification from RaiRachit
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_rairachit
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rairachit` is a English model originally trained by RaiRachit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rairachit_en_5.5.0_3.0_1726719209059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rairachit_en_5.5.0_3.0_1726719209059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_rairachit|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RaiRachit/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_redglasses_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_redglasses_en.md
new file mode 100644
index 00000000000000..7c18436567bf5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_redglasses_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_redglasses DistilBertForSequenceClassification from RedGlasses
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_redglasses
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_redglasses` is a English model originally trained by RedGlasses.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_redglasses_en_5.5.0_3.0_1726704353336.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_redglasses_en_5.5.0_3.0_1726704353336.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_redglasses|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RedGlasses/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_sayanote_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_sayanote_pipeline_en.md
new file mode 100644
index 00000000000000..1fed1bc7685f51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotion_sayanote_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sayanote_pipeline pipeline DistilBertForSequenceClassification from Sayanote
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sayanote_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sayanote_pipeline` is a English model originally trained by Sayanote.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sayanote_pipeline_en_5.5.0_3.0_1726743555011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sayanote_pipeline_en_5.5.0_3.0_1726743555011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_sayanote_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_sayanote_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sayanote_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Sayanote/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotions_jjfumero_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotions_jjfumero_en.md
new file mode 100644
index 00000000000000..6bf7b2c3ea4002
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_emotions_jjfumero_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotions_jjfumero DistilBertForSequenceClassification from jjfumero
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotions_jjfumero
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_jjfumero` is a English model originally trained by jjfumero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_jjfumero_en_5.5.0_3.0_1726764116961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_jjfumero_en_5.5.0_3.0_1726764116961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotions_jjfumero|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jjfumero/distilbert-base-uncased-finetuned-emotions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline_en.md
new file mode 100644
index 00000000000000..0a2e48b6f524c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline pipeline DistilBertForSequenceClassification from BanUrsus
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline` is a English model originally trained by BanUrsus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline_en_5.5.0_3.0_1726719406223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline_en_5.5.0_3.0_1726719406223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BanUrsus/distilbert-base-uncased-finetuned-imdb-classifier_nlp-course-chapter7-section2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_en.md
new file mode 100644
index 00000000000000..e73f66a5e7946a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted DistilBertForSequenceClassification from ben-yu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted` is a English model originally trained by ben-yu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_en_5.5.0_3.0_1726742979203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted_en_5.5.0_3.0_1726742979203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_nlp_letters_text_all_class_weighted|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ben-yu/distilbert-base-uncased-finetuned-nlp-letters-TEXT-all-class-weighted
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_sanskrit_saskta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_sanskrit_saskta_pipeline_en.md
new file mode 100644
index 00000000000000..2da93930894085
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_sanskrit_saskta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sanskrit_saskta_pipeline pipeline DistilBertForSequenceClassification from datht
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sanskrit_saskta_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sanskrit_saskta_pipeline` is a English model originally trained by datht.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sanskrit_saskta_pipeline_en_5.5.0_3.0_1726704814395.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sanskrit_saskta_pipeline_en_5.5.0_3.0_1726704814395.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_sanskrit_saskta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_sanskrit_saskta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sanskrit_saskta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/datht/distilbert-base-uncased-finetuned-SA
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_coreyabs_db_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_coreyabs_db_en.md
new file mode 100644
index 00000000000000..05056287c1bac3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_coreyabs_db_en.md
@@ -0,0 +1,92 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_coreyabs_db DistilBertEmbeddings from coreyabs-db
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_coreyabs_db
+date: 2024-09-19
+tags: [distilbert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_coreyabs_db` is a English model originally trained by coreyabs-db.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_coreyabs_db_en_5.5.0_3.0_1726727597479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_coreyabs_db_en_5.5.0_3.0_1726727597479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_kiwihead15|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Kiwihead15/distilbert-base-uncased-finetuned-squad-d5716d28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_pipeline_en.md
new file mode 100644
index 00000000000000..b24a633151640c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_pipeline pipeline DistilBertForQuestionAnswering from sgr23
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_pipeline` is a English model originally trained by sgr23.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_pipeline_en_5.5.0_3.0_1726727623230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_pipeline_en_5.5.0_3.0_1726727623230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_sgr23_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sgr23/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_en.md
new file mode 100644
index 00000000000000..5ea3fa73a77eeb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever DistilBertForQuestionAnswering from Sober-Clever
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever
+date: 2024-09-19
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever` is a English model originally trained by Sober-Clever.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_en_5.5.0_3.0_1726786041906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_en_5.5.0_3.0_1726786041906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Sober-Clever/distilbert-base-uncased-finetuned-squad-d5716d28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_pipeline_en.md
new file mode 100644
index 00000000000000..d569abcbca1d2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_pipeline pipeline DistilBertForQuestionAnswering from Sober-Clever
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_pipeline` is a English model originally trained by Sober-Clever.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_pipeline_en_5.5.0_3.0_1726786052946.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_pipeline_en_5.5.0_3.0_1726786052946.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_sober_clever_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Sober-Clever/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_gplaza91_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_gplaza91_en.md
new file mode 100644
index 00000000000000..d727cc84e0d174
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_gplaza91_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_gplaza91 DistilBertForQuestionAnswering from gplaza91
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_gplaza91
+date: 2024-09-19
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_gplaza91` is a English model originally trained by gplaza91.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_gplaza91_en_5.5.0_3.0_1726748417556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_gplaza91_en_5.5.0_3.0_1726748417556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_gplaza91|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/gplaza91/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_gplaza91_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_gplaza91_pipeline_en.md
new file mode 100644
index 00000000000000..5ec5a2347c7f15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_gplaza91_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_gplaza91_pipeline pipeline DistilBertForQuestionAnswering from gplaza91
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_gplaza91_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_gplaza91_pipeline` is a English model originally trained by gplaza91.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_gplaza91_pipeline_en_5.5.0_3.0_1726748430961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_gplaza91_pipeline_en_5.5.0_3.0_1726748430961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_squad_gplaza91_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_gplaza91_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_gplaza91_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/gplaza91/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_mfenner_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_mfenner_en.md
new file mode 100644
index 00000000000000..2b1c72259fb519
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_squad_mfenner_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_mfenner DistilBertForQuestionAnswering from mfenner
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_mfenner
+date: 2024-09-19
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_mfenner` is a English model originally trained by mfenner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_mfenner_en_5.5.0_3.0_1726766672248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_mfenner_en_5.5.0_3.0_1726766672248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_mfenner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/mfenner/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_t_communication_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_t_communication_en.md
new file mode 100644
index 00000000000000..9af156543f1fb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_finetuned_t_communication_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_t_communication DistilBertForSequenceClassification from Gregorig
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_t_communication
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_t_communication` is a English model originally trained by Gregorig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_t_communication_en_5.5.0_3.0_1726742860008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_t_communication_en_5.5.0_3.0_1726742860008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_t_communication|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Gregorig/distilbert-base-uncased-finetuned-t_communication
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_fold_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_fold_4_pipeline_en.md
new file mode 100644
index 00000000000000..216d8f744e3c28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_fold_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_fold_4_pipeline pipeline DistilBertForSequenceClassification from research-dump
+author: John Snow Labs
+name: distilbert_base_uncased_fold_4_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fold_4_pipeline` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fold_4_pipeline_en_5.5.0_3.0_1726743744582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fold_4_pipeline_en_5.5.0_3.0_1726743744582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_fold_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_fold_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_fold_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/research-dump/distilbert-base-uncased_fold_4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_md_gender_bias_trained_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_md_gender_bias_trained_pipeline_en.md
new file mode 100644
index 00000000000000..5df6d9cb95ebdd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_md_gender_bias_trained_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_md_gender_bias_trained_pipeline pipeline DistilBertForSequenceClassification from JakobKaiser
+author: John Snow Labs
+name: distilbert_base_uncased_md_gender_bias_trained_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_md_gender_bias_trained_pipeline` is a English model originally trained by JakobKaiser.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_md_gender_bias_trained_pipeline_en_5.5.0_3.0_1726704582944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_md_gender_bias_trained_pipeline_en_5.5.0_3.0_1726704582944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_md_gender_bias_trained_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_md_gender_bias_trained_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_md_gender_bias_trained_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/JakobKaiser/distilbert-base-uncased-md_gender_bias-trained
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_en.md
new file mode 100644
index 00000000000000..f9aaf3203a4626
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_en_5.5.0_3.0_1726742731419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300_en_5.5.0_3.0_1726742731419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st15sd_ut72ut5_plprefix0stlarge_simsp100_clean300|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st15sd_ut72ut5_PLPrefix0stlarge_simsp100_clean300
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..9f2080336174c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_pipeline_en_5.5.0_3.0_1726743009343.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_pipeline_en_5.5.0_3.0_1726743009343.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1large16pfxnf_simsp400_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st16sd_ut72ut1large16PfxNf_simsp400_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en.md
new file mode 100644
index 00000000000000..98e0f3994887be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en_5.5.0_3.0_1726743424443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en_5.5.0_3.0_1726743424443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st17sd_ut72ut1_PLPrefix0stlarge_simsp300_clean100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..1d0c2dbba3e270
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline_en_5.5.0_3.0_1726743443983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline_en_5.5.0_3.0_1726743443983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st17sd_ut72ut1_PLPrefix0stlarge_simsp300_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_en.md
new file mode 100644
index 00000000000000..8868cb121c1bca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_en_5.5.0_3.0_1726743858444.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200_en_5.5.0_3.0_1726743858444.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st17sd_ut72ut1largepfxnf_simsp300_clean200|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st17sd_ut72ut1largePfxNf_simsp300_clean200
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_en.md
new file mode 100644
index 00000000000000..4d2bbd75ec3027
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_en_5.5.0_3.0_1726742907682.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300_en_5.5.0_3.0_1726742907682.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st19sd_ut72ut5_plprefix0stlarge19_simsp100_clean300|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st19sd_ut72ut5_PLPrefix0stlarge19_simsp100_clean300
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_en.md
new file mode 100644
index 00000000000000..39d2ceb0b132d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_en_5.5.0_3.0_1726742680811.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300_en_5.5.0_3.0_1726742680811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1large7pfxnf_simsp400_clean300|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st7sd_ut72ut1large7PfxNf_simsp400_clean300
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_qa_mash_covid_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_qa_mash_covid_pipeline_en.md
new file mode 100644
index 00000000000000..93eeabdc56cee8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_qa_mash_covid_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_qa_mash_covid_pipeline pipeline DistilBertForQuestionAnswering from Eurosmart
+author: John Snow Labs
+name: distilbert_base_uncased_qa_mash_covid_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_qa_mash_covid_pipeline` is a English model originally trained by Eurosmart.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_qa_mash_covid_pipeline_en_5.5.0_3.0_1726766785777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_qa_mash_covid_pipeline_en_5.5.0_3.0_1726766785777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_qa_mash_covid_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_qa_mash_covid_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_qa_mash_covid_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Eurosmart/distilbert-base-uncased-qa-mash-covid
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_rile_v1_frozen_4_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_rile_v1_frozen_4_en.md
new file mode 100644
index 00000000000000..68034f8e198488
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_rile_v1_frozen_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_rile_v1_frozen_4 DistilBertForSequenceClassification from kghanlon
+author: John Snow Labs
+name: distilbert_base_uncased_rile_v1_frozen_4
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_rile_v1_frozen_4` is a English model originally trained by kghanlon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_rile_v1_frozen_4_en_5.5.0_3.0_1726744167857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_rile_v1_frozen_4_en_5.5.0_3.0_1726744167857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_rile_v1_frozen_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kghanlon/distilbert-base-uncased-RILE-v1_frozen_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_rile_v1_frozen_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_rile_v1_frozen_4_pipeline_en.md
new file mode 100644
index 00000000000000..596eb381c121b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_rile_v1_frozen_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_rile_v1_frozen_4_pipeline pipeline DistilBertForSequenceClassification from kghanlon
+author: John Snow Labs
+name: distilbert_base_uncased_rile_v1_frozen_4_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_rile_v1_frozen_4_pipeline` is a English model originally trained by kghanlon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_rile_v1_frozen_4_pipeline_en_5.5.0_3.0_1726744179807.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_rile_v1_frozen_4_pipeline_en_5.5.0_3.0_1726744179807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_rile_v1_frozen_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_rile_v1_frozen_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_rile_v1_frozen_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kghanlon/distilbert-base-uncased-RILE-v1_frozen_4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_sgd_zphr_0st42sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_sgd_zphr_0st42sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..4d8ce2a1ab1345
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_sgd_zphr_0st42sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_sgd_zphr_0st42sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_sgd_zphr_0st42sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_sgd_zphr_0st42sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sgd_zphr_0st42sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en_5.5.0_3.0_1726704719638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sgd_zphr_0st42sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline_en_5.5.0_3.0_1726704719638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_sgd_zphr_0st42sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_sgd_zphr_0st42sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_sgd_zphr_0st42sd_ut72ut5_plprefix0stlarge_simsp100_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_sgd_zphr_0st42sd_ut72ut5_PLPrefix0stlarge_simsp100_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_simpleeng_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_simpleeng_classifier_en.md
new file mode 100644
index 00000000000000..8343f3e630d09b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_simpleeng_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_simpleeng_classifier DistilBertForSequenceClassification from saradiaz
+author: John Snow Labs
+name: distilbert_base_uncased_simpleeng_classifier
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_simpleeng_classifier` is a English model originally trained by saradiaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_simpleeng_classifier_en_5.5.0_3.0_1726763824010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_simpleeng_classifier_en_5.5.0_3.0_1726763824010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_simpleeng_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/saradiaz/distilbert-base-uncased-simpleEng-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_simpleeng_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_simpleeng_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..fd94b2aa61c288
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_simpleeng_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_simpleeng_classifier_pipeline pipeline DistilBertForSequenceClassification from saradiaz
+author: John Snow Labs
+name: distilbert_base_uncased_simpleeng_classifier_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_simpleeng_classifier_pipeline` is a English model originally trained by saradiaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_simpleeng_classifier_pipeline_en_5.5.0_3.0_1726763836503.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_simpleeng_classifier_pipeline_en_5.5.0_3.0_1726763836503.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_simpleeng_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_simpleeng_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_simpleeng_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/saradiaz/distilbert-base-uncased-simpleEng-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_squad2_pruned_p45_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_squad2_pruned_p45_en.md
new file mode 100644
index 00000000000000..48853029966e0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_squad2_pruned_p45_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_pruned_p45 DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_pruned_p45
+date: 2024-09-19
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_pruned_p45` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_pruned_p45_en_5.5.0_3.0_1726727880486.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_pruned_p45_en_5.5.0_3.0_1726727880486.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_pruned_p45|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|192.6 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-pruned-p45
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_simsp_en.md
new file mode 100644
index 00000000000000..d394deebce64ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_simsp
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_simsp_en_5.5.0_3.0_1726704588976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_simsp_en_5.5.0_3.0_1726704588976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_0st_ut12ut1_plain_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_college_experience_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_college_experience_classifier_en.md
new file mode 100644
index 00000000000000..bd2eb8aab385a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_college_experience_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_college_experience_classifier DistilBertForSequenceClassification from jasonchay
+author: John Snow Labs
+name: distilbert_college_experience_classifier
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_college_experience_classifier` is a English model originally trained by jasonchay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_college_experience_classifier_en_5.5.0_3.0_1726742905743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_college_experience_classifier_en_5.5.0_3.0_1726742905743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_college_experience_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jasonchay/distilbert-college-experience-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_emotion_bilalinan_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_emotion_bilalinan_en.md
new file mode 100644
index 00000000000000..4dc8fc061872c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_emotion_bilalinan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_emotion_bilalinan DistilBertForSequenceClassification from bilalinan
+author: John Snow Labs
+name: distilbert_emotion_bilalinan
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_bilalinan` is a English model originally trained by bilalinan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_bilalinan_en_5.5.0_3.0_1726704281278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_bilalinan_en_5.5.0_3.0_1726704281278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_bilalinan|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bilalinan/distilbert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_imdb_sentiment_dipanjans_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_imdb_sentiment_dipanjans_en.md
new file mode 100644
index 00000000000000..af14298fdc6a18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_finetuned_imdb_sentiment_dipanjans_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_finetuned_imdb_sentiment_dipanjans DistilBertForSequenceClassification from dipanjanS
+author: John Snow Labs
+name: distilbert_finetuned_imdb_sentiment_dipanjans
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_imdb_sentiment_dipanjans` is a English model originally trained by dipanjanS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sentiment_dipanjans_en_5.5.0_3.0_1726741466694.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sentiment_dipanjans_en_5.5.0_3.0_1726741466694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|461.8 MB|
+
+## References
+
+References
+
+https://huggingface.co/songyi-ng/distilbert_IMDB
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_lora_finetuned_merged_imdb_sentiment_aniket_jain_9_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_lora_finetuned_merged_imdb_sentiment_aniket_jain_9_pipeline_en.md
new file mode 100644
index 00000000000000..4a46066b53a304
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_lora_finetuned_merged_imdb_sentiment_aniket_jain_9_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_lora_finetuned_merged_imdb_sentiment_aniket_jain_9_pipeline pipeline DistilBertForSequenceClassification from aniket-jain-9
+author: John Snow Labs
+name: distilbert_lora_finetuned_merged_imdb_sentiment_aniket_jain_9_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_lora_finetuned_merged_imdb_sentiment_aniket_jain_9_pipeline` is a English model originally trained by aniket-jain-9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_lora_finetuned_merged_imdb_sentiment_aniket_jain_9_pipeline_en_5.5.0_3.0_1726741131924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_lora_finetuned_merged_imdb_sentiment_aniket_jain_9_pipeline_en_5.5.0_3.0_1726741131924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_lora_finetuned_merged_imdb_sentiment_aniket_jain_9_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_lora_finetuned_merged_imdb_sentiment_aniket_jain_9_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_lora_finetuned_merged_imdb_sentiment_aniket_jain_9_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aniket-jain-9/distilbert-lora-finetuned-merged-imdb-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_netincomeloss_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_netincomeloss_en.md
new file mode 100644
index 00000000000000..34f44d3d680c8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_netincomeloss_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_netincomeloss DistilBertForSequenceClassification from lenguyen
+author: John Snow Labs
+name: distilbert_netincomeloss
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_netincomeloss` is a English model originally trained by lenguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_netincomeloss_en_5.5.0_3.0_1726742545962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_netincomeloss_en_5.5.0_3.0_1726742545962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_netincomeloss|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.0 MB|
+
+## References
+
+https://huggingface.co/lenguyen/distilbert_NetIncomeLoss
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_en.md
new file mode 100644
index 00000000000000..9b11239a5a2f11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_en_5.5.0_3.0_1726742882540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_en_5.5.0_3.0_1726742882540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|71.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_qnli_256
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_pipeline_en.md
new file mode 100644
index 00000000000000..2e500f81fb1986
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_pipeline_en_5.5.0_3.0_1726742886670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_pipeline_en_5.5.0_3.0_1726742886670.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_256_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|71.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_qnli_256
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_en.md
new file mode 100644
index 00000000000000..df128abccd5fcc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_en_5.5.0_3.0_1726743840199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96_en_5.5.0_3.0_1726743840199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_sst2_96|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_sst2_96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_rte_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_rte_pipeline_en.md
new file mode 100644
index 00000000000000..e7390d3747c8e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sanskrit_saskta_glue_experiment_rte_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_rte_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_rte_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_rte_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_rte_pipeline_en_5.5.0_3.0_1726743765377.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_rte_pipeline_en_5.5.0_3.0_1726743765377.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_rte_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_rte_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_rte_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|250.8 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_rte
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_sst2_padding90model_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sst2_padding90model_en.md
new file mode 100644
index 00000000000000..3dc7962ef62c9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sst2_padding90model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sst2_padding90model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_sst2_padding90model
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sst2_padding90model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sst2_padding90model_en_5.5.0_3.0_1726719285012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sst2_padding90model_en_5.5.0_3.0_1726719285012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sst2_padding90model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_sst2_padding90model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_sst2_padding90model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sst2_padding90model_pipeline_en.md
new file mode 100644
index 00000000000000..943b7d1b1c5533
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_sst2_padding90model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sst2_padding90model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_sst2_padding90model_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sst2_padding90model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sst2_padding90model_pipeline_en_5.5.0_3.0_1726719298265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sst2_padding90model_pipeline_en_5.5.0_3.0_1726719298265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sst2_padding90model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sst2_padding90model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sst2_padding90model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_sst2_padding90model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_turk_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_turk_en.md
new file mode 100644
index 00000000000000..1061f08b234bd2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_turk_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_turk DistilBertForSequenceClassification from alionder
+author: John Snow Labs
+name: distilbert_turk
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_turk` is a English model originally trained by alionder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_turk_en_5.5.0_3.0_1726743002032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_turk_en_5.5.0_3.0_1726743002032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_turk|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|254.1 MB|
+
+## References
+
+https://huggingface.co/alionder/distilbert_turk
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_qa_turkish_squad_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_qa_turkish_squad_pipeline_tr.md
new file mode 100644
index 00000000000000..ec3f92411690a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_qa_turkish_squad_pipeline_tr.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Turkish distilbert_turkish_qa_turkish_squad_pipeline pipeline DistilBertForQuestionAnswering from anilguven
+author: John Snow Labs
+name: distilbert_turkish_qa_turkish_squad_pipeline
+date: 2024-09-19
+tags: [tr, open_source, pipeline, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_turkish_qa_turkish_squad_pipeline` is a Turkish model originally trained by anilguven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_turkish_qa_turkish_squad_pipeline_tr_5.5.0_3.0_1726727797276.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_turkish_qa_turkish_squad_pipeline_tr_5.5.0_3.0_1726727797276.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_turkish_qa_turkish_squad_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_turkish_qa_turkish_squad_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_turkish_qa_turkish_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|251.8 MB|
+
+## References
+
+https://huggingface.co/anilguven/distilbert_tr_qa_turkish_squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_sentiment11_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_sentiment11_en.md
new file mode 100644
index 00000000000000..67e78f15281f1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_sentiment11_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_turkish_sentiment11 DistilBertForSequenceClassification from balciberin
+author: John Snow Labs
+name: distilbert_turkish_sentiment11
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_turkish_sentiment11` is a English model originally trained by balciberin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_turkish_sentiment11_en_5.5.0_3.0_1726743161153.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_turkish_sentiment11_en_5.5.0_3.0_1726743161153.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_turkish_sentiment11|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/balciberin/distilbert_turkish_sentiment11
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_sentiment11_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_sentiment11_pipeline_en.md
new file mode 100644
index 00000000000000..a6cc0d4398857b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_sentiment11_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_turkish_sentiment11_pipeline pipeline DistilBertForSequenceClassification from balciberin
+author: John Snow Labs
+name: distilbert_turkish_sentiment11_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_turkish_sentiment11_pipeline` is a English model originally trained by balciberin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_turkish_sentiment11_pipeline_en_5.5.0_3.0_1726743173090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_turkish_sentiment11_pipeline_en_5.5.0_3.0_1726743173090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_turkish_sentiment11_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_turkish_sentiment11_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_turkish_sentiment11_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/balciberin/distilbert_turkish_sentiment11
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_turkish_tweet_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_turkish_tweet_pipeline_tr.md
new file mode 100644
index 00000000000000..f52aa3d83a03e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilbert_turkish_turkish_tweet_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish distilbert_turkish_turkish_tweet_pipeline pipeline DistilBertForSequenceClassification from anilguven
+author: John Snow Labs
+name: distilbert_turkish_turkish_tweet_pipeline
+date: 2024-09-19
+tags: [tr, open_source, pipeline, onnx]
+task: Text Classification
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_turkish_turkish_tweet_pipeline` is a Turkish model originally trained by anilguven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_turkish_turkish_tweet_pipeline_tr_5.5.0_3.0_1726740873841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_turkish_turkish_tweet_pipeline_tr_5.5.0_3.0_1726740873841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_turkish_turkish_tweet_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_turkish_turkish_tweet_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_turkish_turkish_tweet_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|254.1 MB|
+
+## References
+
+https://huggingface.co/anilguven/distilbert_tr_turkish_tweet
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-distilroberta_rb156k_opt15_ep40_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-distilroberta_rb156k_opt15_ep40_pipeline_en.md
new file mode 100644
index 00000000000000..80c0eb9c8de314
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-distilroberta_rb156k_opt15_ep40_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_rb156k_opt15_ep40_pipeline pipeline RoBertaEmbeddings from judy93536
+author: John Snow Labs
+name: distilroberta_rb156k_opt15_ep40_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_rb156k_opt15_ep40_pipeline` is a English model originally trained by judy93536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_rb156k_opt15_ep40_pipeline_en_5.5.0_3.0_1726778390404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_rb156k_opt15_ep40_pipeline_en_5.5.0_3.0_1726778390404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_rb156k_opt15_ep40_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_rb156k_opt15_ep40_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_rb156k_opt15_ep40_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|305.9 MB|
+
+## References
+
+https://huggingface.co/judy93536/distilroberta-rb156k-opt15-ep40
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-emotion_predictor_for_emotion_chat_bot_en.md b/docs/_posts/ahmedlone127/2024-09-19-emotion_predictor_for_emotion_chat_bot_en.md
new file mode 100644
index 00000000000000..46a6d22dee3399
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-emotion_predictor_for_emotion_chat_bot_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emotion_predictor_for_emotion_chat_bot RoBertaForSequenceClassification from Shotaro30678
+author: John Snow Labs
+name: emotion_predictor_for_emotion_chat_bot
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_predictor_for_emotion_chat_bot` is a English model originally trained by Shotaro30678.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_predictor_for_emotion_chat_bot_en_5.5.0_3.0_1726726692215.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_predictor_for_emotion_chat_bot_en_5.5.0_3.0_1726726692215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_predictor_for_emotion_chat_bot|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/Shotaro30678/emotion_predictor_for_emotion_chat_bot
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-emotions_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-emotions_pipeline_en.md
new file mode 100644
index 00000000000000..e78ada88e3e200
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-emotions_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English emotions_pipeline pipeline RoBertaForSequenceClassification from HARSHU550
+author: John Snow Labs
+name: emotions_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotions_pipeline` is a English model originally trained by HARSHU550.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotions_pipeline_en_5.5.0_3.0_1726733526067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotions_pipeline_en_5.5.0_3.0_1726733526067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("emotions_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("emotions_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotions_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.9 MB|
+
+## References
+
+https://huggingface.co/HARSHU550/Emotions
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-fakenews_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-fakenews_pipeline_en.md
new file mode 100644
index 00000000000000..6088efe5bf3e35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-fakenews_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fakenews_pipeline pipeline DistilBertForSequenceClassification from reetghosh1
+author: John Snow Labs
+name: fakenews_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fakenews_pipeline` is a English model originally trained by reetghosh1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakenews_pipeline_en_5.5.0_3.0_1726719427942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakenews_pipeline_en_5.5.0_3.0_1726719427942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fakenews_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fakenews_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenews_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/reetghosh1/FakeNews
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-fakenewsmodel_en.md b/docs/_posts/ahmedlone127/2024-09-19-fakenewsmodel_en.md
new file mode 100644
index 00000000000000..ddc2013d9dabda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-fakenewsmodel_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fakenewsmodel RoBertaForSequenceClassification from magnusgp
+author: John Snow Labs
+name: fakenewsmodel
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fakenewsmodel` is a English model originally trained by magnusgp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakenewsmodel_en_5.5.0_3.0_1726750895650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakenewsmodel_en_5.5.0_3.0_1726750895650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenewsmodel|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|425.7 MB|
+
+## References
+
+https://huggingface.co/magnusgp/fakenewsmodel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-fin_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-19-fin_sentiment_en.md
new file mode 100644
index 00000000000000..293358d3091a15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-fin_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fin_sentiment XlmRoBertaForSequenceClassification from thaidv96
+author: John Snow Labs
+name: fin_sentiment
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment` is a English model originally trained by thaidv96.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_en_5.5.0_3.0_1726752776357.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_en_5.5.0_3.0_1726752776357.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fin_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|847.9 MB|
+
+## References
+
+https://huggingface.co/thaidv96/fin-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-financial_sentiment_model_1500_samples_en.md b/docs/_posts/ahmedlone127/2024-09-19-financial_sentiment_model_1500_samples_en.md
new file mode 100644
index 00000000000000..b785d15b7578ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-financial_sentiment_model_1500_samples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English financial_sentiment_model_1500_samples DistilBertForSequenceClassification from kevinwlip
+author: John Snow Labs
+name: financial_sentiment_model_1500_samples
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`financial_sentiment_model_1500_samples` is a English model originally trained by kevinwlip.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/financial_sentiment_model_1500_samples_en_5.5.0_3.0_1726719106847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/financial_sentiment_model_1500_samples_en_5.5.0_3.0_1726719106847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|financial_sentiment_model_1500_samples|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kevinwlip/financial-sentiment-model-1500-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-financial_sentiment_model_1500_samples_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-financial_sentiment_model_1500_samples_pipeline_en.md
new file mode 100644
index 00000000000000..f300c2c8ac3415
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-financial_sentiment_model_1500_samples_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English financial_sentiment_model_1500_samples_pipeline pipeline DistilBertForSequenceClassification from kevinwlip
+author: John Snow Labs
+name: financial_sentiment_model_1500_samples_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`financial_sentiment_model_1500_samples_pipeline` is a English model originally trained by kevinwlip.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/financial_sentiment_model_1500_samples_pipeline_en_5.5.0_3.0_1726719119424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/financial_sentiment_model_1500_samples_pipeline_en_5.5.0_3.0_1726719119424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("financial_sentiment_model_1500_samples_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("financial_sentiment_model_1500_samples_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|financial_sentiment_model_1500_samples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kevinwlip/financial-sentiment-model-1500-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finbert_netcashprovidedbyusedininvestingactivities_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finbert_netcashprovidedbyusedininvestingactivities_pipeline_en.md
new file mode 100644
index 00000000000000..6c819eea5c1090
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finbert_netcashprovidedbyusedininvestingactivities_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finbert_netcashprovidedbyusedininvestingactivities_pipeline pipeline DistilBertForSequenceClassification from lenguyen
+author: John Snow Labs
+name: finbert_netcashprovidedbyusedininvestingactivities_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finbert_netcashprovidedbyusedininvestingactivities_pipeline` is a English model originally trained by lenguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finbert_netcashprovidedbyusedininvestingactivities_pipeline_en_5.5.0_3.0_1726741163115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finbert_netcashprovidedbyusedininvestingactivities_pipeline_en_5.5.0_3.0_1726741163115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finbert_netcashprovidedbyusedininvestingactivities_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finbert_netcashprovidedbyusedininvestingactivities_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finbert_netcashprovidedbyusedininvestingactivities_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.0 MB|
+
+## References
+
+https://huggingface.co/lenguyen/finbert_NetCashProvidedByUsedInInvestingActivities
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finbert_revenuefromcontractwithcustomerexcludingassessedtax_en.md b/docs/_posts/ahmedlone127/2024-09-19-finbert_revenuefromcontractwithcustomerexcludingassessedtax_en.md
new file mode 100644
index 00000000000000..74869de1e87647
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finbert_revenuefromcontractwithcustomerexcludingassessedtax_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finbert_revenuefromcontractwithcustomerexcludingassessedtax DistilBertForSequenceClassification from lenguyen
+author: John Snow Labs
+name: finbert_revenuefromcontractwithcustomerexcludingassessedtax
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finbert_revenuefromcontractwithcustomerexcludingassessedtax` is a English model originally trained by lenguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finbert_revenuefromcontractwithcustomerexcludingassessedtax_en_5.5.0_3.0_1726741490485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finbert_revenuefromcontractwithcustomerexcludingassessedtax_en_5.5.0_3.0_1726741490485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finbert_revenuefromcontractwithcustomerexcludingassessedtax|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.9 MB|
+
+## References
+
+https://huggingface.co/lenguyen/finbert_RevenueFromContractWithCustomerExcludingAssessedTax
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline_en.md
new file mode 100644
index 00000000000000..ab5970684363c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline pipeline DistilBertForSequenceClassification from lenguyen
+author: John Snow Labs
+name: finbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline` is a English model originally trained by lenguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline_en_5.5.0_3.0_1726741510145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline_en_5.5.0_3.0_1726741510145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finbert_revenuefromcontractwithcustomerexcludingassessedtax_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.0 MB|
+
+## References
+
+https://huggingface.co/lenguyen/finbert_RevenueFromContractWithCustomerExcludingAssessedTax
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuned_demo_sagax_sagacis_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuned_demo_sagax_sagacis_en.md
new file mode 100644
index 00000000000000..08b93985284dcb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuned_demo_sagax_sagacis_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_demo_sagax_sagacis DistilBertForSequenceClassification from sagax-sagacis
+author: John Snow Labs
+name: finetuned_demo_sagax_sagacis
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_demo_sagax_sagacis` is a English model originally trained by sagax-sagacis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_demo_sagax_sagacis_en_5.5.0_3.0_1726763772341.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_demo_sagax_sagacis_en_5.5.0_3.0_1726763772341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_demo_sagax_sagacis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/sagax-sagacis/finetuned_demo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuned_fakenewsdetect_robertabasedl_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuned_fakenewsdetect_robertabasedl_en.md
new file mode 100644
index 00000000000000..e38ff3d515b84a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuned_fakenewsdetect_robertabasedl_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_fakenewsdetect_robertabasedl RoBertaForSequenceClassification from Johnson-Olakanmi
+author: John Snow Labs
+name: finetuned_fakenewsdetect_robertabasedl
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_fakenewsdetect_robertabasedl` is a English model originally trained by Johnson-Olakanmi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_fakenewsdetect_robertabasedl_en_5.5.0_3.0_1726750926432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_fakenewsdetect_robertabasedl_en_5.5.0_3.0_1726750926432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_fakenewsdetect_robertabasedl|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|458.5 MB|
+
+## References
+
+https://huggingface.co/Johnson-Olakanmi/finetuned_fakenewsDetect_RobertaBaseDL
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_covidsenti_bert_model_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_covidsenti_bert_model_en.md
new file mode 100644
index 00000000000000..30f25bdad659d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_covidsenti_bert_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_covidsenti_bert_model DistilBertForSequenceClassification from Letrica
+author: John Snow Labs
+name: finetuning_covidsenti_bert_model
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_covidsenti_bert_model` is a English model originally trained by Letrica.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_covidsenti_bert_model_en_5.5.0_3.0_1726763832636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_covidsenti_bert_model_en_5.5.0_3.0_1726763832636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_covidsenti_bert_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Letrica/finetuning-COVIDSenti-bert-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_distillbert_imdb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_distillbert_imdb_pipeline_en.md
new file mode 100644
index 00000000000000..d6d2bd9250ae18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_distillbert_imdb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_distillbert_imdb_pipeline pipeline DistilBertForSequenceClassification from kaustavbhattacharjee
+author: John Snow Labs
+name: finetuning_distillbert_imdb_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_distillbert_imdb_pipeline` is a English model originally trained by kaustavbhattacharjee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_distillbert_imdb_pipeline_en_5.5.0_3.0_1726742466111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_distillbert_imdb_pipeline_en_5.5.0_3.0_1726742466111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_distillbert_imdb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_distillbert_imdb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_distillbert_imdb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kaustavbhattacharjee/finetuning-DistillBERT-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_analysis_siebert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_analysis_siebert_pipeline_en.md
new file mode 100644
index 00000000000000..b7d065dfb47be7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_analysis_siebert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_analysis_siebert_pipeline pipeline RoBertaForSequenceClassification from aruca
+author: John Snow Labs
+name: finetuning_sentiment_analysis_siebert_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_analysis_siebert_pipeline` is a English model originally trained by aruca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_analysis_siebert_pipeline_en_5.5.0_3.0_1726726308079.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_analysis_siebert_pipeline_en_5.5.0_3.0_1726726308079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_analysis_siebert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_analysis_siebert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_analysis_siebert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/aruca/finetuning-sentiment-analysis-siebert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_8_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_8_pipeline_en.md
new file mode 100644
index 00000000000000..59ef2e9e0d2b5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_8_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_8_pipeline pipeline DistilBertForSequenceClassification from mamledes
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_8_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_8_pipeline` is a English model originally trained by mamledes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_8_pipeline_en_5.5.0_3.0_1726763435783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_8_pipeline_en_5.5.0_3.0_1726763435783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_8_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_8_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_8_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mamledes/finetuning-sentiment-model-3000-samples_8
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_abrario_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_abrario_pipeline_en.md
new file mode 100644
index 00000000000000..206d2991e5ceef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_abrario_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_abrario_pipeline pipeline DistilBertForSequenceClassification from abrario
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_abrario_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_abrario_pipeline` is a English model originally trained by abrario.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_abrario_pipeline_en_5.5.0_3.0_1726719162665.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_abrario_pipeline_en_5.5.0_3.0_1726719162665.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_abrario_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_abrario_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_abrario_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abrario/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_dantecesar3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_dantecesar3_pipeline_en.md
new file mode 100644
index 00000000000000..85a8db74596003
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_dantecesar3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_dantecesar3_pipeline pipeline DistilBertForSequenceClassification from dantecesar3
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_dantecesar3_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_dantecesar3_pipeline` is a English model originally trained by dantecesar3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dantecesar3_pipeline_en_5.5.0_3.0_1726704288268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dantecesar3_pipeline_en_5.5.0_3.0_1726704288268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_dantecesar3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_dantecesar3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_dantecesar3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dantecesar3/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_jamnik99_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_jamnik99_pipeline_en.md
new file mode 100644
index 00000000000000..ce33267a501239
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_jamnik99_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_jamnik99_pipeline pipeline DistilBertForSequenceClassification from jamnik99
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_jamnik99_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_jamnik99_pipeline` is a English model originally trained by jamnik99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jamnik99_pipeline_en_5.5.0_3.0_1726743212341.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_jamnik99_pipeline_en_5.5.0_3.0_1726743212341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_jamnik99_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_jamnik99_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_jamnik99_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jamnik99/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_nickomania_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_nickomania_en.md
new file mode 100644
index 00000000000000..1755fa81a0d520
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_nickomania_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_nickomania DistilBertForSequenceClassification from nickomania
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_nickomania
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nickomania` is a English model originally trained by nickomania.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nickomania_en_5.5.0_3.0_1726743424385.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nickomania_en_5.5.0_3.0_1726743424385.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_nickomania|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nickomania/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_nickomania_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_nickomania_pipeline_en.md
new file mode 100644
index 00000000000000..52185fb2310057
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_nickomania_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_nickomania_pipeline pipeline DistilBertForSequenceClassification from nickomania
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_nickomania_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nickomania_pipeline` is a English model originally trained by nickomania.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nickomania_pipeline_en_5.5.0_3.0_1726743443952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nickomania_pipeline_en_5.5.0_3.0_1726743443952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_nickomania_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_nickomania_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_nickomania_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nickomania/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_rjmrajababu_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_rjmrajababu_en.md
new file mode 100644
index 00000000000000..88beae3371db45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_rjmrajababu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_rjmrajababu DistilBertForSequenceClassification from RjmRajaBabu
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_rjmrajababu
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_rjmrajababu` is a English model originally trained by RjmRajaBabu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rjmrajababu_en_5.5.0_3.0_1726764054518.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rjmrajababu_en_5.5.0_3.0_1726764054518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_rjmrajababu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RjmRajaBabu/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_rjmrajababu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_rjmrajababu_pipeline_en.md
new file mode 100644
index 00000000000000..b6e6ae5651e391
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_3000_samples_rjmrajababu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_rjmrajababu_pipeline pipeline DistilBertForSequenceClassification from RjmRajaBabu
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_rjmrajababu_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_rjmrajababu_pipeline` is a English model originally trained by RjmRajaBabu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rjmrajababu_pipeline_en_5.5.0_3.0_1726764067358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_rjmrajababu_pipeline_en_5.5.0_3.0_1726764067358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_rjmrajababu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_rjmrajababu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_rjmrajababu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RjmRajaBabu/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_5000_amazon_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_5000_amazon_en.md
new file mode 100644
index 00000000000000..a7995d9b4c529a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_5000_amazon_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_5000_amazon DistilBertForSequenceClassification from abyesses
+author: John Snow Labs
+name: finetuning_sentiment_model_5000_amazon
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_5000_amazon` is a English model originally trained by abyesses.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_amazon_en_5.5.0_3.0_1726741473681.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_amazon_en_5.5.0_3.0_1726741473681.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_5000_amazon|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abyesses/finetuning-sentiment-model-5000-amazon
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_5000_amazon_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_5000_amazon_pipeline_en.md
new file mode 100644
index 00000000000000..304ed042ebdb15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_5000_amazon_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_5000_amazon_pipeline pipeline DistilBertForSequenceClassification from abyesses
+author: John Snow Labs
+name: finetuning_sentiment_model_5000_amazon_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_5000_amazon_pipeline` is a English model originally trained by abyesses.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_amazon_pipeline_en_5.5.0_3.0_1726741485848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_amazon_pipeline_en_5.5.0_3.0_1726741485848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_5000_amazon_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_5000_amazon_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_5000_amazon_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abyesses/finetuning-sentiment-model-5000-amazon
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_6000_samples_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_6000_samples_pipeline_en.md
new file mode 100644
index 00000000000000..3c44982542eec7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_6000_samples_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_6000_samples_pipeline pipeline DistilBertForSequenceClassification from WHL2001
+author: John Snow Labs
+name: finetuning_sentiment_model_6000_samples_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_6000_samples_pipeline` is a English model originally trained by WHL2001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_6000_samples_pipeline_en_5.5.0_3.0_1726763859965.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_6000_samples_pipeline_en_5.5.0_3.0_1726763859965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_6000_samples_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_6000_samples_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_6000_samples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/WHL2001/finetuning-sentiment-model-6000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_dscoder25_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_dscoder25_en.md
new file mode 100644
index 00000000000000..3ec216dfae21f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_dscoder25_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_dscoder25 DistilBertForSequenceClassification from dscoder25
+author: John Snow Labs
+name: finetuning_sentiment_model_dscoder25
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_dscoder25` is a English model originally trained by dscoder25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_dscoder25_en_5.5.0_3.0_1726742410446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_dscoder25_en_5.5.0_3.0_1726742410446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_dscoder25|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dscoder25/finetuning-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_dscoder25_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_dscoder25_pipeline_en.md
new file mode 100644
index 00000000000000..b34fee6c9c2cb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_dscoder25_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_dscoder25_pipeline pipeline DistilBertForSequenceClassification from dscoder25
+author: John Snow Labs
+name: finetuning_sentiment_model_dscoder25_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_dscoder25_pipeline` is a English model originally trained by dscoder25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_dscoder25_pipeline_en_5.5.0_3.0_1726742426963.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_dscoder25_pipeline_en_5.5.0_3.0_1726742426963.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_dscoder25_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_dscoder25_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_dscoder25_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dscoder25/finetuning-sentiment-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_imdb_3000_samples_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_imdb_3000_samples_pipeline_en.md
new file mode 100644
index 00000000000000..1edbbe32200bd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_imdb_3000_samples_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_imdb_3000_samples_pipeline pipeline DistilBertForSequenceClassification from akshataupadhye
+author: John Snow Labs
+name: finetuning_sentiment_model_imdb_3000_samples_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_imdb_3000_samples_pipeline` is a English model originally trained by akshataupadhye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_imdb_3000_samples_pipeline_en_5.5.0_3.0_1726743440603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_imdb_3000_samples_pipeline_en_5.5.0_3.0_1726743440603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_imdb_3000_samples_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_imdb_3000_samples_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_imdb_3000_samples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/akshataupadhye/finetuning-sentiment-model-imdb-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_lr_2e_05_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_lr_2e_05_en.md
new file mode 100644
index 00000000000000..d92e5f782599f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_lr_2e_05_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_lr_2e_05 DistilBertForSequenceClassification from ash-akjp-ga
+author: John Snow Labs
+name: finetuning_sentiment_model_lr_2e_05
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_lr_2e_05` is a English model originally trained by ash-akjp-ga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_lr_2e_05_en_5.5.0_3.0_1726743735188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_lr_2e_05_en_5.5.0_3.0_1726743735188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_lr_2e_05|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ash-akjp-ga/finetuning-sentiment-model_lr_2e-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_mnamon_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_mnamon_pipeline_en.md
new file mode 100644
index 00000000000000..7f8e28cb33a488
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_mnamon_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_mnamon_pipeline pipeline DistilBertForSequenceClassification from mnamon
+author: John Snow Labs
+name: finetuning_sentiment_model_mnamon_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_mnamon_pipeline` is a English model originally trained by mnamon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_mnamon_pipeline_en_5.5.0_3.0_1726704514397.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_mnamon_pipeline_en_5.5.0_3.0_1726704514397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_mnamon_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_mnamon_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_mnamon_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mnamon/finetuning-sentiment-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_reddit_3000_samples_en.md b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_reddit_3000_samples_en.md
new file mode 100644
index 00000000000000..c0c474094dd405
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-finetuning_sentiment_model_reddit_3000_samples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_reddit_3000_samples DistilBertForSequenceClassification from akshataupadhye
+author: John Snow Labs
+name: finetuning_sentiment_model_reddit_3000_samples
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_reddit_3000_samples` is a English model originally trained by akshataupadhye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_reddit_3000_samples_en_5.5.0_3.0_1726743640586.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_reddit_3000_samples_en_5.5.0_3.0_1726743640586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_reddit_3000_samples|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/akshataupadhye/finetuning-sentiment-model-reddit-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-flame_italian_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-19-flame_italian_pipeline_it.md
new file mode 100644
index 00000000000000..3942d3d0372e64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-flame_italian_pipeline_it.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Italian flame_italian_pipeline pipeline BertForSequenceClassification from aequa-tech
+author: John Snow Labs
+name: flame_italian_pipeline
+date: 2024-09-19
+tags: [it, open_source, pipeline, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`flame_italian_pipeline` is a Italian model originally trained by aequa-tech.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/flame_italian_pipeline_it_5.5.0_3.0_1726770876132.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/flame_italian_pipeline_it_5.5.0_3.0_1726770876132.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("flame_italian_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("flame_italian_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|flame_italian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|691.9 MB|
+
+## References
+
+https://huggingface.co/aequa-tech/flame-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-formalrobertalincoln_en.md b/docs/_posts/ahmedlone127/2024-09-19-formalrobertalincoln_en.md
new file mode 100644
index 00000000000000..edaf9b712c68c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-formalrobertalincoln_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English formalrobertalincoln RoBertaEmbeddings from BigSalmon
+author: John Snow Labs
+name: formalrobertalincoln
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`formalrobertalincoln` is a English model originally trained by BigSalmon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/formalrobertalincoln_en_5.5.0_3.0_1726778014154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/formalrobertalincoln_en_5.5.0_3.0_1726778014154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|formalrobertalincoln|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/BigSalmon/FormalRobertaLincoln
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-furina_seed42_eng_esp_hau_basic_5e_06_en.md b/docs/_posts/ahmedlone127/2024-09-19-furina_seed42_eng_esp_hau_basic_5e_06_en.md
new file mode 100644
index 00000000000000..1303671fb25b21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-furina_seed42_eng_esp_hau_basic_5e_06_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English furina_seed42_eng_esp_hau_basic_5e_06 XlmRoBertaForSequenceClassification from Shijia
+author: John Snow Labs
+name: furina_seed42_eng_esp_hau_basic_5e_06
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`furina_seed42_eng_esp_hau_basic_5e_06` is a English model originally trained by Shijia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_esp_hau_basic_5e_06_en_5.5.0_3.0_1726721613696.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_esp_hau_basic_5e_06_en_5.5.0_3.0_1726721613696.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|furina_seed42_eng_esp_hau_basic_5e_06|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/Shijia/furina_seed42_eng_esp_hau_basic_5e-06
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-gal_sayula_popoluca_iwcg_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-gal_sayula_popoluca_iwcg_3_pipeline_en.md
new file mode 100644
index 00000000000000..febde0f28afa55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-gal_sayula_popoluca_iwcg_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gal_sayula_popoluca_iwcg_3_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: gal_sayula_popoluca_iwcg_3_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gal_sayula_popoluca_iwcg_3_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gal_sayula_popoluca_iwcg_3_pipeline_en_5.5.0_3.0_1726711414753.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gal_sayula_popoluca_iwcg_3_pipeline_en_5.5.0_3.0_1726711414753.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gal_sayula_popoluca_iwcg_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gal_sayula_popoluca_iwcg_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gal_sayula_popoluca_iwcg_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|424.0 MB|
+
+## References
+
+https://huggingface.co/homersimpson/gal-pos-iwcg-3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-germanic_languages_qna_en.md b/docs/_posts/ahmedlone127/2024-09-19-germanic_languages_qna_en.md
new file mode 100644
index 00000000000000..214540acd8035b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-germanic_languages_qna_en.md
@@ -0,0 +1,92 @@
+---
+layout: model
+title: English germanic_languages_qna DistilBertForQuestionAnswering from zuu
+author: John Snow Labs
+name: germanic_languages_qna
+date: 2024-09-19
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`germanic_languages_qna` is a English model originally trained by zuu.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/germanic_languages_qna_en_5.5.0_3.0_1726727687765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/germanic_languages_qna_en_5.5.0_3.0_1726727687765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|germanic_languages_qna|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+References
+
+https://huggingface.co/zuu/gem-qna
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-hate_detect_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-19-hate_detect_distilbert_en.md
new file mode 100644
index 00000000000000..7d4efdaaa2dffc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-hate_detect_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_detect_distilbert DistilBertForSequenceClassification from vipulkumar49
+author: John Snow Labs
+name: hate_detect_distilbert
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_detect_distilbert` is a English model originally trained by vipulkumar49.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_detect_distilbert_en_5.5.0_3.0_1726743852217.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_detect_distilbert_en_5.5.0_3.0_1726743852217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_detect_distilbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vipulkumar49/hate_detect_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-hate_hate_random0_seed2_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-19-hate_hate_random0_seed2_roberta_base_en.md
new file mode 100644
index 00000000000000..8f43d972e52070
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-hate_hate_random0_seed2_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_random0_seed2_roberta_base RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random0_seed2_roberta_base
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random0_seed2_roberta_base` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random0_seed2_roberta_base_en_5.5.0_3.0_1726732500404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random0_seed2_roberta_base_en_5.5.0_3.0_1726732500404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hausa_sentiment_analysis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ha|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Kumshe/Hausa-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-hausa_sentiment_analysis_pipeline_ha.md b/docs/_posts/ahmedlone127/2024-09-19-hausa_sentiment_analysis_pipeline_ha.md
new file mode 100644
index 00000000000000..ada00bc7e8c956
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-hausa_sentiment_analysis_pipeline_ha.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Hausa hausa_sentiment_analysis_pipeline pipeline BertForSequenceClassification from Kumshe
+author: John Snow Labs
+name: hausa_sentiment_analysis_pipeline
+date: 2024-09-19
+tags: [ha, open_source, pipeline, onnx]
+task: Text Classification
+language: ha
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hausa_sentiment_analysis_pipeline` is a Hausa model originally trained by Kumshe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hausa_sentiment_analysis_pipeline_ha_5.5.0_3.0_1726736507386.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hausa_sentiment_analysis_pipeline_ha_5.5.0_3.0_1726736507386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hausa_sentiment_analysis_pipeline", lang = "ha")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hausa_sentiment_analysis_pipeline", lang = "ha")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hausa_sentiment_analysis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ha|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Kumshe/Hausa-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-hupd_distilbert_2023_02_16_13_20_en.md b/docs/_posts/ahmedlone127/2024-09-19-hupd_distilbert_2023_02_16_13_20_en.md
new file mode 100644
index 00000000000000..fa34d1d5fa84a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-hupd_distilbert_2023_02_16_13_20_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hupd_distilbert_2023_02_16_13_20 RoBertaForSequenceClassification from leeju
+author: John Snow Labs
+name: hupd_distilbert_2023_02_16_13_20
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hupd_distilbert_2023_02_16_13_20` is a English model originally trained by leeju.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hupd_distilbert_2023_02_16_13_20_en_5.5.0_3.0_1726751046189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hupd_distilbert_2023_02_16_13_20_en_5.5.0_3.0_1726751046189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hupd_distilbert_2023_02_16_13_20|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|312.3 MB|
+
+## References
+
+https://huggingface.co/leeju/HUPD_distilbert_2023-02-16_13-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-hw001_lastsmile_en.md b/docs/_posts/ahmedlone127/2024-09-19-hw001_lastsmile_en.md
new file mode 100644
index 00000000000000..fab12bad31020d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-hw001_lastsmile_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hw001_lastsmile DistilBertForSequenceClassification from LastSmile
+author: John Snow Labs
+name: hw001_lastsmile
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw001_lastsmile` is a English model originally trained by LastSmile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw001_lastsmile_en_5.5.0_3.0_1726719308297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw001_lastsmile_en_5.5.0_3.0_1726719308297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw001_lastsmile|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LastSmile/HW001
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-hw01_albertttt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-hw01_albertttt_pipeline_en.md
new file mode 100644
index 00000000000000..0beb5226cb73fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-hw01_albertttt_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hw01_albertttt_pipeline pipeline DistilBertForSequenceClassification from albertttt
+author: John Snow Labs
+name: hw01_albertttt_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw01_albertttt_pipeline` is a English model originally trained by albertttt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw01_albertttt_pipeline_en_5.5.0_3.0_1726764101999.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw01_albertttt_pipeline_en_5.5.0_3.0_1726764101999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hw01_albertttt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hw01_albertttt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw01_albertttt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/albertttt/HW01
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-icf_domains_nl.md b/docs/_posts/ahmedlone127/2024-09-19-icf_domains_nl.md
new file mode 100644
index 00000000000000..ea5919ad5b1c8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-icf_domains_nl.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Dutch, Flemish icf_domains RoBertaForSequenceClassification from CLTL
+author: John Snow Labs
+name: icf_domains
+date: 2024-09-19
+tags: [nl, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: nl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`icf_domains` is a Dutch, Flemish model originally trained by CLTL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/icf_domains_nl_5.5.0_3.0_1726726043979.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/icf_domains_nl_5.5.0_3.0_1726726043979.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|icf_domains|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|nl|
+|Size:|472.0 MB|
+
+## References
+
+https://huggingface.co/CLTL/icf-domains
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-imdb_binary_classifier_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-imdb_binary_classifier_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..b43c4b28f0ed21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-imdb_binary_classifier_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English imdb_binary_classifier_roberta_base_pipeline pipeline RoBertaForSequenceClassification from againeureka
+author: John Snow Labs
+name: imdb_binary_classifier_roberta_base_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_binary_classifier_roberta_base_pipeline` is a English model originally trained by againeureka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_binary_classifier_roberta_base_pipeline_en_5.5.0_3.0_1726725858512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_binary_classifier_roberta_base_pipeline_en_5.5.0_3.0_1726725858512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imdb_binary_classifier_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imdb_binary_classifier_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_binary_classifier_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.2 MB|
+
+## References
+
+https://huggingface.co/againeureka/imdb_binary_classifier_roberta_base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-imdbreviews_classification_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-19-imdbreviews_classification_roberta_base_en.md
new file mode 100644
index 00000000000000..f7e73990132deb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-imdbreviews_classification_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English imdbreviews_classification_roberta_base RoBertaForSequenceClassification from JmGarzonv
+author: John Snow Labs
+name: imdbreviews_classification_roberta_base
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_roberta_base` is a English model originally trained by JmGarzonv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_roberta_base_en_5.5.0_3.0_1726779864207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_roberta_base_en_5.5.0_3.0_1726779864207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdbreviews_classification_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|463.8 MB|
+
+## References
+
+https://huggingface.co/JmGarzonv/imdbreviews_classification_roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-imdbreviews_classification_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-imdbreviews_classification_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..2f8737fc6e6046
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-imdbreviews_classification_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English imdbreviews_classification_roberta_base_pipeline pipeline RoBertaForSequenceClassification from JmGarzonv
+author: John Snow Labs
+name: imdbreviews_classification_roberta_base_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_roberta_base_pipeline` is a English model originally trained by JmGarzonv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_roberta_base_pipeline_en_5.5.0_3.0_1726779888587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_roberta_base_pipeline_en_5.5.0_3.0_1726779888587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imdbreviews_classification_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imdbreviews_classification_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdbreviews_classification_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.9 MB|
+
+## References
+
+https://huggingface.co/JmGarzonv/imdbreviews_classification_roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-insta_sentiment_distill_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-19-insta_sentiment_distill_roberta_en.md
new file mode 100644
index 00000000000000..0cbfcb6f0c8221
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-insta_sentiment_distill_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English insta_sentiment_distill_roberta RoBertaForSequenceClassification from davin45
+author: John Snow Labs
+name: insta_sentiment_distill_roberta
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`insta_sentiment_distill_roberta` is a English model originally trained by davin45.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/insta_sentiment_distill_roberta_en_5.5.0_3.0_1726732696995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/insta_sentiment_distill_roberta_en_5.5.0_3.0_1726732696995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|insta_sentiment_distill_roberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/davin45/insta-sentiment-distill-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-insta_sentiment_distill_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-insta_sentiment_distill_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..3bc30711317ba4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-insta_sentiment_distill_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English insta_sentiment_distill_roberta_pipeline pipeline RoBertaForSequenceClassification from davin45
+author: John Snow Labs
+name: insta_sentiment_distill_roberta_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`insta_sentiment_distill_roberta_pipeline` is a English model originally trained by davin45.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/insta_sentiment_distill_roberta_pipeline_en_5.5.0_3.0_1726732711769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/insta_sentiment_distill_roberta_pipeline_en_5.5.0_3.0_1726732711769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("insta_sentiment_distill_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("insta_sentiment_distill_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|insta_sentiment_distill_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.1 MB|
+
+## References
+
+https://huggingface.co/davin45/insta-sentiment-distill-roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-intercalado_id23_en.md b/docs/_posts/ahmedlone127/2024-09-19-intercalado_id23_en.md
new file mode 100644
index 00000000000000..93f564fe1a91aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-intercalado_id23_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English intercalado_id23 DistilBertForSequenceClassification from manarea
+author: John Snow Labs
+name: intercalado_id23
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intercalado_id23` is a English model originally trained by manarea.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intercalado_id23_en_5.5.0_3.0_1726740809802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intercalado_id23_en_5.5.0_3.0_1726740809802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intercalado_id23|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|223.0 MB|
+
+## References
+
+https://huggingface.co/manarea/Intercalado-ID23
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-just_another_emotion_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-19-just_another_emotion_classifier_en.md
new file mode 100644
index 00000000000000..48d111964134d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-just_another_emotion_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English just_another_emotion_classifier BertForSequenceClassification from bdotloh
+author: John Snow Labs
+name: just_another_emotion_classifier
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`just_another_emotion_classifier` is a English model originally trained by bdotloh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/just_another_emotion_classifier_en_5.5.0_3.0_1726707131531.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/just_another_emotion_classifier_en_5.5.0_3.0_1726707131531.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|just_another_emotion_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.1 MB|
+
+## References
+
+https://huggingface.co/bdotloh/just-another-emotion-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-khmer_sentence_segmentation_en.md b/docs/_posts/ahmedlone127/2024-09-19-khmer_sentence_segmentation_en.md
new file mode 100644
index 00000000000000..a5db4aa56d9159
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-khmer_sentence_segmentation_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English khmer_sentence_segmentation XlmRoBertaForTokenClassification from seanghay
+author: John Snow Labs
+name: khmer_sentence_segmentation
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`khmer_sentence_segmentation` is a English model originally trained by seanghay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/khmer_sentence_segmentation_en_5.5.0_3.0_1726737888102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/khmer_sentence_segmentation_en_5.5.0_3.0_1726737888102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|khmer_sentence_segmentation|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|838.6 MB|
+
+## References
+
+https://huggingface.co/seanghay/khmer-sentence-segmentation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-khmer_sentence_segmentation_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-khmer_sentence_segmentation_pipeline_en.md
new file mode 100644
index 00000000000000..246f6e6565453d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-khmer_sentence_segmentation_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English khmer_sentence_segmentation_pipeline pipeline XlmRoBertaForTokenClassification from seanghay
+author: John Snow Labs
+name: khmer_sentence_segmentation_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`khmer_sentence_segmentation_pipeline` is a English model originally trained by seanghay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/khmer_sentence_segmentation_pipeline_en_5.5.0_3.0_1726737956234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/khmer_sentence_segmentation_pipeline_en_5.5.0_3.0_1726737956234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("khmer_sentence_segmentation_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("khmer_sentence_segmentation_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|khmer_sentence_segmentation_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|838.6 MB|
+
+## References
+
+https://huggingface.co/seanghay/khmer-sentence-segmentation
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-lang_transcribe_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-19-lang_transcribe_pipeline_hi.md
new file mode 100644
index 00000000000000..1c11305f82f072
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-lang_transcribe_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi lang_transcribe_pipeline pipeline WhisperForCTC from bimamuhammad
+author: John Snow Labs
+name: lang_transcribe_pipeline
+date: 2024-09-19
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lang_transcribe_pipeline` is a Hindi model originally trained by bimamuhammad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lang_transcribe_pipeline_hi_5.5.0_3.0_1726715371821.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lang_transcribe_pipeline_hi_5.5.0_3.0_1726715371821.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lang_transcribe_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lang_transcribe_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lang_transcribe_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/bimamuhammad/lang_transcribe
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-legal_base_v1_5__checkpoint_last_en.md b/docs/_posts/ahmedlone127/2024-09-19-legal_base_v1_5__checkpoint_last_en.md
new file mode 100644
index 00000000000000..2dd4e65688ce51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-legal_base_v1_5__checkpoint_last_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English legal_base_v1_5__checkpoint_last RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: legal_base_v1_5__checkpoint_last
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_base_v1_5__checkpoint_last` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_base_v1_5__checkpoint_last_en_5.5.0_3.0_1726747763871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_base_v1_5__checkpoint_last_en_5.5.0_3.0_1726747763871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_base_v1_5__checkpoint_last|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|296.3 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/legal_base_v1_5__checkpoint_last
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-legal_base_v1_5__checkpoint_last_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-legal_base_v1_5__checkpoint_last_pipeline_en.md
new file mode 100644
index 00000000000000..9dfbf279b59061
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-legal_base_v1_5__checkpoint_last_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English legal_base_v1_5__checkpoint_last_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: legal_base_v1_5__checkpoint_last_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_base_v1_5__checkpoint_last_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_base_v1_5__checkpoint_last_pipeline_en_5.5.0_3.0_1726747852710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_base_v1_5__checkpoint_last_pipeline_en_5.5.0_3.0_1726747852710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("legal_base_v1_5__checkpoint_last_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("legal_base_v1_5__checkpoint_last_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_base_v1_5__checkpoint_last_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|296.3 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/legal_base_v1_5__checkpoint_last
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-maghriberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-maghriberta_pipeline_en.md
new file mode 100644
index 00000000000000..807b9d87bc7471
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-maghriberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English maghriberta_pipeline pipeline RoBertaEmbeddings from nboudad
+author: John Snow Labs
+name: maghriberta_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`maghriberta_pipeline` is a English model originally trained by nboudad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/maghriberta_pipeline_en_5.5.0_3.0_1726747072905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maghriberta_pipeline_en_5.5.0_3.0_1726747072905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("maghriberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("maghriberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maghriberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|346.6 MB|
+
+## References
+
+https://huggingface.co/nboudad/Maghriberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-magpie_portuguese_xlm_en.md b/docs/_posts/ahmedlone127/2024-09-19-magpie_portuguese_xlm_en.md
new file mode 100644
index 00000000000000..1376ea1bc8d364
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-magpie_portuguese_xlm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English magpie_portuguese_xlm XlmRoBertaForSequenceClassification from mediabiasgroup
+author: John Snow Labs
+name: magpie_portuguese_xlm
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`magpie_portuguese_xlm` is a English model originally trained by mediabiasgroup.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/magpie_portuguese_xlm_en_5.5.0_3.0_1726720712337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/magpie_portuguese_xlm_en_5.5.0_3.0_1726720712337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|magpie_portuguese_xlm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|878.8 MB|
+
+## References
+
+https://huggingface.co/mediabiasgroup/magpie-pt-xlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-magpie_portuguese_xlm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-magpie_portuguese_xlm_pipeline_en.md
new file mode 100644
index 00000000000000..f7c5f0075fb3b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-magpie_portuguese_xlm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English magpie_portuguese_xlm_pipeline pipeline XlmRoBertaForSequenceClassification from mediabiasgroup
+author: John Snow Labs
+name: magpie_portuguese_xlm_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`magpie_portuguese_xlm_pipeline` is a English model originally trained by mediabiasgroup.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/magpie_portuguese_xlm_pipeline_en_5.5.0_3.0_1726720798472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/magpie_portuguese_xlm_pipeline_en_5.5.0_3.0_1726720798472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("magpie_portuguese_xlm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("magpie_portuguese_xlm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|magpie_portuguese_xlm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|878.8 MB|
+
+## References
+
+https://huggingface.co/mediabiasgroup/magpie-pt-xlm
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-marathi_marh_small_whisper_oi_pipeline_mr.md b/docs/_posts/ahmedlone127/2024-09-19-marathi_marh_small_whisper_oi_pipeline_mr.md
new file mode 100644
index 00000000000000..fd64448a01968e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-marathi_marh_small_whisper_oi_pipeline_mr.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Marathi marathi_marh_small_whisper_oi_pipeline pipeline WhisperForCTC from simran14
+author: John Snow Labs
+name: marathi_marh_small_whisper_oi_pipeline
+date: 2024-09-19
+tags: [mr, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: mr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marathi_marh_small_whisper_oi_pipeline` is a Marathi model originally trained by simran14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_marh_small_whisper_oi_pipeline_mr_5.5.0_3.0_1726713128040.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_marh_small_whisper_oi_pipeline_mr_5.5.0_3.0_1726713128040.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marathi_marh_small_whisper_oi_pipeline", lang = "mr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marathi_marh_small_whisper_oi_pipeline", lang = "mr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_marh_small_whisper_oi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mr|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/simran14/mr-small-whisper-oi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-mdt_ie_ner_baseline_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-mdt_ie_ner_baseline_pipeline_en.md
new file mode 100644
index 00000000000000..0bafcc9ace8530
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-mdt_ie_ner_baseline_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mdt_ie_ner_baseline_pipeline pipeline XlmRoBertaForTokenClassification from OSainz
+author: John Snow Labs
+name: mdt_ie_ner_baseline_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mdt_ie_ner_baseline_pipeline` is a English model originally trained by OSainz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mdt_ie_ner_baseline_pipeline_en_5.5.0_3.0_1726754764234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mdt_ie_ner_baseline_pipeline_en_5.5.0_3.0_1726754764234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mdt_ie_ner_baseline_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mdt_ie_ner_baseline_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mdt_ie_ner_baseline_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|789.5 MB|
+
+## References
+
+https://huggingface.co/OSainz/mdt-ie-ner-baseline
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-model_name_jenniferlimpopo_en.md b/docs/_posts/ahmedlone127/2024-09-19-model_name_jenniferlimpopo_en.md
new file mode 100644
index 00000000000000..4da5fe2848c03d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-model_name_jenniferlimpopo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_name_jenniferlimpopo DistilBertForSequenceClassification from Jenniferlimpopo
+author: John Snow Labs
+name: model_name_jenniferlimpopo
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_name_jenniferlimpopo` is a English model originally trained by Jenniferlimpopo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_name_jenniferlimpopo_en_5.5.0_3.0_1726719089884.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_name_jenniferlimpopo_en_5.5.0_3.0_1726719089884.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_name_jenniferlimpopo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Jenniferlimpopo/model_name
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-movie_overview_classification_en.md b/docs/_posts/ahmedlone127/2024-09-19-movie_overview_classification_en.md
new file mode 100644
index 00000000000000..06cf3d7d55a108
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-movie_overview_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English movie_overview_classification DistilBertForSequenceClassification from mocboch
+author: John Snow Labs
+name: movie_overview_classification
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movie_overview_classification` is a English model originally trained by mocboch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_overview_classification_en_5.5.0_3.0_1726741114905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_overview_classification_en_5.5.0_3.0_1726741114905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_overview_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mocboch/movie_overview_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-ndd_claroline_test_tags_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-ndd_claroline_test_tags_pipeline_en.md
new file mode 100644
index 00000000000000..e444da9ef38fee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-ndd_claroline_test_tags_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ndd_claroline_test_tags_pipeline pipeline DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: ndd_claroline_test_tags_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ndd_claroline_test_tags_pipeline` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ndd_claroline_test_tags_pipeline_en_5.5.0_3.0_1726742426946.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ndd_claroline_test_tags_pipeline_en_5.5.0_3.0_1726742426946.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ndd_claroline_test_tags_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ndd_claroline_test_tags_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ndd_claroline_test_tags_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/NDD-claroline_test-tags
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random1_seed1_twitter_roberta_large_2022_154m_en.md b/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random1_seed1_twitter_roberta_large_2022_154m_en.md
new file mode 100644
index 00000000000000..126c1397aeaa21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-nerd_nerd_random1_seed1_twitter_roberta_large_2022_154m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nerd_nerd_random1_seed1_twitter_roberta_large_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random1_seed1_twitter_roberta_large_2022_154m
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random1_seed1_twitter_roberta_large_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed1_twitter_roberta_large_2022_154m_en_5.5.0_3.0_1726732884708.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed1_twitter_roberta_large_2022_154m_en_5.5.0_3.0_1726732884708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random1_seed1_twitter_roberta_large_2022_154m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random1_seed1-twitter-roberta-large-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-neuronale_crew_a6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-neuronale_crew_a6_pipeline_en.md
new file mode 100644
index 00000000000000..655ccade27ebcb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-neuronale_crew_a6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English neuronale_crew_a6_pipeline pipeline DistilBertForSequenceClassification from ninjeanne-hka
+author: John Snow Labs
+name: neuronale_crew_a6_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`neuronale_crew_a6_pipeline` is a English model originally trained by ninjeanne-hka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/neuronale_crew_a6_pipeline_en_5.5.0_3.0_1726743552974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/neuronale_crew_a6_pipeline_en_5.5.0_3.0_1726743552974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("neuronale_crew_a6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("neuronale_crew_a6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|neuronale_crew_a6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ninjeanne-hka/neuronale_crew_a6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-nim_h_rivenb_nainizchii_klasufikaciya_en.md b/docs/_posts/ahmedlone127/2024-09-19-nim_h_rivenb_nainizchii_klasufikaciya_en.md
new file mode 100644
index 00000000000000..4faf45ae788c70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-nim_h_rivenb_nainizchii_klasufikaciya_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nim_h_rivenb_nainizchii_klasufikaciya DistilBertForSequenceClassification from yevhenkost
+author: John Snow Labs
+name: nim_h_rivenb_nainizchii_klasufikaciya
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nim_h_rivenb_nainizchii_klasufikaciya` is a English model originally trained by yevhenkost.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nim_h_rivenb_nainizchii_klasufikaciya_en_5.5.0_3.0_1726741242970.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nim_h_rivenb_nainizchii_klasufikaciya_en_5.5.0_3.0_1726741242970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nim_h_rivenb_nainizchii_klasufikaciya|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|255.4 MB|
+
+## References
+
+https://huggingface.co/yevhenkost/nim_h_rivenb_nainizchii_klasufikaciya
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-nim_h_rivenb_nainizchii_klasufikaciya_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-nim_h_rivenb_nainizchii_klasufikaciya_pipeline_en.md
new file mode 100644
index 00000000000000..4489119d36a3e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-nim_h_rivenb_nainizchii_klasufikaciya_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nim_h_rivenb_nainizchii_klasufikaciya_pipeline pipeline DistilBertForSequenceClassification from yevhenkost
+author: John Snow Labs
+name: nim_h_rivenb_nainizchii_klasufikaciya_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nim_h_rivenb_nainizchii_klasufikaciya_pipeline` is a English model originally trained by yevhenkost.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nim_h_rivenb_nainizchii_klasufikaciya_pipeline_en_5.5.0_3.0_1726741256817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nim_h_rivenb_nainizchii_klasufikaciya_pipeline_en_5.5.0_3.0_1726741256817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nim_h_rivenb_nainizchii_klasufikaciya_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nim_h_rivenb_nainizchii_klasufikaciya_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nim_h_rivenb_nainizchii_klasufikaciya_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|255.4 MB|
+
+## References
+
+https://huggingface.co/yevhenkost/nim_h_rivenb_nainizchii_klasufikaciya
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-notiberto_en.md b/docs/_posts/ahmedlone127/2024-09-19-notiberto_en.md
new file mode 100644
index 00000000000000..2f364248509a34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-notiberto_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English notiberto RoBertaEmbeddings from GioReg
+author: John Snow Labs
+name: notiberto
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`notiberto` is a English model originally trained by GioReg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/notiberto_en_5.5.0_3.0_1726778410768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/notiberto_en_5.5.0_3.0_1726778410768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|notiberto|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|311.0 MB|
+
+## References
+
+https://huggingface.co/GioReg/notiBERTo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-notiberto_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-notiberto_pipeline_en.md
new file mode 100644
index 00000000000000..9a8f6fe9a572a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-notiberto_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English notiberto_pipeline pipeline RoBertaEmbeddings from GioReg
+author: John Snow Labs
+name: notiberto_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`notiberto_pipeline` is a English model originally trained by GioReg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/notiberto_pipeline_en_5.5.0_3.0_1726778426256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/notiberto_pipeline_en_5.5.0_3.0_1726778426256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("notiberto_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("notiberto_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|notiberto_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|311.1 MB|
+
+## References
+
+https://huggingface.co/GioReg/notiBERTo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-nsina_category_sinbert_small_pipeline_si.md b/docs/_posts/ahmedlone127/2024-09-19-nsina_category_sinbert_small_pipeline_si.md
new file mode 100644
index 00000000000000..bcf19e0f998dd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-nsina_category_sinbert_small_pipeline_si.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Sinhala, Sinhalese nsina_category_sinbert_small_pipeline pipeline RoBertaForSequenceClassification from sinhala-nlp
+author: John Snow Labs
+name: nsina_category_sinbert_small_pipeline
+date: 2024-09-19
+tags: [si, open_source, pipeline, onnx]
+task: Text Classification
+language: si
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nsina_category_sinbert_small_pipeline` is a Sinhala, Sinhalese model originally trained by sinhala-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nsina_category_sinbert_small_pipeline_si_5.5.0_3.0_1726750944443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nsina_category_sinbert_small_pipeline_si_5.5.0_3.0_1726750944443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nsina_category_sinbert_small_pipeline", lang = "si")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nsina_category_sinbert_small_pipeline", lang = "si")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nsina_category_sinbert_small_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|si|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/sinhala-nlp/NSINA-Category-sinbert-small
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-nuner_v1_fewnerd_coarse_super_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-nuner_v1_fewnerd_coarse_super_pipeline_en.md
new file mode 100644
index 00000000000000..416129af2350d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-nuner_v1_fewnerd_coarse_super_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nuner_v1_fewnerd_coarse_super_pipeline pipeline RoBertaForTokenClassification from guishe
+author: John Snow Labs
+name: nuner_v1_fewnerd_coarse_super_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nuner_v1_fewnerd_coarse_super_pipeline` is a English model originally trained by guishe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nuner_v1_fewnerd_coarse_super_pipeline_en_5.5.0_3.0_1726730197447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nuner_v1_fewnerd_coarse_super_pipeline_en_5.5.0_3.0_1726730197447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nuner_v1_fewnerd_coarse_super_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nuner_v1_fewnerd_coarse_super_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nuner_v1_fewnerd_coarse_super_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|462.4 MB|
+
+## References
+
+https://huggingface.co/guishe/nuner-v1_fewnerd_coarse_super
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-odsc_sawyer_reward_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-odsc_sawyer_reward_pipeline_en.md
new file mode 100644
index 00000000000000..8d94982b0ef9c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-odsc_sawyer_reward_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English odsc_sawyer_reward_pipeline pipeline RoBertaForSequenceClassification from profoz
+author: John Snow Labs
+name: odsc_sawyer_reward_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`odsc_sawyer_reward_pipeline` is a English model originally trained by profoz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/odsc_sawyer_reward_pipeline_en_5.5.0_3.0_1726726250257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/odsc_sawyer_reward_pipeline_en_5.5.0_3.0_1726726250257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("odsc_sawyer_reward_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("odsc_sawyer_reward_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|odsc_sawyer_reward_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|462.2 MB|
+
+## References
+
+https://huggingface.co/profoz/odsc-sawyer-reward
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-openai_whisper_base_spanish_ecu911_pasobajo_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-19-openai_whisper_base_spanish_ecu911_pasobajo_pipeline_es.md
new file mode 100644
index 00000000000000..397a3c10326d95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-openai_whisper_base_spanish_ecu911_pasobajo_pipeline_es.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Castilian, Spanish openai_whisper_base_spanish_ecu911_pasobajo_pipeline pipeline WhisperForCTC from DanielMarquez
+author: John Snow Labs
+name: openai_whisper_base_spanish_ecu911_pasobajo_pipeline
+date: 2024-09-19
+tags: [es, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`openai_whisper_base_spanish_ecu911_pasobajo_pipeline` is a Castilian, Spanish model originally trained by DanielMarquez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/openai_whisper_base_spanish_ecu911_pasobajo_pipeline_es_5.5.0_3.0_1726714452253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/openai_whisper_base_spanish_ecu911_pasobajo_pipeline_es_5.5.0_3.0_1726714452253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("openai_whisper_base_spanish_ecu911_pasobajo_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("openai_whisper_base_spanish_ecu911_pasobajo_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|openai_whisper_base_spanish_ecu911_pasobajo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|615.7 MB|
+
+## References
+
+https://huggingface.co/DanielMarquez/openai-whisper-base-es_ecu911-PasoBajo
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-patent_ner_test_noisyocr_version_en.md b/docs/_posts/ahmedlone127/2024-09-19-patent_ner_test_noisyocr_version_en.md
new file mode 100644
index 00000000000000..5378722583dd4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-patent_ner_test_noisyocr_version_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English patent_ner_test_noisyocr_version RoBertaForTokenClassification from matthewleechen
+author: John Snow Labs
+name: patent_ner_test_noisyocr_version
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`patent_ner_test_noisyocr_version` is a English model originally trained by matthewleechen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/patent_ner_test_noisyocr_version_en_5.5.0_3.0_1726729583954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/patent_ner_test_noisyocr_version_en_5.5.0_3.0_1726729583954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|patent_ner_test_noisyocr_version|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/matthewleechen/patent_ner_test_noisyocr_version
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-platzi_distilroberta_base_mrpc_glue_andres_galvis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-platzi_distilroberta_base_mrpc_glue_andres_galvis_pipeline_en.md
new file mode 100644
index 00000000000000..315218ea3691b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-platzi_distilroberta_base_mrpc_glue_andres_galvis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_glue_andres_galvis_pipeline pipeline RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_glue_andres_galvis_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_mrpc_glue_andres_galvis_pipeline` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_andres_galvis_pipeline_en_5.5.0_3.0_1726751088130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_andres_galvis_pipeline_en_5.5.0_3.0_1726751088130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("platzi_distilroberta_base_mrpc_glue_andres_galvis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("platzi_distilroberta_base_mrpc_glue_andres_galvis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_glue_andres_galvis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/platzi/platzi-distilroberta-base-mrpc-glue-andres-galvis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-polarizer_roberta_large_en.md b/docs/_posts/ahmedlone127/2024-09-19-polarizer_roberta_large_en.md
new file mode 100644
index 00000000000000..1fc838daeb9785
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-polarizer_roberta_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English polarizer_roberta_large RoBertaEmbeddings from kyungmin011029
+author: John Snow Labs
+name: polarizer_roberta_large
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`polarizer_roberta_large` is a English model originally trained by kyungmin011029.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/polarizer_roberta_large_en_5.5.0_3.0_1726748968819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/polarizer_roberta_large_en_5.5.0_3.0_1726748968819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|polarizer_roberta_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/kyungmin011029/Polarizer-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-polarizer_roberta_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-polarizer_roberta_large_pipeline_en.md
new file mode 100644
index 00000000000000..bf315ff2443b1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-polarizer_roberta_large_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English polarizer_roberta_large_pipeline pipeline RoBertaEmbeddings from kyungmin011029
+author: John Snow Labs
+name: polarizer_roberta_large_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`polarizer_roberta_large_pipeline` is a English model originally trained by kyungmin011029.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/polarizer_roberta_large_pipeline_en_5.5.0_3.0_1726749034823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/polarizer_roberta_large_pipeline_en_5.5.0_3.0_1726749034823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("polarizer_roberta_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("polarizer_roberta_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|polarizer_roberta_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/kyungmin011029/Polarizer-roberta-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-projectsentimentalanalysis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-projectsentimentalanalysis_pipeline_en.md
new file mode 100644
index 00000000000000..c13ffc9855934e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-projectsentimentalanalysis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English projectsentimentalanalysis_pipeline pipeline DistilBertForSequenceClassification from Stevenchee
+author: John Snow Labs
+name: projectsentimentalanalysis_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`projectsentimentalanalysis_pipeline` is a English model originally trained by Stevenchee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/projectsentimentalanalysis_pipeline_en_5.5.0_3.0_1726744078648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/projectsentimentalanalysis_pipeline_en_5.5.0_3.0_1726744078648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("projectsentimentalanalysis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("projectsentimentalanalysis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|projectsentimentalanalysis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|248.5 MB|
+
+## References
+
+https://huggingface.co/Stevenchee/projectsentimentalanalysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-pubchem10m_smiles_bpe_450k_en.md b/docs/_posts/ahmedlone127/2024-09-19-pubchem10m_smiles_bpe_450k_en.md
new file mode 100644
index 00000000000000..891421afdb7410
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-pubchem10m_smiles_bpe_450k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English pubchem10m_smiles_bpe_450k RoBertaEmbeddings from seyonec
+author: John Snow Labs
+name: pubchem10m_smiles_bpe_450k
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pubchem10m_smiles_bpe_450k` is a English model originally trained by seyonec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pubchem10m_smiles_bpe_450k_en_5.5.0_3.0_1726778206617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pubchem10m_smiles_bpe_450k_en_5.5.0_3.0_1726778206617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pubchem10m_smiles_bpe_450k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|311.0 MB|
+
+## References
+
+https://huggingface.co/seyonec/PubChem10M_SMILES_BPE_450k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-repo_18_06_mlops_en.md b/docs/_posts/ahmedlone127/2024-09-19-repo_18_06_mlops_en.md
new file mode 100644
index 00000000000000..ee863f45676a01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-repo_18_06_mlops_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English repo_18_06_mlops DistilBertForSequenceClassification from AliMokh
+author: John Snow Labs
+name: repo_18_06_mlops
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`repo_18_06_mlops` is a English model originally trained by AliMokh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/repo_18_06_mlops_en_5.5.0_3.0_1726743090052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/repo_18_06_mlops_en_5.5.0_3.0_1726743090052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|repo_18_06_mlops|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AliMokh/repo-18-06-MLOps
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-repo_18_06_mlops_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-repo_18_06_mlops_pipeline_en.md
new file mode 100644
index 00000000000000..f36b6d32dee5b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-repo_18_06_mlops_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English repo_18_06_mlops_pipeline pipeline DistilBertForSequenceClassification from AliMokh
+author: John Snow Labs
+name: repo_18_06_mlops_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`repo_18_06_mlops_pipeline` is a English model originally trained by AliMokh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/repo_18_06_mlops_pipeline_en_5.5.0_3.0_1726743102484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/repo_18_06_mlops_pipeline_en_5.5.0_3.0_1726743102484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("repo_18_06_mlops_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("repo_18_06_mlops_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|repo_18_06_mlops_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AliMokh/repo-18-06-MLOps
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_ancient_greek_mlm_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_ancient_greek_mlm_en.md
new file mode 100644
index 00000000000000..f8d8ff3b3141e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_ancient_greek_mlm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_ancient_greek_mlm RoBertaEmbeddings from wantuta
+author: John Snow Labs
+name: roberta_ancient_greek_mlm
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_ancient_greek_mlm` is a English model originally trained by wantuta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_ancient_greek_mlm_en_5.5.0_3.0_1726747458258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_ancient_greek_mlm_en_5.5.0_3.0_1726747458258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_ancient_greek_mlm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/wantuta/roberta_ancient_greek_mlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_bne_finetuned_amazon_reviews_spanish_02_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_bne_finetuned_amazon_reviews_spanish_02_pipeline_en.md
new file mode 100644
index 00000000000000..8513fc1b8457b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_bne_finetuned_amazon_reviews_spanish_02_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_spanish_02_pipeline pipeline RoBertaForSequenceClassification from DevCar
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_spanish_02_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_spanish_02_pipeline` is a English model originally trained by DevCar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_spanish_02_pipeline_en_5.5.0_3.0_1726750899552.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_spanish_02_pipeline_en_5.5.0_3.0_1726750899552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_bne_finetuned_amazon_reviews_spanish_02_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_bne_finetuned_amazon_reviews_spanish_02_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_spanish_02_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|454.0 MB|
+
+## References
+
+https://huggingface.co/DevCar/roberta-base-bne-finetuned-amazon_reviews_es_02
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_bne_finetuned_tripadvisor_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_bne_finetuned_tripadvisor_pipeline_en.md
new file mode 100644
index 00000000000000..7cc0d629055a2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_bne_finetuned_tripadvisor_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_tripadvisor_pipeline pipeline RoBertaEmbeddings from vg055
+author: John Snow Labs
+name: roberta_base_bne_finetuned_tripadvisor_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_tripadvisor_pipeline` is a English model originally trained by vg055.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_tripadvisor_pipeline_en_5.5.0_3.0_1726747125273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_tripadvisor_pipeline_en_5.5.0_3.0_1726747125273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_bne_finetuned_tripadvisor_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_bne_finetuned_tripadvisor_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_tripadvisor_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.7 MB|
+
+## References
+
+https://huggingface.co/vg055/roberta-base-bne-finetuned-tripAdvisor
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_10_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_10_en.md
new file mode 100644
index 00000000000000..d5b2a6fa971354
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_epoch_10 RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_10
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_10` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_10_en_5.5.0_3.0_1726747298844.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_10_en_5.5.0_3.0_1726747298844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|297.0 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_10_pipeline_en.md
new file mode 100644
index 00000000000000..c741d0de63c698
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_10_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_10_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_10_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_10_pipeline_en_5.5.0_3.0_1726747388742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_10_pipeline_en_5.5.0_3.0_1726747388742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.0 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_10
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_13_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_13_en.md
new file mode 100644
index 00000000000000..7e2370f839a869
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_13_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_epoch_13 RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_13
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_13` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_13_en_5.5.0_3.0_1726747674915.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_13_en_5.5.0_3.0_1726747674915.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_13|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|297.1 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_13
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_13_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_13_pipeline_en.md
new file mode 100644
index 00000000000000..bf45742975b123
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_epoch_13_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_13_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_13_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_13_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_13_pipeline_en_5.5.0_3.0_1726747764936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_13_pipeline_en_5.5.0_3.0_1726747764936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_13_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_13_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_13_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.2 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_13
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_lower_fabric_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_lower_fabric_en.md
new file mode 100644
index 00000000000000..c4fa38d8887bbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_lower_fabric_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_lower_fabric RoBertaForSequenceClassification from Cournane
+author: John Snow Labs
+name: roberta_base_finetuned_lower_fabric
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_lower_fabric` is a English model originally trained by Cournane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_lower_fabric_en_5.5.0_3.0_1726732857587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_lower_fabric_en_5.5.0_3.0_1726732857587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_lower_fabric|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|427.2 MB|
+
+## References
+
+https://huggingface.co/Cournane/roberta-base-finetuned-Lower_fabric
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_pipeline_en.md
new file mode 100644
index 00000000000000..2d2bc81c66ffc4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_pipeline pipeline RoBertaForSequenceClassification from kghanlon
+author: John Snow Labs
+name: roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_pipeline` is a English model originally trained by kghanlon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_pipeline_en_5.5.0_3.0_1726726213948.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_pipeline_en_5.5.0_3.0_1726726213948.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_mp_unannotated_half_frozen_v1_rile_v1_frozen_8_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|358.0 MB|
+
+## References
+
+https://huggingface.co/kghanlon/roberta-base-finetuned-MP-unannotated-half-frozen-v1-RILE-v1_frozen_8
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_ner_minhminh09_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_ner_minhminh09_pipeline_en.md
new file mode 100644
index 00000000000000..2321ec8b44c64e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_ner_minhminh09_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_ner_minhminh09_pipeline pipeline RoBertaForTokenClassification from MinhMinh09
+author: John Snow Labs
+name: roberta_base_finetuned_ner_minhminh09_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_ner_minhminh09_pipeline` is a English model originally trained by MinhMinh09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_ner_minhminh09_pipeline_en_5.5.0_3.0_1726729963263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_ner_minhminh09_pipeline_en_5.5.0_3.0_1726729963263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_ner_minhminh09_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_ner_minhminh09_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_ner_minhminh09_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|419.0 MB|
+
+## References
+
+https://huggingface.co/MinhMinh09/roberta-base-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_wallisian_whisper_1ep_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_wallisian_whisper_1ep_en.md
new file mode 100644
index 00000000000000..bbb7d8d1cce1cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_finetuned_wallisian_whisper_1ep_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_wallisian_whisper_1ep RoBertaEmbeddings from btamm12
+author: John Snow Labs
+name: roberta_base_finetuned_wallisian_whisper_1ep
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_wallisian_whisper_1ep` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_wallisian_whisper_1ep_en_5.5.0_3.0_1726747692580.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_wallisian_whisper_1ep_en_5.5.0_3.0_1726747692580.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_wallisian_whisper_1ep|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.2 MB|
+
+## References
+
+https://huggingface.co/btamm12/roberta-base-finetuned-wls-whisper-1ep
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_genia_ner_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_genia_ner_en.md
new file mode 100644
index 00000000000000..1eccd9862b71c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_genia_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_genia_ner RoBertaForTokenClassification from CheccoCando
+author: John Snow Labs
+name: roberta_base_genia_ner
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_genia_ner` is a English model originally trained by CheccoCando.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_genia_ner_en_5.5.0_3.0_1726745762571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_genia_ner_en_5.5.0_3.0_1726745762571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_genia_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|436.0 MB|
+
+## References
+
+https://huggingface.co/CheccoCando/roberta-base_GENIA_NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_hoax_classifier_fulltext_1h2r_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_hoax_classifier_fulltext_1h2r_en.md
new file mode 100644
index 00000000000000..6e58370cf1afa4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_hoax_classifier_fulltext_1h2r_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_hoax_classifier_fulltext_1h2r RoBertaForSequenceClassification from research-dump
+author: John Snow Labs
+name: roberta_base_hoax_classifier_fulltext_1h2r
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_hoax_classifier_fulltext_1h2r` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_hoax_classifier_fulltext_1h2r_en_5.5.0_3.0_1726750303667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_hoax_classifier_fulltext_1h2r_en_5.5.0_3.0_1726750303667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_last_9_chars_acl2023|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.3 MB|
+
+## References
+
+https://huggingface.co/hitachi-nlp/roberta-base_last-9-chars_acl2023
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_last_9_chars_acl2023_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_last_9_chars_acl2023_pipeline_en.md
new file mode 100644
index 00000000000000..bf70ccc4f5b630
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_last_9_chars_acl2023_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_last_9_chars_acl2023_pipeline pipeline RoBertaEmbeddings from hitachi-nlp
+author: John Snow Labs
+name: roberta_base_last_9_chars_acl2023_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_last_9_chars_acl2023_pipeline` is a English model originally trained by hitachi-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_last_9_chars_acl2023_pipeline_en_5.5.0_3.0_1726747706664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_last_9_chars_acl2023_pipeline_en_5.5.0_3.0_1726747706664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_last_9_chars_acl2023_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_last_9_chars_acl2023_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_last_9_chars_acl2023_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.3 MB|
+
+## References
+
+https://huggingface.co/hitachi-nlp/roberta-base_last-9-chars_acl2023
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_ner_akramhec_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_ner_akramhec_pipeline_en.md
new file mode 100644
index 00000000000000..203c782f33cae5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_ner_akramhec_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_ner_akramhec_pipeline pipeline RoBertaForTokenClassification from AkramHec
+author: John Snow Labs
+name: roberta_base_ner_akramhec_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ner_akramhec_pipeline` is a English model originally trained by AkramHec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ner_akramhec_pipeline_en_5.5.0_3.0_1726730094657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ner_akramhec_pipeline_en_5.5.0_3.0_1726730094657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_ner_akramhec_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_ner_akramhec_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ner_akramhec_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|431.4 MB|
+
+## References
+
+https://huggingface.co/AkramHec/roberta-base-NER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_ontonotes_pitangent_ds_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_ontonotes_pitangent_ds_en.md
new file mode 100644
index 00000000000000..7d18fa92b08154
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_ontonotes_pitangent_ds_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_ontonotes_pitangent_ds RoBertaForTokenClassification from pitangent-ds
+author: John Snow Labs
+name: roberta_base_ontonotes_pitangent_ds
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ontonotes_pitangent_ds` is a English model originally trained by pitangent-ds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ontonotes_pitangent_ds_en_5.5.0_3.0_1726729650008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ontonotes_pitangent_ds_en_5.5.0_3.0_1726729650008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_swedish_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|470.2 MB|
+
+## References
+
+https://huggingface.co/KBLab/roberta-base-swedish-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_swedish_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_swedish_cased_pipeline_en.md
new file mode 100644
index 00000000000000..3b0250d9841f9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_swedish_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_swedish_cased_pipeline pipeline RoBertaEmbeddings from KBLab
+author: John Snow Labs
+name: roberta_base_swedish_cased_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_swedish_cased_pipeline` is a English model originally trained by KBLab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_swedish_cased_pipeline_en_5.5.0_3.0_1726778041795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_swedish_cased_pipeline_en_5.5.0_3.0_1726778041795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_swedish_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_swedish_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_swedish_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|470.2 MB|
+
+## References
+
+https://huggingface.co/KBLab/roberta-base-swedish-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_base_xshubhamx_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_xshubhamx_en.md
new file mode 100644
index 00000000000000..ea8b300ac4b1d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_base_xshubhamx_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_xshubhamx RoBertaForSequenceClassification from xshubhamx
+author: John Snow Labs
+name: roberta_base_xshubhamx
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_xshubhamx` is a English model originally trained by xshubhamx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_xshubhamx_en_5.5.0_3.0_1726725747560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_xshubhamx_en_5.5.0_3.0_1726725747560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_xshubhamx|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|442.4 MB|
+
+## References
+
+https://huggingface.co/xshubhamx/roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_combined_generated_epoch_6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_combined_generated_epoch_6_pipeline_en.md
new file mode 100644
index 00000000000000..b7f6b693b58809
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_combined_generated_epoch_6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_combined_generated_epoch_6_pipeline pipeline RoBertaForTokenClassification from ICT2214Team7
+author: John Snow Labs
+name: roberta_combined_generated_epoch_6_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_combined_generated_epoch_6_pipeline` is a English model originally trained by ICT2214Team7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_epoch_6_pipeline_en_5.5.0_3.0_1726731061230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_epoch_6_pipeline_en_5.5.0_3.0_1726731061230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_combined_generated_epoch_6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_combined_generated_epoch_6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_combined_generated_epoch_6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/ICT2214Team7/RoBERTa_Combined_Generated_epoch_6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_combined_generated_v1_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_combined_generated_v1_1_pipeline_en.md
new file mode 100644
index 00000000000000..3a5b855c3564a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_combined_generated_v1_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_combined_generated_v1_1_pipeline pipeline RoBertaForTokenClassification from ICT2214Team7
+author: John Snow Labs
+name: roberta_combined_generated_v1_1_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_combined_generated_v1_1_pipeline` is a English model originally trained by ICT2214Team7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_v1_1_pipeline_en_5.5.0_3.0_1726722944610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_combined_generated_v1_1_pipeline_en_5.5.0_3.0_1726722944610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_combined_generated_v1_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_combined_generated_v1_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_combined_generated_v1_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/ICT2214Team7/RoBERTa_Combined_Generated_v1.1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_covid_sentimental_analysis_classifier_1_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_covid_sentimental_analysis_classifier_1_en.md
new file mode 100644
index 00000000000000..1dd0ff4e1904d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_covid_sentimental_analysis_classifier_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_covid_sentimental_analysis_classifier_1 RoBertaForSequenceClassification from gyesibiney
+author: John Snow Labs
+name: roberta_covid_sentimental_analysis_classifier_1
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_covid_sentimental_analysis_classifier_1` is a English model originally trained by gyesibiney.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_covid_sentimental_analysis_classifier_1_en_5.5.0_3.0_1726750299660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_covid_sentimental_analysis_classifier_1_en_5.5.0_3.0_1726750299660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_bne_ctebmsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/IIC/roberta-large-bne-ctebmsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_large_earnings21_non_normalized_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_earnings21_non_normalized_pipeline_en.md
new file mode 100644
index 00000000000000..75b925fcd5235c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_earnings21_non_normalized_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_earnings21_non_normalized_pipeline pipeline RoBertaForTokenClassification from anonymoussubmissions
+author: John Snow Labs
+name: roberta_large_earnings21_non_normalized_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_earnings21_non_normalized_pipeline` is a English model originally trained by anonymoussubmissions.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_earnings21_non_normalized_pipeline_en_5.5.0_3.0_1726745541047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_earnings21_non_normalized_pipeline_en_5.5.0_3.0_1726745541047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_earnings21_non_normalized_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_earnings21_non_normalized_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_earnings21_non_normalized_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/anonymoussubmissions/roberta-large-earnings21-non-normalized
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_large_full_finetuned_ner_single_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_full_finetuned_ner_single_pipeline_en.md
new file mode 100644
index 00000000000000..4d1f49311062ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_full_finetuned_ner_single_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_full_finetuned_ner_single_pipeline pipeline RoBertaForTokenClassification from DDDacc
+author: John Snow Labs
+name: roberta_large_full_finetuned_ner_single_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_full_finetuned_ner_single_pipeline` is a English model originally trained by DDDacc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_full_finetuned_ner_single_pipeline_en_5.5.0_3.0_1726745765065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_full_finetuned_ner_single_pipeline_en_5.5.0_3.0_1726745765065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_full_finetuned_ner_single_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_full_finetuned_ner_single_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_full_finetuned_ner_single_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/DDDacc/RoBERTa-Large-full-finetuned-ner-single
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_pipeline_en.md
new file mode 100644
index 00000000000000..8ee3b7cbc016ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_pipeline pipeline RoBertaForTokenClassification from maple
+author: John Snow Labs
+name: roberta_large_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_pipeline` is a English model originally trained by maple.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_pipeline_en_5.5.0_3.0_1726730913039.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_pipeline_en_5.5.0_3.0_1726730913039.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/maple/roberta-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_persian_farsi_zwnj_base_v1_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_persian_farsi_zwnj_base_v1_en.md
new file mode 100644
index 00000000000000..b4794d79636165
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_persian_farsi_zwnj_base_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_persian_farsi_zwnj_base_v1 RoBertaForSequenceClassification from soltaniali
+author: John Snow Labs
+name: roberta_persian_farsi_zwnj_base_v1
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_persian_farsi_zwnj_base_v1` is a English model originally trained by soltaniali.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_persian_farsi_zwnj_base_v1_en_5.5.0_3.0_1726733346800.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_persian_farsi_zwnj_base_v1_en_5.5.0_3.0_1726733346800.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_poetry_sadness_crpo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/andreipb/roberta-poetry-sadness-crpo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_poetry_sadness_crpo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_poetry_sadness_crpo_pipeline_en.md
new file mode 100644
index 00000000000000..4801fdee514959
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_poetry_sadness_crpo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_poetry_sadness_crpo_pipeline pipeline RoBertaEmbeddings from andreipb
+author: John Snow Labs
+name: roberta_poetry_sadness_crpo_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_poetry_sadness_crpo_pipeline` is a English model originally trained by andreipb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_poetry_sadness_crpo_pipeline_en_5.5.0_3.0_1726778341641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_poetry_sadness_crpo_pipeline_en_5.5.0_3.0_1726778341641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_poetry_sadness_crpo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_poetry_sadness_crpo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_poetry_sadness_crpo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/andreipb/roberta-poetry-sadness-crpo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_sayula_popoluca_tagging_hosnahoseini_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_sayula_popoluca_tagging_hosnahoseini_pipeline_en.md
new file mode 100644
index 00000000000000..06878647989adf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_sayula_popoluca_tagging_hosnahoseini_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_sayula_popoluca_tagging_hosnahoseini_pipeline pipeline RoBertaForTokenClassification from hosnahoseini
+author: John Snow Labs
+name: roberta_sayula_popoluca_tagging_hosnahoseini_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_sayula_popoluca_tagging_hosnahoseini_pipeline` is a English model originally trained by hosnahoseini.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_sayula_popoluca_tagging_hosnahoseini_pipeline_en_5.5.0_3.0_1726729485277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_sayula_popoluca_tagging_hosnahoseini_pipeline_en_5.5.0_3.0_1726729485277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_sayula_popoluca_tagging_hosnahoseini_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_sayula_popoluca_tagging_hosnahoseini_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_sayula_popoluca_tagging_hosnahoseini_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.5 MB|
+
+## References
+
+https://huggingface.co/hosnahoseini/roberta-pos-tagging
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_shopee_sentiment_gadgets_pipeline_tl.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_shopee_sentiment_gadgets_pipeline_tl.md
new file mode 100644
index 00000000000000..ab869a61b9d294
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_shopee_sentiment_gadgets_pipeline_tl.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Tagalog roberta_shopee_sentiment_gadgets_pipeline pipeline RoBertaForSequenceClassification from magixxixx
+author: John Snow Labs
+name: roberta_shopee_sentiment_gadgets_pipeline
+date: 2024-09-19
+tags: [tl, open_source, pipeline, onnx]
+task: Text Classification
+language: tl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_shopee_sentiment_gadgets_pipeline` is a Tagalog model originally trained by magixxixx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_shopee_sentiment_gadgets_pipeline_tl_5.5.0_3.0_1726779765567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_shopee_sentiment_gadgets_pipeline_tl_5.5.0_3.0_1726779765567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_shopee_sentiment_gadgets_pipeline", lang = "tl")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_shopee_sentiment_gadgets_pipeline", lang = "tl")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_shopee_sentiment_gadgets_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tl|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/magixxixx/roberta-shopee-sentiment-gadgets
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_untrained_2eps_seed408_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_untrained_2eps_seed408_pipeline_en.md
new file mode 100644
index 00000000000000..d8f896fa99a0c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_untrained_2eps_seed408_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_untrained_2eps_seed408_pipeline pipeline RoBertaForSequenceClassification from custeau
+author: John Snow Labs
+name: roberta_untrained_2eps_seed408_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_untrained_2eps_seed408_pipeline` is a English model originally trained by custeau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_untrained_2eps_seed408_pipeline_en_5.5.0_3.0_1726725802135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_untrained_2eps_seed408_pipeline_en_5.5.0_3.0_1726725802135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_untrained_2eps_seed408_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_untrained_2eps_seed408_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_untrained_2eps_seed408_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|447.9 MB|
+
+## References
+
+https://huggingface.co/custeau/roberta_untrained_2eps_seed408
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-robertaiqbal_en.md b/docs/_posts/ahmedlone127/2024-09-19-robertaiqbal_en.md
new file mode 100644
index 00000000000000..21895aa0622dd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-robertaiqbal_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English robertaiqbal RoBertaEmbeddings from cxfajar197
+author: John Snow Labs
+name: robertaiqbal
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robertaiqbal` is a English model originally trained by cxfajar197.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertaiqbal_en_5.5.0_3.0_1726747401065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertaiqbal_en_5.5.0_3.0_1726747401065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robertvar5pc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|298.2 MB|
+
+## References
+
+https://huggingface.co/gnathoi/roBERTvar5pc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-robertvar5pc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-robertvar5pc_pipeline_en.md
new file mode 100644
index 00000000000000..ef02ad9afb4c8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-robertvar5pc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English robertvar5pc_pipeline pipeline RoBertaEmbeddings from gnathoi
+author: John Snow Labs
+name: robertvar5pc_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robertvar5pc_pipeline` is a English model originally trained by gnathoi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertvar5pc_pipeline_en_5.5.0_3.0_1726778171184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertvar5pc_pipeline_en_5.5.0_3.0_1726778171184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("robertvar5pc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("robertvar5pc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robertvar5pc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|298.2 MB|
+
+## References
+
+https://huggingface.co/gnathoi/roBERTvar5pc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-robertvar_20pc_en.md b/docs/_posts/ahmedlone127/2024-09-19-robertvar_20pc_en.md
new file mode 100644
index 00000000000000..bab05e99fc2df2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-robertvar_20pc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English robertvar_20pc RoBertaEmbeddings from gnathoi
+author: John Snow Labs
+name: robertvar_20pc
+date: 2024-09-19
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robertvar_20pc` is a English model originally trained by gnathoi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertvar_20pc_en_5.5.0_3.0_1726778400156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertvar_20pc_en_5.5.0_3.0_1726778400156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robertvar_20pc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|298.2 MB|
+
+## References
+
+https://huggingface.co/gnathoi/RoBERTvar_20pc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-robertvar_20pc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-robertvar_20pc_pipeline_en.md
new file mode 100644
index 00000000000000..bebe5daa7e6d32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-robertvar_20pc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English robertvar_20pc_pipeline pipeline RoBertaEmbeddings from gnathoi
+author: John Snow Labs
+name: robertvar_20pc_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robertvar_20pc_pipeline` is a English model originally trained by gnathoi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertvar_20pc_pipeline_en_5.5.0_3.0_1726778490544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertvar_20pc_pipeline_en_5.5.0_3.0_1726778490544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("robertvar_20pc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("robertvar_20pc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robertvar_20pc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|298.2 MB|
+
+## References
+
+https://huggingface.co/gnathoi/RoBERTvar_20pc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-ruperta_base_es.md b/docs/_posts/ahmedlone127/2024-09-19-ruperta_base_es.md
new file mode 100644
index 00000000000000..a14a2a6ca1dc84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-ruperta_base_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish ruperta_base RoBertaEmbeddings from mrm8488
+author: John Snow Labs
+name: ruperta_base
+date: 2024-09-19
+tags: [es, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ruperta_base` is a Castilian, Spanish model originally trained by mrm8488.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ruperta_base_es_5.5.0_3.0_1726747270187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ruperta_base_es_5.5.0_3.0_1726747270187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruroberta_large_mlm_tuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/warleagle/ruRoberta-large-mlm_tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-ruroberta_large_mlm_tuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-ruroberta_large_mlm_tuned_pipeline_en.md
new file mode 100644
index 00000000000000..3d0b070b6bbcc2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-ruroberta_large_mlm_tuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ruroberta_large_mlm_tuned_pipeline pipeline RoBertaEmbeddings from warleagle
+author: John Snow Labs
+name: ruroberta_large_mlm_tuned_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ruroberta_large_mlm_tuned_pipeline` is a English model originally trained by warleagle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ruroberta_large_mlm_tuned_pipeline_en_5.5.0_3.0_1726747217624.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ruroberta_large_mlm_tuned_pipeline_en_5.5.0_3.0_1726747217624.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ruroberta_large_mlm_tuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ruroberta_large_mlm_tuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruroberta_large_mlm_tuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/warleagle/ruRoberta-large-mlm_tuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sanskrit_saskta_distilbert_eng_en.md b/docs/_posts/ahmedlone127/2024-09-19-sanskrit_saskta_distilbert_eng_en.md
new file mode 100644
index 00000000000000..3729961e3ae7d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sanskrit_saskta_distilbert_eng_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sanskrit_saskta_distilbert_eng DistilBertForSequenceClassification from keefezowie
+author: John Snow Labs
+name: sanskrit_saskta_distilbert_eng
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sanskrit_saskta_distilbert_eng` is a English model originally trained by keefezowie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_distilbert_eng_en_5.5.0_3.0_1726740652930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_distilbert_eng_en_5.5.0_3.0_1726740652930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_2022_habana_test_6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/philschmid/bert-base-uncased-2022-habana-test-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_bert_base_uncased_2022_habana_test_6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_bert_base_uncased_2022_habana_test_6_pipeline_en.md
new file mode 100644
index 00000000000000..9936dc60d8a64d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_bert_base_uncased_2022_habana_test_6_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_2022_habana_test_6_pipeline pipeline BertSentenceEmbeddings from philschmid
+author: John Snow Labs
+name: sent_bert_base_uncased_2022_habana_test_6_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_2022_habana_test_6_pipeline` is a English model originally trained by philschmid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_2022_habana_test_6_pipeline_en_5.5.0_3.0_1726782719200.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_2022_habana_test_6_pipeline_en_5.5.0_3.0_1726782719200.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_2022_habana_test_6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_2022_habana_test_6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_2022_habana_test_6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.8 MB|
+
+## References
+
+https://huggingface.co/philschmid/bert-base-uncased-2022-habana-test-6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_bert_base_uncased_finetuned_mol_mlm_0_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_bert_base_uncased_finetuned_mol_mlm_0_3_pipeline_en.md
new file mode 100644
index 00000000000000..483dc00d7b518b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_bert_base_uncased_finetuned_mol_mlm_0_3_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_mol_mlm_0_3_pipeline pipeline BertSentenceEmbeddings from matr1xx
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_mol_mlm_0_3_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_mol_mlm_0_3_pipeline` is a English model originally trained by matr1xx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_mol_mlm_0_3_pipeline_en_5.5.0_3.0_1726768591217.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_mol_mlm_0_3_pipeline_en_5.5.0_3.0_1726768591217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_finetuned_mol_mlm_0_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_finetuned_mol_mlm_0_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_mol_mlm_0_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/matr1xx/bert-base-uncased-finetuned-mol-mlm-0.3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_bert_emoji_latvian_twitter_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_bert_emoji_latvian_twitter_en.md
new file mode 100644
index 00000000000000..21ffd04da0e474
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_bert_emoji_latvian_twitter_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_emoji_latvian_twitter BertSentenceEmbeddings from FFZG-cleopatra
+author: John Snow Labs
+name: sent_bert_emoji_latvian_twitter
+date: 2024-09-19
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_emoji_latvian_twitter` is a English model originally trained by FFZG-cleopatra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_emoji_latvian_twitter_en_5.5.0_3.0_1726760958679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_emoji_latvian_twitter_en_5.5.0_3.0_1726760958679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_emoji_latvian_twitter|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|664.2 MB|
+
+## References
+
+https://huggingface.co/FFZG-cleopatra/bert-emoji-latvian-twitter
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_hindi_bpe_bert_test_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_hindi_bpe_bert_test_large_pipeline_en.md
new file mode 100644
index 00000000000000..87e93924b20149
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_hindi_bpe_bert_test_large_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_hindi_bpe_bert_test_large_pipeline pipeline BertSentenceEmbeddings from rg1683
+author: John Snow Labs
+name: sent_hindi_bpe_bert_test_large_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_hindi_bpe_bert_test_large_pipeline` is a English model originally trained by rg1683.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_hindi_bpe_bert_test_large_pipeline_en_5.5.0_3.0_1726760964357.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_hindi_bpe_bert_test_large_pipeline_en_5.5.0_3.0_1726760964357.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_hindi_bpe_bert_test_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_hindi_bpe_bert_test_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hindi_bpe_bert_test_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|378.3 MB|
+
+## References
+
+https://huggingface.co/rg1683/hindi_bpe_bert_test_large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_jmedroberta_base_sentencepiece_vocab50000_ja.md b/docs/_posts/ahmedlone127/2024-09-19-sent_jmedroberta_base_sentencepiece_vocab50000_ja.md
new file mode 100644
index 00000000000000..a86089b60c83aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_jmedroberta_base_sentencepiece_vocab50000_ja.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Japanese sent_jmedroberta_base_sentencepiece_vocab50000 BertSentenceEmbeddings from alabnii
+author: John Snow Labs
+name: sent_jmedroberta_base_sentencepiece_vocab50000
+date: 2024-09-19
+tags: [ja, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: ja
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_jmedroberta_base_sentencepiece_vocab50000` is a Japanese model originally trained by alabnii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_jmedroberta_base_sentencepiece_vocab50000_ja_5.5.0_3.0_1726761322365.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_jmedroberta_base_sentencepiece_vocab50000_ja_5.5.0_3.0_1726761322365.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_jmedroberta_base_sentencepiece_vocab50000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|ja|
+|Size:|464.0 MB|
+
+## References
+
+https://huggingface.co/alabnii/jmedroberta-base-sentencepiece-vocab50000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_nepnewsbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_nepnewsbert_pipeline_en.md
new file mode 100644
index 00000000000000..74e98dac022f7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_nepnewsbert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_nepnewsbert_pipeline pipeline BertSentenceEmbeddings from Shushant
+author: John Snow Labs
+name: sent_nepnewsbert_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_nepnewsbert_pipeline` is a English model originally trained by Shushant.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_nepnewsbert_pipeline_en_5.5.0_3.0_1726728672508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_nepnewsbert_pipeline_en_5.5.0_3.0_1726728672508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_nepnewsbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_nepnewsbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_nepnewsbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.2 MB|
+
+## References
+
+https://huggingface.co/Shushant/NepNewsBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sent_youtube_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sent_youtube_bert_pipeline_en.md
new file mode 100644
index 00000000000000..6b9f530c96bf18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sent_youtube_bert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_youtube_bert_pipeline pipeline BertSentenceEmbeddings from flboehm
+author: John Snow Labs
+name: sent_youtube_bert_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_youtube_bert_pipeline` is a English model originally trained by flboehm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_youtube_bert_pipeline_en_5.5.0_3.0_1726728786334.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_youtube_bert_pipeline_en_5.5.0_3.0_1726728786334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_youtube_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_youtube_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_youtube_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/flboehm/youtube-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_pipeline_en.md
new file mode 100644
index 00000000000000..58f711e8690cf0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_pipeline pipeline RoBertaForSequenceClassification from technocrat3128
+author: John Snow Labs
+name: sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_pipeline` is a English model originally trained by technocrat3128.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_pipeline_en_5.5.0_3.0_1726725918874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_pipeline_en_5.5.0_3.0_1726725918874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_fb_roberta_fine_tune_hashtag_removed_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|441.8 MB|
+
+## References
+
+https://huggingface.co/technocrat3128/sentiment_analysis_FB_roberta_fine_tune_hashtag_removed
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sentiment_analysis_finetuning_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sentiment_analysis_finetuning_pipeline_en.md
new file mode 100644
index 00000000000000..b682f2a64698a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sentiment_analysis_finetuning_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_analysis_finetuning_pipeline pipeline RoBertaForSequenceClassification from Asif1997
+author: John Snow Labs
+name: sentiment_analysis_finetuning_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_finetuning_pipeline` is a English model originally trained by Asif1997.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_finetuning_pipeline_en_5.5.0_3.0_1726751232228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_finetuning_pipeline_en_5.5.0_3.0_1726751232228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_analysis_finetuning_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_analysis_finetuning_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_finetuning_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|457.0 MB|
+
+## References
+
+https://huggingface.co/Asif1997/Sentiment-Analysis-Finetuning
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sexism_in_memes_en.md b/docs/_posts/ahmedlone127/2024-09-19-sexism_in_memes_en.md
new file mode 100644
index 00000000000000..dd3197289622b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sexism_in_memes_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sexism_in_memes DistilBertForSequenceClassification from thranduil2
+author: John Snow Labs
+name: sexism_in_memes
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sexism_in_memes` is a English model originally trained by thranduil2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sexism_in_memes_en_5.5.0_3.0_1726718982886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sexism_in_memes_en_5.5.0_3.0_1726718982886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sexism_in_memes|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thranduil2/sexism_in_memes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-sexism_in_memes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-sexism_in_memes_pipeline_en.md
new file mode 100644
index 00000000000000..56d3bfdc69f565
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-sexism_in_memes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sexism_in_memes_pipeline pipeline DistilBertForSequenceClassification from thranduil2
+author: John Snow Labs
+name: sexism_in_memes_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sexism_in_memes_pipeline` is a English model originally trained by thranduil2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sexism_in_memes_pipeline_en_5.5.0_3.0_1726718999637.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sexism_in_memes_pipeline_en_5.5.0_3.0_1726718999637.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sexism_in_memes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sexism_in_memes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sexism_in_memes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thranduil2/sexism_in_memes
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-small_llm_lingo_a_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-small_llm_lingo_a_pipeline_en.md
new file mode 100644
index 00000000000000..592c8c484eaf1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-small_llm_lingo_a_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English small_llm_lingo_a_pipeline pipeline WhisperForCTC from Enagamirzayev
+author: John Snow Labs
+name: small_llm_lingo_a_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`small_llm_lingo_a_pipeline` is a English model originally trained by Enagamirzayev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_llm_lingo_a_pipeline_en_5.5.0_3.0_1726788843944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_llm_lingo_a_pipeline_en_5.5.0_3.0_1726788843944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("small_llm_lingo_a_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("small_llm_lingo_a_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_llm_lingo_a_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Enagamirzayev/small-llm-lingo_a
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_pipeline_en.md
new file mode 100644
index 00000000000000..bcbfd705cbc5fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_pipeline_en_5.5.0_3.0_1726741192145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_pipeline_en_5.5.0_3.0_1726741192145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_0_2024_07_26_13_30_02_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-0-2024-07-26_13-30-02
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_en.md b/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_en.md
new file mode 100644
index 00000000000000..bd62e84883ebdb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_en_5.5.0_3.0_1726763347671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31_en_5.5.0_3.0_1726763347671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_20_2024_07_26_16_19_31|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-20-2024-07-26_16-19-31
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_40_2024_07_26_12_23_45_en.md b/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_40_2024_07_26_12_23_45_en.md
new file mode 100644
index 00000000000000..48310816e51bfe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-stego_classifier_checkpoint_epoch_40_2024_07_26_12_23_45_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_40_2024_07_26_12_23_45 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_40_2024_07_26_12_23_45
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_40_2024_07_26_12_23_45` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_40_2024_07_26_12_23_45_en_5.5.0_3.0_1726743751122.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_40_2024_07_26_12_23_45_en_5.5.0_3.0_1726743751122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_40_2024_07_26_12_23_45|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-40-2024-07-26_12-23-45
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-stresstweetrobertasentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-stresstweetrobertasentiment_pipeline_en.md
new file mode 100644
index 00000000000000..26d78e69012c9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-stresstweetrobertasentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stresstweetrobertasentiment_pipeline pipeline RoBertaForSequenceClassification from StephArn
+author: John Snow Labs
+name: stresstweetrobertasentiment_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stresstweetrobertasentiment_pipeline` is a English model originally trained by StephArn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stresstweetrobertasentiment_pipeline_en_5.5.0_3.0_1726779757898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stresstweetrobertasentiment_pipeline_en_5.5.0_3.0_1726779757898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stresstweetrobertasentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stresstweetrobertasentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stresstweetrobertasentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/StephArn/StressTweetRobertaSentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-tag_clf_en.md b/docs/_posts/ahmedlone127/2024-09-19-tag_clf_en.md
new file mode 100644
index 00000000000000..a67b29866e3f53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-tag_clf_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tag_clf RoBertaForSequenceClassification from eyeonyou
+author: John Snow Labs
+name: tag_clf
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tag_clf` is a English model originally trained by eyeonyou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tag_clf_en_5.5.0_3.0_1726733572739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tag_clf_en_5.5.0_3.0_1726733572739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|taiwanese_whisper_splend1dchan|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Splend1dchan/Taiwanese-Whisper
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-tatar_en.md b/docs/_posts/ahmedlone127/2024-09-19-tatar_en.md
new file mode 100644
index 00000000000000..33437883c016a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-tatar_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tatar DistilBertForSequenceClassification from isom5240sp24
+author: John Snow Labs
+name: tatar
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tatar` is a English model originally trained by isom5240sp24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tatar_en_5.5.0_3.0_1726719184054.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tatar_en_5.5.0_3.0_1726719184054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tatar|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/isom5240sp24/tt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-tatar_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-tatar_pipeline_en.md
new file mode 100644
index 00000000000000..a2ed4fb023edc2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-tatar_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tatar_pipeline pipeline DistilBertForSequenceClassification from isom5240sp24
+author: John Snow Labs
+name: tatar_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tatar_pipeline` is a English model originally trained by isom5240sp24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tatar_pipeline_en_5.5.0_3.0_1726719196962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tatar_pipeline_en_5.5.0_3.0_1726719196962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tatar_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tatar_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tatar_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/isom5240sp24/tt
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-team7_en.md b/docs/_posts/ahmedlone127/2024-09-19-team7_en.md
new file mode 100644
index 00000000000000..23eac0855417e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-team7_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English team7 RoBertaForSequenceClassification from MLGuy2
+author: John Snow Labs
+name: team7
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`team7` is a English model originally trained by MLGuy2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/team7_en_5.5.0_3.0_1726726104659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/team7_en_5.5.0_3.0_1726726104659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|team7|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/MLGuy2/Team7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-tenaliai_fintech_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-tenaliai_fintech_v1_pipeline_en.md
new file mode 100644
index 00000000000000..2ee9348f7631e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-tenaliai_fintech_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tenaliai_fintech_v1_pipeline pipeline BertForSequenceClassification from credentek
+author: John Snow Labs
+name: tenaliai_fintech_v1_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tenaliai_fintech_v1_pipeline` is a English model originally trained by credentek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tenaliai_fintech_v1_pipeline_en_5.5.0_3.0_1726770521898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tenaliai_fintech_v1_pipeline_en_5.5.0_3.0_1726770521898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tenaliai_fintech_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tenaliai_fintech_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tenaliai_fintech_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/credentek/TenaliAI-FinTech-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-test_harmmie_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-test_harmmie_pipeline_en.md
new file mode 100644
index 00000000000000..54926cbe912e4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-test_harmmie_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_harmmie_pipeline pipeline DistilBertForSequenceClassification from Harmmie
+author: John Snow Labs
+name: test_harmmie_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_harmmie_pipeline` is a English model originally trained by Harmmie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_harmmie_pipeline_en_5.5.0_3.0_1726763953091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_harmmie_pipeline_en_5.5.0_3.0_1726763953091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_harmmie_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_harmmie_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_harmmie_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Harmmie/test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-test_model1_en.md b/docs/_posts/ahmedlone127/2024-09-19-test_model1_en.md
new file mode 100644
index 00000000000000..c5408022bf1a44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-test_model1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_model1 DistilBertForSequenceClassification from imljls
+author: John Snow Labs
+name: test_model1
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_model1` is a English model originally trained by imljls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model1_en_5.5.0_3.0_1726763938548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model1_en_5.5.0_3.0_1726763938548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_model1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/imljls/test_model1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-test_model1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-test_model1_pipeline_en.md
new file mode 100644
index 00000000000000..c9af7f37904d67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-test_model1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_model1_pipeline pipeline DistilBertForSequenceClassification from imljls
+author: John Snow Labs
+name: test_model1_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_model1_pipeline` is a English model originally trained by imljls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model1_pipeline_en_5.5.0_3.0_1726763953193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model1_pipeline_en_5.5.0_3.0_1726763953193.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_model1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_model1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_model1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/imljls/test_model1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-test_whisper_tiny_thai_phakphum_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-test_whisper_tiny_thai_phakphum_pipeline_en.md
new file mode 100644
index 00000000000000..b3de5788992888
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-test_whisper_tiny_thai_phakphum_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English test_whisper_tiny_thai_phakphum_pipeline pipeline WhisperForCTC from Phakphum
+author: John Snow Labs
+name: test_whisper_tiny_thai_phakphum_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_whisper_tiny_thai_phakphum_pipeline` is a English model originally trained by Phakphum.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_whisper_tiny_thai_phakphum_pipeline_en_5.5.0_3.0_1726714439379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_whisper_tiny_thai_phakphum_pipeline_en_5.5.0_3.0_1726714439379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_whisper_tiny_thai_phakphum_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_whisper_tiny_thai_phakphum_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_whisper_tiny_thai_phakphum_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.0 MB|
+
+## References
+
+https://huggingface.co/Phakphum/test-whisper-tiny-th
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-testing_nischalsingh_en.md b/docs/_posts/ahmedlone127/2024-09-19-testing_nischalsingh_en.md
new file mode 100644
index 00000000000000..0917a5e9ba62b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-testing_nischalsingh_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English testing_nischalsingh DistilBertForSequenceClassification from nischalsingh
+author: John Snow Labs
+name: testing_nischalsingh
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testing_nischalsingh` is a English model originally trained by nischalsingh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testing_nischalsingh_en_5.5.0_3.0_1726763974861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testing_nischalsingh_en_5.5.0_3.0_1726763974861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testing_nischalsingh|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nischalsingh/testing
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-testing_nischalsingh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-testing_nischalsingh_pipeline_en.md
new file mode 100644
index 00000000000000..eb8f62a258823f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-testing_nischalsingh_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English testing_nischalsingh_pipeline pipeline DistilBertForSequenceClassification from nischalsingh
+author: John Snow Labs
+name: testing_nischalsingh_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testing_nischalsingh_pipeline` is a English model originally trained by nischalsingh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testing_nischalsingh_pipeline_en_5.5.0_3.0_1726763986941.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testing_nischalsingh_pipeline_en_5.5.0_3.0_1726763986941.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("testing_nischalsingh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("testing_nischalsingh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testing_nischalsingh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nischalsingh/testing
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-text_classification_sms_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-text_classification_sms_model_pipeline_en.md
new file mode 100644
index 00000000000000..4c1177466ad83f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-text_classification_sms_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English text_classification_sms_model_pipeline pipeline DistilBertForSequenceClassification from dstankovskii
+author: John Snow Labs
+name: text_classification_sms_model_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_sms_model_pipeline` is a English model originally trained by dstankovskii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_sms_model_pipeline_en_5.5.0_3.0_1726740715082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_sms_model_pipeline_en_5.5.0_3.0_1726740715082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("text_classification_sms_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("text_classification_sms_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_sms_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dstankovskii/text_classification_sms_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-third_classification_model_en.md b/docs/_posts/ahmedlone127/2024-09-19-third_classification_model_en.md
new file mode 100644
index 00000000000000..01b2f4cd69484c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-third_classification_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English third_classification_model DistilBertForSequenceClassification from Danny-Moldovan
+author: John Snow Labs
+name: third_classification_model
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`third_classification_model` is a English model originally trained by Danny-Moldovan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/third_classification_model_en_5.5.0_3.0_1726763346827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/third_classification_model_en_5.5.0_3.0_1726763346827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|third_classification_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Danny-Moldovan/third_classification_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-urdu_roberta_ner_en.md b/docs/_posts/ahmedlone127/2024-09-19-urdu_roberta_ner_en.md
new file mode 100644
index 00000000000000..e66bb8e367397f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-urdu_roberta_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English urdu_roberta_ner XlmRoBertaForTokenClassification from mirfan899
+author: John Snow Labs
+name: urdu_roberta_ner
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`urdu_roberta_ner` is a English model originally trained by mirfan899.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/urdu_roberta_ner_en_5.5.0_3.0_1726737668683.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/urdu_roberta_ner_en_5.5.0_3.0_1726737668683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|urdu_roberta_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|803.5 MB|
+
+## References
+
+https://huggingface.co/mirfan899/urdu-roberta-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-urdu_roberta_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-urdu_roberta_ner_pipeline_en.md
new file mode 100644
index 00000000000000..6c3dab3712047b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-urdu_roberta_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English urdu_roberta_ner_pipeline pipeline XlmRoBertaForTokenClassification from mirfan899
+author: John Snow Labs
+name: urdu_roberta_ner_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`urdu_roberta_ner_pipeline` is a English model originally trained by mirfan899.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/urdu_roberta_ner_pipeline_en_5.5.0_3.0_1726737790151.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/urdu_roberta_ner_pipeline_en_5.5.0_3.0_1726737790151.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("urdu_roberta_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("urdu_roberta_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|urdu_roberta_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|803.6 MB|
+
+## References
+
+https://huggingface.co/mirfan899/urdu-roberta-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-url_relevance_en.md b/docs/_posts/ahmedlone127/2024-09-19-url_relevance_en.md
new file mode 100644
index 00000000000000..5d87354a44620f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-url_relevance_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English url_relevance DistilBertForSequenceClassification from PDAP
+author: John Snow Labs
+name: url_relevance
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`url_relevance` is a English model originally trained by PDAP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/url_relevance_en_5.5.0_3.0_1726763829864.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/url_relevance_en_5.5.0_3.0_1726763829864.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_nak_01|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|639.9 MB|
+
+## References
+
+https://huggingface.co/rizer0/whisper_nak_01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_romanian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_romanian_pipeline_en.md
new file mode 100644
index 00000000000000..aa5f5ac9077778
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_romanian_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_romanian_pipeline pipeline WhisperForCTC from readerbench
+author: John Snow Labs
+name: whisper_romanian_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_romanian_pipeline` is a English model originally trained by readerbench.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_romanian_pipeline_en_5.5.0_3.0_1726759039372.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_romanian_pipeline_en_5.5.0_3.0_1726759039372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_romanian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_romanian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_romanian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/readerbench/whisper-ro
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_small_commonvoice_english_indacc_reduce_lr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_commonvoice_english_indacc_reduce_lr_pipeline_en.md
new file mode 100644
index 00000000000000..10f25fb411fc63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_commonvoice_english_indacc_reduce_lr_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_commonvoice_english_indacc_reduce_lr_pipeline pipeline WhisperForCTC from lauratomokiyo
+author: John Snow Labs
+name: whisper_small_commonvoice_english_indacc_reduce_lr_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_commonvoice_english_indacc_reduce_lr_pipeline` is a English model originally trained by lauratomokiyo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_commonvoice_english_indacc_reduce_lr_pipeline_en_5.5.0_3.0_1726713917753.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_commonvoice_english_indacc_reduce_lr_pipeline_en_5.5.0_3.0_1726713917753.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_commonvoice_english_indacc_reduce_lr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_commonvoice_english_indacc_reduce_lr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_commonvoice_english_indacc_reduce_lr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/lauratomokiyo/whisper-small-commonvoice-english-indacc-reduce_lr
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_small_cv11_french_fr.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_cv11_french_fr.md
new file mode 100644
index 00000000000000..4dc52adc84c1b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_cv11_french_fr.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: French whisper_small_cv11_french WhisperForCTC from bofenghuang
+author: John Snow Labs
+name: whisper_small_cv11_french
+date: 2024-09-19
+tags: [fr, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: fr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_cv11_french` is a French model originally trained by bofenghuang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_cv11_french_fr_5.5.0_3.0_1726757212069.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_cv11_french_fr_5.5.0_3.0_1726757212069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_divehi_frorozcol|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/Frorozcol/whisper-small-dv
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_small_divehi_frorozcol_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_divehi_frorozcol_pipeline_en.md
new file mode 100644
index 00000000000000..9d073894423f4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_divehi_frorozcol_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_divehi_frorozcol_pipeline pipeline WhisperForCTC from Frorozcol
+author: John Snow Labs
+name: whisper_small_divehi_frorozcol_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_divehi_frorozcol_pipeline` is a English model originally trained by Frorozcol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_frorozcol_pipeline_en_5.5.0_3.0_1726714535609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_frorozcol_pipeline_en_5.5.0_3.0_1726714535609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_divehi_frorozcol_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_divehi_frorozcol_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_divehi_frorozcol_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/Frorozcol/whisper-small-dv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_small_divehi_jackoyoungblood_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_divehi_jackoyoungblood_pipeline_en.md
new file mode 100644
index 00000000000000..378a49811382fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_divehi_jackoyoungblood_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_divehi_jackoyoungblood_pipeline pipeline WhisperForCTC from jackoyoungblood
+author: John Snow Labs
+name: whisper_small_divehi_jackoyoungblood_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_divehi_jackoyoungblood_pipeline` is a English model originally trained by jackoyoungblood.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_jackoyoungblood_pipeline_en_5.5.0_3.0_1726759966409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_jackoyoungblood_pipeline_en_5.5.0_3.0_1726759966409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_divehi_jackoyoungblood_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_divehi_jackoyoungblood_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_divehi_jackoyoungblood_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/jackoyoungblood/whisper-small-dv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_small_eg_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_eg_pipeline_ar.md
new file mode 100644
index 00000000000000..3dbda784895203
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_eg_pipeline_ar.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Arabic whisper_small_eg_pipeline pipeline WhisperForCTC from abuelnasr
+author: John Snow Labs
+name: whisper_small_eg_pipeline
+date: 2024-09-19
+tags: [ar, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_eg_pipeline` is a Arabic model originally trained by abuelnasr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_eg_pipeline_ar_5.5.0_3.0_1726788836844.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_eg_pipeline_ar_5.5.0_3.0_1726788836844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_eg_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_eg_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_eg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/abuelnasr/whisper-small-eg
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_small_hindi_zemans_hi.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_hindi_zemans_hi.md
new file mode 100644
index 00000000000000..f3ff6db81e5da0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_hindi_zemans_hi.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_zemans WhisperForCTC from Zemans
+author: John Snow Labs
+name: whisper_small_hindi_zemans
+date: 2024-09-19
+tags: [hi, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_zemans` is a Hindi model originally trained by Zemans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_zemans_hi_5.5.0_3.0_1726755414843.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_zemans_hi_5.5.0_3.0_1726755414843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_zemans|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Zemans/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_small_icelandic_pipeline_is.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_icelandic_pipeline_is.md
new file mode 100644
index 00000000000000..a10430f0b688db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_icelandic_pipeline_is.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Icelandic whisper_small_icelandic_pipeline pipeline WhisperForCTC from Valdimarb13
+author: John Snow Labs
+name: whisper_small_icelandic_pipeline
+date: 2024-09-19
+tags: [is, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: is
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_icelandic_pipeline` is a Icelandic model originally trained by Valdimarb13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_icelandic_pipeline_is_5.5.0_3.0_1726758248424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_icelandic_pipeline_is_5.5.0_3.0_1726758248424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_icelandic_pipeline", lang = "is")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_icelandic_pipeline", lang = "is")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_icelandic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|is|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Valdimarb13/whisper-small-icelandic
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_small_indonesian_rizka_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_indonesian_rizka_pipeline_id.md
new file mode 100644
index 00000000000000..c8607bef7c6a09
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_indonesian_rizka_pipeline_id.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Indonesian whisper_small_indonesian_rizka_pipeline pipeline WhisperForCTC from Rizka
+author: John Snow Labs
+name: whisper_small_indonesian_rizka_pipeline
+date: 2024-09-19
+tags: [id, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_indonesian_rizka_pipeline` is a Indonesian model originally trained by Rizka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_rizka_pipeline_id_5.5.0_3.0_1726756129702.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_rizka_pipeline_id_5.5.0_3.0_1726756129702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_indonesian_rizka_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_indonesian_rizka_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_indonesian_rizka_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Rizka/whisper-small-id
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_small_llm_lingo_p_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_llm_lingo_p_pipeline_en.md
new file mode 100644
index 00000000000000..b23c3dd10ea69c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_llm_lingo_p_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_llm_lingo_p_pipeline pipeline WhisperForCTC from Enagamirzayev
+author: John Snow Labs
+name: whisper_small_llm_lingo_p_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_llm_lingo_p_pipeline` is a English model originally trained by Enagamirzayev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_llm_lingo_p_pipeline_en_5.5.0_3.0_1726716511302.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_llm_lingo_p_pipeline_en_5.5.0_3.0_1726716511302.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_llm_lingo_p_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_llm_lingo_p_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_llm_lingo_p_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Enagamirzayev/whisper-small-llm-lingo_p
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_small_nepal_bhasa_russian_polish_bulgarian_a_bg.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_nepal_bhasa_russian_polish_bulgarian_a_bg.md
new file mode 100644
index 00000000000000..f4048cb8c990cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_nepal_bhasa_russian_polish_bulgarian_a_bg.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Bulgarian whisper_small_nepal_bhasa_russian_polish_bulgarian_a WhisperForCTC from Maks545curve
+author: John Snow Labs
+name: whisper_small_nepal_bhasa_russian_polish_bulgarian_a
+date: 2024-09-19
+tags: [bg, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: bg
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_nepal_bhasa_russian_polish_bulgarian_a` is a Bulgarian model originally trained by Maks545curve.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_nepal_bhasa_russian_polish_bulgarian_a_bg_5.5.0_3.0_1726758283849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_nepal_bhasa_russian_polish_bulgarian_a_bg_5.5.0_3.0_1726758283849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_yoruba_07_17|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ccibeekeoc42/whisper-small-yoruba-07-17
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_small_yoruba_07_17_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_yoruba_07_17_pipeline_en.md
new file mode 100644
index 00000000000000..3e9ca824cdaf4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_small_yoruba_07_17_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_yoruba_07_17_pipeline pipeline WhisperForCTC from ccibeekeoc42
+author: John Snow Labs
+name: whisper_small_yoruba_07_17_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_yoruba_07_17_pipeline` is a English model originally trained by ccibeekeoc42.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_yoruba_07_17_pipeline_en_5.5.0_3.0_1726760064384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_yoruba_07_17_pipeline_en_5.5.0_3.0_1726760064384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_yoruba_07_17_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_yoruba_07_17_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_yoruba_07_17_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ccibeekeoc42/whisper-small-yoruba-07-17
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_english_atco2_asr_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_english_atco2_asr_en.md
new file mode 100644
index 00000000000000..be9a8bccecdc46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_english_atco2_asr_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_english_atco2_asr WhisperForCTC from jlvdoorn
+author: John Snow Labs
+name: whisper_tiny_english_atco2_asr
+date: 2024-09-19
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_english_atco2_asr` is a English model originally trained by jlvdoorn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_atco2_asr_en_5.5.0_3.0_1726788133454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_atco2_asr_en_5.5.0_3.0_1726788133454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_english_codingqueen13|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/CodingQueen13/whisper-tiny-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_english_codingqueen13_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_english_codingqueen13_pipeline_en.md
new file mode 100644
index 00000000000000..8c6d4972f3916e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_english_codingqueen13_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_english_codingqueen13_pipeline pipeline WhisperForCTC from CodingQueen13
+author: John Snow Labs
+name: whisper_tiny_english_codingqueen13_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_english_codingqueen13_pipeline` is a English model originally trained by CodingQueen13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_codingqueen13_pipeline_en_5.5.0_3.0_1726759777845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_codingqueen13_pipeline_en_5.5.0_3.0_1726759777845.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_english_codingqueen13_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_english_codingqueen13_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_english_codingqueen13_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/CodingQueen13/whisper-tiny-en
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_italian_11_it.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_italian_11_it.md
new file mode 100644
index 00000000000000..3e622a4201d4a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_italian_11_it.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Italian whisper_tiny_italian_11 WhisperForCTC from FCameCode
+author: John Snow Labs
+name: whisper_tiny_italian_11
+date: 2024-09-19
+tags: [it, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_italian_11` is a Italian model originally trained by FCameCode.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_italian_11_it_5.5.0_3.0_1726787413831.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_italian_11_it_5.5.0_3.0_1726787413831.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_italian_11|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|it|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/FCameCode/whisper-tiny-it-11
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_italian_11_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_italian_11_pipeline_it.md
new file mode 100644
index 00000000000000..0a73cbca4d8d64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_italian_11_pipeline_it.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Italian whisper_tiny_italian_11_pipeline pipeline WhisperForCTC from FCameCode
+author: John Snow Labs
+name: whisper_tiny_italian_11_pipeline
+date: 2024-09-19
+tags: [it, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_italian_11_pipeline` is a Italian model originally trained by FCameCode.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_italian_11_pipeline_it_5.5.0_3.0_1726787434948.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_italian_11_pipeline_it_5.5.0_3.0_1726787434948.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_italian_11_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_italian_11_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_italian_11_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/FCameCode/whisper-tiny-it-11
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_minds14_english_chugyouk_en.md b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_minds14_english_chugyouk_en.md
new file mode 100644
index 00000000000000..39de0821c0d680
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-whisper_tiny_minds14_english_chugyouk_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_minds14_english_chugyouk WhisperForCTC from ChuGyouk
+author: John Snow Labs
+name: whisper_tiny_minds14_english_chugyouk
+date: 2024-09-19
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds14_english_chugyouk` is a English model originally trained by ChuGyouk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_chugyouk_en_5.5.0_3.0_1726787453559.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_chugyouk_en_5.5.0_3.0_1726787453559.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds14_english_chugyouk|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/ChuGyouk/whisper-tiny-minds14-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-withinapps_ndd_ppma_test_content_tags_cwadj_en.md b/docs/_posts/ahmedlone127/2024-09-19-withinapps_ndd_ppma_test_content_tags_cwadj_en.md
new file mode 100644
index 00000000000000..20757d5f8b948a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-withinapps_ndd_ppma_test_content_tags_cwadj_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English withinapps_ndd_ppma_test_content_tags_cwadj DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_ppma_test_content_tags_cwadj
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_ppma_test_content_tags_cwadj` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_ppma_test_content_tags_cwadj_en_5.5.0_3.0_1726741023170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_ppma_test_content_tags_cwadj_en_5.5.0_3.0_1726741023170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_ppma_test_content_tags_cwadj|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-ppma_test-content_tags-CWAdj
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-withinapps_ndd_ppma_test_content_tags_cwadj_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-withinapps_ndd_ppma_test_content_tags_cwadj_pipeline_en.md
new file mode 100644
index 00000000000000..7ef800d3dcdee3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-withinapps_ndd_ppma_test_content_tags_cwadj_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English withinapps_ndd_ppma_test_content_tags_cwadj_pipeline pipeline DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_ppma_test_content_tags_cwadj_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_ppma_test_content_tags_cwadj_pipeline` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_ppma_test_content_tags_cwadj_pipeline_en_5.5.0_3.0_1726741035737.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_ppma_test_content_tags_cwadj_pipeline_en_5.5.0_3.0_1726741035737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("withinapps_ndd_ppma_test_content_tags_cwadj_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("withinapps_ndd_ppma_test_content_tags_cwadj_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_ppma_test_content_tags_cwadj_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-ppma_test-content_tags-CWAdj
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_all_youngbeauty_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_all_youngbeauty_pipeline_en.md
new file mode 100644
index 00000000000000..a8ebfd41e6b720
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_all_youngbeauty_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_youngbeauty_pipeline pipeline XlmRoBertaForTokenClassification from YoungBeauty
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_youngbeauty_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_youngbeauty_pipeline` is a English model originally trained by YoungBeauty.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_youngbeauty_pipeline_en_5.5.0_3.0_1726738367745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_youngbeauty_pipeline_en_5.5.0_3.0_1726738367745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_youngbeauty_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_youngbeauty_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_youngbeauty_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/YoungBeauty/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_english_munsu_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_english_munsu_en.md
new file mode 100644
index 00000000000000..df119a9c896117
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_english_munsu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_munsu XlmRoBertaForTokenClassification from MunSu
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_munsu
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_munsu` is a English model originally trained by MunSu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_munsu_en_5.5.0_3.0_1726708478300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_munsu_en_5.5.0_3.0_1726708478300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_munsu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|859.4 MB|
+
+## References
+
+https://huggingface.co/MunSu/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_english_u00890358_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_english_u00890358_en.md
new file mode 100644
index 00000000000000..4c12148ee328f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_english_u00890358_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_u00890358 XlmRoBertaForTokenClassification from u00890358
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_u00890358
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_u00890358` is a English model originally trained by u00890358.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_u00890358_en_5.5.0_3.0_1726711378234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_u00890358_en_5.5.0_3.0_1726711378234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_u00890358|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|814.3 MB|
+
+## References
+
+https://huggingface.co/u00890358/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_bluetree99_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_bluetree99_en.md
new file mode 100644
index 00000000000000..8acb2371b28d15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_french_bluetree99_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_bluetree99 XlmRoBertaForTokenClassification from bluetree99
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_bluetree99
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_bluetree99` is a English model originally trained by bluetree99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_bluetree99_en_5.5.0_3.0_1726753623802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_bluetree99_en_5.5.0_3.0_1726753623802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_bluetree99|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/bluetree99/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_dinasalama_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_dinasalama_en.md
new file mode 100644
index 00000000000000..23ac8b3a41679e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_dinasalama_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_dinasalama XlmRoBertaForTokenClassification from DinaSalama
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_dinasalama
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_dinasalama` is a English model originally trained by DinaSalama.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_dinasalama_en_5.5.0_3.0_1726738301118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_dinasalama_en_5.5.0_3.0_1726738301118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_dinasalama|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|851.7 MB|
+
+## References
+
+https://huggingface.co/DinaSalama/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_duykha0511_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_duykha0511_pipeline_en.md
new file mode 100644
index 00000000000000..f2dcc1c2ee91f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_duykha0511_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_duykha0511_pipeline pipeline XlmRoBertaForTokenClassification from duykha0511
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_duykha0511_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_duykha0511_pipeline` is a English model originally trained by duykha0511.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_duykha0511_pipeline_en_5.5.0_3.0_1726711155638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_duykha0511_pipeline_en_5.5.0_3.0_1726711155638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_duykha0511_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_duykha0511_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_duykha0511_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/duykha0511/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_mcparty2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_mcparty2_pipeline_en.md
new file mode 100644
index 00000000000000..fe69a4923b2867
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_mcparty2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_mcparty2_pipeline pipeline XlmRoBertaForTokenClassification from mcparty2
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_mcparty2_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_mcparty2_pipeline` is a English model originally trained by mcparty2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_mcparty2_pipeline_en_5.5.0_3.0_1726738208148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_mcparty2_pipeline_en_5.5.0_3.0_1726738208148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_mcparty2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_mcparty2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_mcparty2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/mcparty2/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_munsu_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_munsu_en.md
new file mode 100644
index 00000000000000..5dd530fbf8b3cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_munsu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_munsu XlmRoBertaForTokenClassification from MunSu
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_munsu
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_munsu` is a English model originally trained by MunSu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_munsu_en_5.5.0_3.0_1726753675409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_munsu_en_5.5.0_3.0_1726753675409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_munsu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.3 MB|
+
+## References
+
+https://huggingface.co/MunSu/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_munsu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_munsu_pipeline_en.md
new file mode 100644
index 00000000000000..f2621ece6ac77a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_french_munsu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_munsu_pipeline pipeline XlmRoBertaForTokenClassification from MunSu
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_munsu_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_munsu_pipeline` is a English model originally trained by MunSu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_munsu_pipeline_en_5.5.0_3.0_1726753742044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_munsu_pipeline_en_5.5.0_3.0_1726753742044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_munsu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_munsu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_munsu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.3 MB|
+
+## References
+
+https://huggingface.co/MunSu/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_huggingbase_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_huggingbase_en.md
new file mode 100644
index 00000000000000..d794377142f422
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_huggingbase_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_huggingbase XlmRoBertaForTokenClassification from huggingbase
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_huggingbase
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_huggingbase` is a English model originally trained by huggingbase.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_huggingbase_en_5.5.0_3.0_1726737312716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_huggingbase_en_5.5.0_3.0_1726737312716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_huggingbase|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/huggingbase/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_jaydipsen_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_jaydipsen_pipeline_en.md
new file mode 100644
index 00000000000000..de7ccc94be2b7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_jaydipsen_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_jaydipsen_pipeline pipeline XlmRoBertaForTokenClassification from jaydipsen
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_jaydipsen_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_jaydipsen_pipeline` is a English model originally trained by jaydipsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_jaydipsen_pipeline_en_5.5.0_3.0_1726737672555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_jaydipsen_pipeline_en_5.5.0_3.0_1726737672555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_jaydipsen_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_jaydipsen_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_jaydipsen_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/jaydipsen/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_prudhvip21_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_prudhvip21_en.md
new file mode 100644
index 00000000000000..18d70279d1b096
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_prudhvip21_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_prudhvip21 XlmRoBertaForTokenClassification from prudhvip21
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_prudhvip21
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_prudhvip21` is a English model originally trained by prudhvip21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_prudhvip21_en_5.5.0_3.0_1726753556245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_prudhvip21_en_5.5.0_3.0_1726753556245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_prudhvip21|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/prudhvip21/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_ruihui_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_ruihui_en.md
new file mode 100644
index 00000000000000..5f9f35a99e383b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_german_ruihui_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_ruihui XlmRoBertaForTokenClassification from ruihui
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_ruihui
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_ruihui` is a English model originally trained by ruihui.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_ruihui_en_5.5.0_3.0_1726754237282.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_ruihui_en_5.5.0_3.0_1726754237282.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_ruihui|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|854.4 MB|
+
+## References
+
+https://huggingface.co/ruihui/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_italian_k4west_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_italian_k4west_en.md
new file mode 100644
index 00000000000000..4fd35a726056f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_italian_k4west_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_k4west XlmRoBertaForTokenClassification from k4west
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_k4west
+date: 2024-09-19
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_k4west` is a English model originally trained by k4west.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_k4west_en_5.5.0_3.0_1726753875820.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_k4west_en_5.5.0_3.0_1726753875820.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_k4west|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|816.7 MB|
+
+## References
+
+https://huggingface.co/k4west/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_italian_k4west_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_italian_k4west_pipeline_en.md
new file mode 100644
index 00000000000000..21444ab177fad1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_finetuned_panx_italian_k4west_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_k4west_pipeline pipeline XlmRoBertaForTokenClassification from k4west
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_k4west_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_k4west_pipeline` is a English model originally trained by k4west.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_k4west_pipeline_en_5.5.0_3.0_1726753976609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_k4west_pipeline_en_5.5.0_3.0_1726753976609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_k4west_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_k4west_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_k4west_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|816.8 MB|
+
+## References
+
+https://huggingface.co/k4west/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_language_detection_unklefedor_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_language_detection_unklefedor_en.md
new file mode 100644
index 00000000000000..8c5d8dab637785
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_language_detection_unklefedor_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_language_detection_unklefedor XlmRoBertaForSequenceClassification from unklefedor
+author: John Snow Labs
+name: xlm_roberta_base_language_detection_unklefedor
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_language_detection_unklefedor` is a English model originally trained by unklefedor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_language_detection_unklefedor_en_5.5.0_3.0_1726752707238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_language_detection_unklefedor_en_5.5.0_3.0_1726752707238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_language_detection_unklefedor|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|911.9 MB|
+
+## References
+
+https://huggingface.co/unklefedor/xlm-roberta-base-language-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_language_detection_unklefedor_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_language_detection_unklefedor_pipeline_en.md
new file mode 100644
index 00000000000000..3e7187aee3e426
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_language_detection_unklefedor_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_language_detection_unklefedor_pipeline pipeline XlmRoBertaForSequenceClassification from unklefedor
+author: John Snow Labs
+name: xlm_roberta_base_language_detection_unklefedor_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_language_detection_unklefedor_pipeline` is a English model originally trained by unklefedor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_language_detection_unklefedor_pipeline_en_5.5.0_3.0_1726752799887.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_language_detection_unklefedor_pipeline_en_5.5.0_3.0_1726752799887.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_language_detection_unklefedor_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_language_detection_unklefedor_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_language_detection_unklefedor_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|911.9 MB|
+
+## References
+
+https://huggingface.co/unklefedor/xlm-roberta-base-language-detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_lr0_001_seed42_esp_kinyarwanda_eng_train_en.md b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_lr0_001_seed42_esp_kinyarwanda_eng_train_en.md
new file mode 100644
index 00000000000000..19947b416a3b3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xlm_roberta_base_lr0_001_seed42_esp_kinyarwanda_eng_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_lr0_001_seed42_esp_kinyarwanda_eng_train XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr0_001_seed42_esp_kinyarwanda_eng_train
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr0_001_seed42_esp_kinyarwanda_eng_train` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr0_001_seed42_esp_kinyarwanda_eng_train_en_5.5.0_3.0_1726721134117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr0_001_seed42_esp_kinyarwanda_eng_train_en_5.5.0_3.0_1726721134117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr0_001_seed42_esp_kinyarwanda_eng_train|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|835.1 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr0.001_seed42_esp-kin-eng_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-xmlroberta_gendata_double_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-xmlroberta_gendata_double_pipeline_en.md
new file mode 100644
index 00000000000000..be0283fbdb4523
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-xmlroberta_gendata_double_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xmlroberta_gendata_double_pipeline pipeline XlmRoBertaForSequenceClassification from Constien
+author: John Snow Labs
+name: xmlroberta_gendata_double_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xmlroberta_gendata_double_pipeline` is a English model originally trained by Constien.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xmlroberta_gendata_double_pipeline_en_5.5.0_3.0_1726752224567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xmlroberta_gendata_double_pipeline_en_5.5.0_3.0_1726752224567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xmlroberta_gendata_double_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xmlroberta_gendata_double_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xmlroberta_gendata_double_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|802.5 MB|
+
+## References
+
+https://huggingface.co/Constien/xmlRoberta_GenData_Double
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-2020_q4_25p_filtered_random_en.md b/docs/_posts/ahmedlone127/2024-09-20-2020_q4_25p_filtered_random_en.md
new file mode 100644
index 00000000000000..6e4f2938c8b530
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-2020_q4_25p_filtered_random_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2020_q4_25p_filtered_random RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q4_25p_filtered_random
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q4_25p_filtered_random` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q4_25p_filtered_random_en_5.5.0_3.0_1726815990613.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q4_25p_filtered_random_en_5.5.0_3.0_1726815990613.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q4_25p_filtered_random|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q4-25p-filtered-random
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-2020_q4_25p_filtered_random_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-2020_q4_25p_filtered_random_pipeline_en.md
new file mode 100644
index 00000000000000..656333e52fb4a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-2020_q4_25p_filtered_random_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2020_q4_25p_filtered_random_pipeline pipeline RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q4_25p_filtered_random_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q4_25p_filtered_random_pipeline` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q4_25p_filtered_random_pipeline_en_5.5.0_3.0_1726816013879.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q4_25p_filtered_random_pipeline_en_5.5.0_3.0_1726816013879.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2020_q4_25p_filtered_random_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2020_q4_25p_filtered_random_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q4_25p_filtered_random_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q4-25p-filtered-random
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-2020_q4_50p_filtered_prog_from_q3_en.md b/docs/_posts/ahmedlone127/2024-09-20-2020_q4_50p_filtered_prog_from_q3_en.md
new file mode 100644
index 00000000000000..b0a4745dd89dd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-2020_q4_50p_filtered_prog_from_q3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2020_q4_50p_filtered_prog_from_q3 RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q4_50p_filtered_prog_from_q3
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q4_50p_filtered_prog_from_q3` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q4_50p_filtered_prog_from_q3_en_5.5.0_3.0_1726857075526.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q4_50p_filtered_prog_from_q3_en_5.5.0_3.0_1726857075526.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q4_50p_filtered_prog_from_q3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q4-50p-filtered-prog_from_Q3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-2020_q4_50p_filtered_prog_from_q3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-2020_q4_50p_filtered_prog_from_q3_pipeline_en.md
new file mode 100644
index 00000000000000..a294e323746d64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-2020_q4_50p_filtered_prog_from_q3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2020_q4_50p_filtered_prog_from_q3_pipeline pipeline RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q4_50p_filtered_prog_from_q3_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q4_50p_filtered_prog_from_q3_pipeline` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q4_50p_filtered_prog_from_q3_pipeline_en_5.5.0_3.0_1726857106084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q4_50p_filtered_prog_from_q3_pipeline_en_5.5.0_3.0_1726857106084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2020_q4_50p_filtered_prog_from_q3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2020_q4_50p_filtered_prog_from_q3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q4_50p_filtered_prog_from_q3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q4-50p-filtered-prog_from_Q3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-20240304_01_hf_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-20240304_01_hf_pipeline_en.md
new file mode 100644
index 00000000000000..db3f8a9b537796
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-20240304_01_hf_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 20240304_01_hf_pipeline pipeline DistilBertForSequenceClassification from linweichen
+author: John Snow Labs
+name: 20240304_01_hf_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`20240304_01_hf_pipeline` is a English model originally trained by linweichen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/20240304_01_hf_pipeline_en_5.5.0_3.0_1726841439437.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/20240304_01_hf_pipeline_en_5.5.0_3.0_1726841439437.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("20240304_01_hf_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("20240304_01_hf_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|20240304_01_hf_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/linweichen/20240304_01_HF
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-27th2024dash1_distilbert_base_uncased_2_en.md b/docs/_posts/ahmedlone127/2024-09-20-27th2024dash1_distilbert_base_uncased_2_en.md
new file mode 100644
index 00000000000000..772ff020418dfb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-27th2024dash1_distilbert_base_uncased_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 27th2024dash1_distilbert_base_uncased_2 DistilBertForSequenceClassification from blockchain17171
+author: John Snow Labs
+name: 27th2024dash1_distilbert_base_uncased_2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`27th2024dash1_distilbert_base_uncased_2` is a English model originally trained by blockchain17171.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/27th2024dash1_distilbert_base_uncased_2_en_5.5.0_3.0_1726809303704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/27th2024dash1_distilbert_base_uncased_2_en_5.5.0_3.0_1726809303704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|27th2024dash1_distilbert_base_uncased_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/blockchain17171/27th2024DASH1-distilbert-base-uncased-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-a_nepal_bhasa_repo_edurayan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-a_nepal_bhasa_repo_edurayan_pipeline_en.md
new file mode 100644
index 00000000000000..2c5055aafef32b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-a_nepal_bhasa_repo_edurayan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English a_nepal_bhasa_repo_edurayan_pipeline pipeline DistilBertForSequenceClassification from EduRayan
+author: John Snow Labs
+name: a_nepal_bhasa_repo_edurayan_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`a_nepal_bhasa_repo_edurayan_pipeline` is a English model originally trained by EduRayan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/a_nepal_bhasa_repo_edurayan_pipeline_en_5.5.0_3.0_1726871746407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/a_nepal_bhasa_repo_edurayan_pipeline_en_5.5.0_3.0_1726871746407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("a_nepal_bhasa_repo_edurayan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("a_nepal_bhasa_repo_edurayan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|a_nepal_bhasa_repo_edurayan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/EduRayan/A-new-repo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-absa_restaurant_froberta_base_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-absa_restaurant_froberta_base_v2_pipeline_en.md
new file mode 100644
index 00000000000000..5c00cda11eb409
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-absa_restaurant_froberta_base_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English absa_restaurant_froberta_base_v2_pipeline pipeline RoBertaEmbeddings from AliAhmad001
+author: John Snow Labs
+name: absa_restaurant_froberta_base_v2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`absa_restaurant_froberta_base_v2_pipeline` is a English model originally trained by AliAhmad001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/absa_restaurant_froberta_base_v2_pipeline_en_5.5.0_3.0_1726857809625.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/absa_restaurant_froberta_base_v2_pipeline_en_5.5.0_3.0_1726857809625.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("absa_restaurant_froberta_base_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("absa_restaurant_froberta_base_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|absa_restaurant_froberta_base_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/AliAhmad001/absa-restaurant-froberta-base-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-affect_arroberta_v1_ar.md b/docs/_posts/ahmedlone127/2024-09-20-affect_arroberta_v1_ar.md
new file mode 100644
index 00000000000000..e81459c4e6b3d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-affect_arroberta_v1_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic affect_arroberta_v1 RoBertaEmbeddings from NLP-EXP
+author: John Snow Labs
+name: affect_arroberta_v1
+date: 2024-09-20
+tags: [ar, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`affect_arroberta_v1` is a Arabic model originally trained by NLP-EXP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/affect_arroberta_v1_ar_5.5.0_3.0_1726857545335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/affect_arroberta_v1_ar_5.5.0_3.0_1726857545335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|affect_arroberta_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|ar|
+|Size:|504.5 MB|
+
+## References
+
+https://huggingface.co/NLP-EXP/Affect-ArRoberta-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-affect_arroberta_v1_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-20-affect_arroberta_v1_pipeline_ar.md
new file mode 100644
index 00000000000000..a5aa5dc12dd92b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-affect_arroberta_v1_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic affect_arroberta_v1_pipeline pipeline RoBertaEmbeddings from NLP-EXP
+author: John Snow Labs
+name: affect_arroberta_v1_pipeline
+date: 2024-09-20
+tags: [ar, open_source, pipeline, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`affect_arroberta_v1_pipeline` is a Arabic model originally trained by NLP-EXP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/affect_arroberta_v1_pipeline_ar_5.5.0_3.0_1726857570854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/affect_arroberta_v1_pipeline_ar_5.5.0_3.0_1726857570854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("affect_arroberta_v1_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("affect_arroberta_v1_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|affect_arroberta_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|504.5 MB|
+
+## References
+
+https://huggingface.co/NLP-EXP/Affect-ArRoberta-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-agnews_padding10model_en.md b/docs/_posts/ahmedlone127/2024-09-20-agnews_padding10model_en.md
new file mode 100644
index 00000000000000..56c1186213a74d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-agnews_padding10model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English agnews_padding10model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: agnews_padding10model
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`agnews_padding10model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/agnews_padding10model_en_5.5.0_3.0_1726840996697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/agnews_padding10model_en_5.5.0_3.0_1726840996697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|agnews_padding10model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/agnews_padding10model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-agnews_padding10model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-agnews_padding10model_pipeline_en.md
new file mode 100644
index 00000000000000..aff5bfd6218605
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-agnews_padding10model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English agnews_padding10model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: agnews_padding10model_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`agnews_padding10model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/agnews_padding10model_pipeline_en_5.5.0_3.0_1726841013074.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/agnews_padding10model_pipeline_en_5.5.0_3.0_1726841013074.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("agnews_padding10model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("agnews_padding10model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|agnews_padding10model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/agnews_padding10model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-albert_base_qa_squad2_en.md b/docs/_posts/ahmedlone127/2024-09-20-albert_base_qa_squad2_en.md
new file mode 100644
index 00000000000000..78a13b822634ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-albert_base_qa_squad2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English AlbertForQuestionAnswering model (from twmkn9)
+author: John Snow Labs
+name: albert_base_qa_squad2
+date: 2024-09-20
+tags: [question_answering, albert, openvino, en, open_source, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+“
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. albert-base-v2-squad2 is a English model originally trained by twmkn9.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_qa_squad2_en_5.5.0_3.0_1726866588603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_qa_squad2_en_5.5.0_3.0_1726866588603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = AlbertForQuestionAnswering.pretrained("albert_base_qa_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer").setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = AlbertForQuestionAnswering.pretrained("albert_base_qa_squad2","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_qa_squad2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|42.0 MB|
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-albert_base_qa_squad2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-albert_base_qa_squad2_pipeline_en.md
new file mode 100644
index 00000000000000..5fca055ba2af95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-albert_base_qa_squad2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English albert_base_qa_squad2_pipeline pipeline AlbertForQuestionAnswering from twmkn9
+author: John Snow Labs
+name: albert_base_qa_squad2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_qa_squad2_pipeline` is a English model originally trained by twmkn9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_qa_squad2_pipeline_en_5.5.0_3.0_1726866590969.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_qa_squad2_pipeline_en_5.5.0_3.0_1726866590969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_base_qa_squad2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_base_qa_squad2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_qa_squad2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|42.0 MB|
+
+## References
+
+https://huggingface.co/twmkn9albert-base-v2-squad2
+
+## Included Models
+
+- MultiDocumentAssembler
+- AlbertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-albert_base_v2_squad2_twmkn9_en.md b/docs/_posts/ahmedlone127/2024-09-20-albert_base_v2_squad2_twmkn9_en.md
new file mode 100644
index 00000000000000..3982100a157870
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-albert_base_v2_squad2_twmkn9_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English albert_base_v2_squad2_twmkn9 AlbertForQuestionAnswering from twmkn9
+author: John Snow Labs
+name: albert_base_v2_squad2_twmkn9
+date: 2024-09-20
+tags: [en, open_source, onnx, question_answering, albert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_v2_squad2_twmkn9` is a English model originally trained by twmkn9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_v2_squad2_twmkn9_en_5.5.0_3.0_1726866588390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_v2_squad2_twmkn9_en_5.5.0_3.0_1726866588390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_v2_squad2_twmkn9|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|42.0 MB|
+
+## References
+
+https://huggingface.co/twmkn9/albert-base-v2-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-albert_base_v2_squad2_twmkn9_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-albert_base_v2_squad2_twmkn9_pipeline_en.md
new file mode 100644
index 00000000000000..68e5c36ded3b24
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-albert_base_v2_squad2_twmkn9_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English albert_base_v2_squad2_twmkn9_pipeline pipeline AlbertForQuestionAnswering from twmkn9
+author: John Snow Labs
+name: albert_base_v2_squad2_twmkn9_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_v2_squad2_twmkn9_pipeline` is a English model originally trained by twmkn9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_v2_squad2_twmkn9_pipeline_en_5.5.0_3.0_1726866590531.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_v2_squad2_twmkn9_pipeline_en_5.5.0_3.0_1726866590531.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_base_v2_squad2_twmkn9_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_base_v2_squad2_twmkn9_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_v2_squad2_twmkn9_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|42.0 MB|
+
+## References
+
+https://huggingface.co/twmkn9/albert-base-v2-squad2
+
+## Included Models
+
+- MultiDocumentAssembler
+- AlbertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-alberta_base_mathissimo_en.md b/docs/_posts/ahmedlone127/2024-09-20-alberta_base_mathissimo_en.md
new file mode 100644
index 00000000000000..1f42e44b32e4e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-alberta_base_mathissimo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English alberta_base_mathissimo RoBertaForSequenceClassification from Mathissimo
+author: John Snow Labs
+name: alberta_base_mathissimo
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`alberta_base_mathissimo` is a English model originally trained by Mathissimo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alberta_base_mathissimo_en_5.5.0_3.0_1726850139055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alberta_base_mathissimo_en_5.5.0_3.0_1726850139055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_distilroberta_v1_finetuned_dit_10_epochs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.4 MB|
+
+## References
+
+https://huggingface.co/veddm/all-distilroberta-v1-finetuned-DIT-10_epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-all_distilroberta_v1_finetuned_dit_10_epochs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-all_distilroberta_v1_finetuned_dit_10_epochs_pipeline_en.md
new file mode 100644
index 00000000000000..ebaf280a8cd894
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-all_distilroberta_v1_finetuned_dit_10_epochs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_distilroberta_v1_finetuned_dit_10_epochs_pipeline pipeline RoBertaEmbeddings from veddm
+author: John Snow Labs
+name: all_distilroberta_v1_finetuned_dit_10_epochs_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_distilroberta_v1_finetuned_dit_10_epochs_pipeline` is a English model originally trained by veddm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_distilroberta_v1_finetuned_dit_10_epochs_pipeline_en_5.5.0_3.0_1726857230785.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_distilroberta_v1_finetuned_dit_10_epochs_pipeline_en_5.5.0_3.0_1726857230785.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_distilroberta_v1_finetuned_dit_10_epochs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_distilroberta_v1_finetuned_dit_10_epochs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_distilroberta_v1_finetuned_dit_10_epochs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/veddm/all-distilroberta-v1-finetuned-DIT-10_epochs
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-all_minilm_l6_v2_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-20-all_minilm_l6_v2_finetuned_squad_en.md
new file mode 100644
index 00000000000000..68831671e7948e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-all_minilm_l6_v2_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English all_minilm_l6_v2_finetuned_squad BertForQuestionAnswering from Sybghat
+author: John Snow Labs
+name: all_minilm_l6_v2_finetuned_squad
+date: 2024-09-20
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_minilm_l6_v2_finetuned_squad` is a English model originally trained by Sybghat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_minilm_l6_v2_finetuned_squad_en_5.5.0_3.0_1726834331584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_minilm_l6_v2_finetuned_squad_en_5.5.0_3.0_1726834331584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_minilm_l6_v2_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|84.2 MB|
+
+## References
+
+https://huggingface.co/Sybghat/all-MiniLM-L6-v2-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-all_minilm_l6_v2_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-all_minilm_l6_v2_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..f995d9c72bc4bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-all_minilm_l6_v2_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_minilm_l6_v2_finetuned_squad_pipeline pipeline BertForQuestionAnswering from Sybghat
+author: John Snow Labs
+name: all_minilm_l6_v2_finetuned_squad_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_minilm_l6_v2_finetuned_squad_pipeline` is a English model originally trained by Sybghat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_minilm_l6_v2_finetuned_squad_pipeline_en_5.5.0_3.0_1726834335735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_minilm_l6_v2_finetuned_squad_pipeline_en_5.5.0_3.0_1726834335735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_minilm_l6_v2_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_minilm_l6_v2_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_minilm_l6_v2_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|84.2 MB|
+
+## References
+
+https://huggingface.co/Sybghat/all-MiniLM-L6-v2-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_credit_cards_8_16_5_en.md b/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_credit_cards_8_16_5_en.md
new file mode 100644
index 00000000000000..3e5ba787df5d91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_credit_cards_8_16_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_credit_cards_8_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_credit_cards_8_16_5
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_credit_cards_8_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_credit_cards_8_16_5_en_5.5.0_3.0_1726850049121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_credit_cards_8_16_5_en_5.5.0_3.0_1726850049121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_credit_cards_8_16_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-credit_cards-8-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_credit_cards_8_16_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_credit_cards_8_16_5_pipeline_en.md
new file mode 100644
index 00000000000000..54b9539e8e9136
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-all_roberta_large_v1_credit_cards_8_16_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_credit_cards_8_16_5_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_credit_cards_8_16_5_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_credit_cards_8_16_5_pipeline` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_credit_cards_8_16_5_pipeline_en_5.5.0_3.0_1726850112567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_credit_cards_8_16_5_pipeline_en_5.5.0_3.0_1726850112567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_roberta_large_v1_credit_cards_8_16_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_credit_cards_8_16_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_credit_cards_8_16_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-credit_cards-8-16-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-amazon_baby_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-20-amazon_baby_distilbert_en.md
new file mode 100644
index 00000000000000..430ff9b018f58c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-amazon_baby_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English amazon_baby_distilbert DistilBertForSequenceClassification from aleehpandita
+author: John Snow Labs
+name: amazon_baby_distilbert
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_baby_distilbert` is a English model originally trained by aleehpandita.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_baby_distilbert_en_5.5.0_3.0_1726861230089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_baby_distilbert_en_5.5.0_3.0_1726861230089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_baby_distilbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aleehpandita/amazon-baby-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-amazon_baby_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-amazon_baby_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..e35e4efb9bb75a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-amazon_baby_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English amazon_baby_distilbert_pipeline pipeline DistilBertForSequenceClassification from aleehpandita
+author: John Snow Labs
+name: amazon_baby_distilbert_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_baby_distilbert_pipeline` is a English model originally trained by aleehpandita.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_baby_distilbert_pipeline_en_5.5.0_3.0_1726861241720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_baby_distilbert_pipeline_en_5.5.0_3.0_1726861241720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("amazon_baby_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("amazon_baby_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_baby_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aleehpandita/amazon-baby-distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-asrforcommonvoice_en.md b/docs/_posts/ahmedlone127/2024-09-20-asrforcommonvoice_en.md
new file mode 100644
index 00000000000000..38d837bc7111b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-asrforcommonvoice_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English asrforcommonvoice WhisperForCTC from Wishwa98
+author: John Snow Labs
+name: asrforcommonvoice
+date: 2024-09-20
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asrforcommonvoice` is a English model originally trained by Wishwa98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asrforcommonvoice_en_5.5.0_3.0_1726813752426.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asrforcommonvoice_en_5.5.0_3.0_1726813752426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asrforcommonvoice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Wishwa98/ASRForCommonVoice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-asrforcommonvoice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-asrforcommonvoice_pipeline_en.md
new file mode 100644
index 00000000000000..27a8f4dd7ddbdd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-asrforcommonvoice_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English asrforcommonvoice_pipeline pipeline WhisperForCTC from Wishwa98
+author: John Snow Labs
+name: asrforcommonvoice_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asrforcommonvoice_pipeline` is a English model originally trained by Wishwa98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asrforcommonvoice_pipeline_en_5.5.0_3.0_1726813836752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asrforcommonvoice_pipeline_en_5.5.0_3.0_1726813836752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("asrforcommonvoice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("asrforcommonvoice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asrforcommonvoice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Wishwa98/ASRForCommonVoice
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-augmented_model_fast_2_c_norwegian_copula_norwegian_time_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-augmented_model_fast_2_c_norwegian_copula_norwegian_time_pipeline_en.md
new file mode 100644
index 00000000000000..2cc3ed484409b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-augmented_model_fast_2_c_norwegian_copula_norwegian_time_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English augmented_model_fast_2_c_norwegian_copula_norwegian_time_pipeline pipeline DistilBertForSequenceClassification from LeonardoFettucciari
+author: John Snow Labs
+name: augmented_model_fast_2_c_norwegian_copula_norwegian_time_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`augmented_model_fast_2_c_norwegian_copula_norwegian_time_pipeline` is a English model originally trained by LeonardoFettucciari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/augmented_model_fast_2_c_norwegian_copula_norwegian_time_pipeline_en_5.5.0_3.0_1726871756113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/augmented_model_fast_2_c_norwegian_copula_norwegian_time_pipeline_en_5.5.0_3.0_1726871756113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("augmented_model_fast_2_c_norwegian_copula_norwegian_time_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("augmented_model_fast_2_c_norwegian_copula_norwegian_time_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|augmented_model_fast_2_c_norwegian_copula_norwegian_time_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LeonardoFettucciari/augmented_model_fast_2_c_NO_COPULA_NO_TIME
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-autotrain_63go1_k0lzp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-autotrain_63go1_k0lzp_pipeline_en.md
new file mode 100644
index 00000000000000..c75b7a5d67eef7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-autotrain_63go1_k0lzp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_63go1_k0lzp_pipeline pipeline DistilBertForSequenceClassification from ben-yu
+author: John Snow Labs
+name: autotrain_63go1_k0lzp_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_63go1_k0lzp_pipeline` is a English model originally trained by ben-yu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_63go1_k0lzp_pipeline_en_5.5.0_3.0_1726860742399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_63go1_k0lzp_pipeline_en_5.5.0_3.0_1726860742399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_63go1_k0lzp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_63go1_k0lzp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_63go1_k0lzp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ben-yu/autotrain-63go1-k0lzp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-b001_cleaned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-b001_cleaned_pipeline_en.md
new file mode 100644
index 00000000000000..406a207002e21e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-b001_cleaned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English b001_cleaned_pipeline pipeline DistilBertForSequenceClassification from Theoreticallyhugo
+author: John Snow Labs
+name: b001_cleaned_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`b001_cleaned_pipeline` is a English model originally trained by Theoreticallyhugo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/b001_cleaned_pipeline_en_5.5.0_3.0_1726871536420.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/b001_cleaned_pipeline_en_5.5.0_3.0_1726871536420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("b001_cleaned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("b001_cleaned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|b001_cleaned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Theoreticallyhugo/B001_cleaned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-base_model_en.md b/docs/_posts/ahmedlone127/2024-09-20-base_model_en.md
new file mode 100644
index 00000000000000..a0a4500cd22fd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-base_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English base_model DistilBertForSequenceClassification from ghantaharsha
+author: John Snow Labs
+name: base_model
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`base_model` is a English model originally trained by ghantaharsha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_model_en_5.5.0_3.0_1726830311966.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_model_en_5.5.0_3.0_1726830311966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ghantaharsha/base-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-base_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-base_model_pipeline_en.md
new file mode 100644
index 00000000000000..2fec2287e13b4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-base_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English base_model_pipeline pipeline DistilBertForSequenceClassification from ghantaharsha
+author: John Snow Labs
+name: base_model_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`base_model_pipeline` is a English model originally trained by ghantaharsha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_model_pipeline_en_5.5.0_3.0_1726830324538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_model_pipeline_en_5.5.0_3.0_1726830324538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("base_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("base_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ghantaharsha/base-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bbc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bbc_pipeline_en.md
new file mode 100644
index 00000000000000..e0e1d7b32a37c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bbc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bbc_pipeline pipeline DistilBertForSequenceClassification from NawinCom
+author: John Snow Labs
+name: bbc_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bbc_pipeline` is a English model originally trained by NawinCom.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bbc_pipeline_en_5.5.0_3.0_1726842187802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bbc_pipeline_en_5.5.0_3.0_1726842187802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bbc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bbc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bbc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/NawinCom/BBC
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-berit_52000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-berit_52000_pipeline_en.md
new file mode 100644
index 00000000000000..99368dfca7da1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-berit_52000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English berit_52000_pipeline pipeline RoBertaEmbeddings from gngpostalsrvc
+author: John Snow Labs
+name: berit_52000_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`berit_52000_pipeline` is a English model originally trained by gngpostalsrvc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berit_52000_pipeline_en_5.5.0_3.0_1726793310855.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berit_52000_pipeline_en_5.5.0_3.0_1726793310855.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("berit_52000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("berit_52000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berit_52000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|469.9 MB|
+
+## References
+
+https://huggingface.co/gngpostalsrvc/BERiT_52000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_250_redo_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_250_redo_en.md
new file mode 100644
index 00000000000000..ba4c60e2d8d758
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_250_redo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_250_redo DistilBertForSequenceClassification from intrinsic-disorder
+author: John Snow Labs
+name: bert_250_redo
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_250_redo` is a English model originally trained by intrinsic-disorder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_250_redo_en_5.5.0_3.0_1726861199242.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_250_redo_en_5.5.0_3.0_1726861199242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_250_redo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/intrinsic-disorder/bert-250-redo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_250k_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_250k_en.md
new file mode 100644
index 00000000000000..cfe454502f1aed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_250k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_250k DistilBertForSequenceClassification from intrinsic-disorder
+author: John Snow Labs
+name: bert_250k
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_250k` is a English model originally trained by intrinsic-disorder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_250k_en_5.5.0_3.0_1726842464779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_250k_en_5.5.0_3.0_1726842464779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_arabert_finetuned_mdeberta_tswana_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|504.6 MB|
+
+## References
+
+https://huggingface.co/betteib/bert-base-arabert-finetuned-mdeberta-tn-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_arabert_finetuned_mdeberta_tswana_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_arabert_finetuned_mdeberta_tswana_v2_pipeline_en.md
new file mode 100644
index 00000000000000..eb9873ff89def5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_arabert_finetuned_mdeberta_tswana_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_arabert_finetuned_mdeberta_tswana_v2_pipeline pipeline BertEmbeddings from betteib
+author: John Snow Labs
+name: bert_base_arabert_finetuned_mdeberta_tswana_v2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_arabert_finetuned_mdeberta_tswana_v2_pipeline` is a English model originally trained by betteib.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabert_finetuned_mdeberta_tswana_v2_pipeline_en_5.5.0_3.0_1726806524271.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabert_finetuned_mdeberta_tswana_v2_pipeline_en_5.5.0_3.0_1726806524271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_arabert_finetuned_mdeberta_tswana_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_arabert_finetuned_mdeberta_tswana_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_arabert_finetuned_mdeberta_tswana_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|504.6 MB|
+
+## References
+
+https://huggingface.co/betteib/bert-base-arabert-finetuned-mdeberta-tn-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_multilingual_squad_v2_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_multilingual_squad_v2_pipeline_xx.md
new file mode 100644
index 00000000000000..469dd6d0a5ad50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_multilingual_squad_v2_pipeline_xx.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Multilingual bert_base_multilingual_squad_v2_pipeline pipeline BertForQuestionAnswering from jedstrom
+author: John Snow Labs
+name: bert_base_multilingual_squad_v2_pipeline
+date: 2024-09-20
+tags: [xx, open_source, pipeline, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_multilingual_squad_v2_pipeline` is a Multilingual model originally trained by jedstrom.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_squad_v2_pipeline_xx_5.5.0_3.0_1726833744728.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_squad_v2_pipeline_xx_5.5.0_3.0_1726833744728.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_multilingual_squad_v2_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_multilingual_squad_v2_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_squad_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/jedstrom/bert-base-multilingual-squad-v2
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_multilingual_squad_v2_xx.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_multilingual_squad_v2_xx.md
new file mode 100644
index 00000000000000..c4801dd567e060
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_multilingual_squad_v2_xx.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: Multilingual bert_base_multilingual_squad_v2 BertForQuestionAnswering from jedstrom
+author: John Snow Labs
+name: bert_base_multilingual_squad_v2
+date: 2024-09-20
+tags: [xx, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_multilingual_squad_v2` is a Multilingual model originally trained by jedstrom.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_squad_v2_xx_5.5.0_3.0_1726833712279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_squad_v2_xx_5.5.0_3.0_1726833712279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_uncased_finetuned_qa_sqac|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased-finetuned-qa-sqac
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_spanish_wwm_uncased_finetuned_qa_sqac_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_spanish_wwm_uncased_finetuned_qa_sqac_pipeline_en.md
new file mode 100644
index 00000000000000..a00febd32c77ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_spanish_wwm_uncased_finetuned_qa_sqac_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_uncased_finetuned_qa_sqac_pipeline pipeline BertForQuestionAnswering from dccuchile
+author: John Snow Labs
+name: bert_base_spanish_wwm_uncased_finetuned_qa_sqac_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_spanish_wwm_uncased_finetuned_qa_sqac_pipeline` is a English model originally trained by dccuchile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_finetuned_qa_sqac_pipeline_en_5.5.0_3.0_1726833971009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_finetuned_qa_sqac_pipeline_en_5.5.0_3.0_1726833971009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_spanish_wwm_uncased_finetuned_qa_sqac_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_spanish_wwm_uncased_finetuned_qa_sqac_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_uncased_finetuned_qa_sqac_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased-finetuned-qa-sqac
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_squad_theseus_bulgarian_bg.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_squad_theseus_bulgarian_bg.md
new file mode 100644
index 00000000000000..6eda9f68377c8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_squad_theseus_bulgarian_bg.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: Bulgarian bert_base_squad_theseus_bulgarian BertForQuestionAnswering from rmihaylov
+author: John Snow Labs
+name: bert_base_squad_theseus_bulgarian
+date: 2024-09-20
+tags: [bg, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: bg
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_squad_theseus_bulgarian` is a Bulgarian model originally trained by rmihaylov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_squad_theseus_bulgarian_bg_5.5.0_3.0_1726834091590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_squad_theseus_bulgarian_bg_5.5.0_3.0_1726834091590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_220240731160529|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.220240731160529
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_squad_v1_1_portuguese_ibama_v0_220240731160529_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_squad_v1_1_portuguese_ibama_v0_220240731160529_pipeline_en.md
new file mode 100644
index 00000000000000..304be171200707
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_squad_v1_1_portuguese_ibama_v0_220240731160529_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_squad_v1_1_portuguese_ibama_v0_220240731160529_pipeline pipeline BertForQuestionAnswering from alcalazans
+author: John Snow Labs
+name: bert_base_squad_v1_1_portuguese_ibama_v0_220240731160529_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_squad_v1_1_portuguese_ibama_v0_220240731160529_pipeline` is a English model originally trained by alcalazans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_220240731160529_pipeline_en_5.5.0_3.0_1726834359056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_220240731160529_pipeline_en_5.5.0_3.0_1726834359056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_220240731160529_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_220240731160529_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_220240731160529_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.220240731160529
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_emotionsmodified_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_emotionsmodified_pipeline_en.md
new file mode 100644
index 00000000000000..917b4e4ebc27d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_emotionsmodified_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_emotionsmodified_pipeline pipeline BertForSequenceClassification from zbnsl
+author: John Snow Labs
+name: bert_base_uncased_emotionsmodified_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_emotionsmodified_pipeline` is a English model originally trained by zbnsl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotionsmodified_pipeline_en_5.5.0_3.0_1726794983609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotionsmodified_pipeline_en_5.5.0_3.0_1726794983609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_emotionsmodified_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_emotionsmodified_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_emotionsmodified_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/zbnsl/bert-base-uncased-emotionsModified
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en.md
new file mode 100644
index 00000000000000..f799b5f6f4df0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0
+date: 2024-09-20
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en_5.5.0_3.0_1726833897722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en_5.5.0_3.0_1726833897722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-1.12-b-32-lr-4e-07-dp-0.5-ss-0-st-True-fh-False-hs-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md
new file mode 100644
index 00000000000000..c3b119c575b6d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en_5.5.0_3.0_1726833920233.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en_5.5.0_3.0_1726833920233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_1_12_b_32_lr_4e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-1.12-b-32-lr-4e-07-dp-0.5-ss-0-st-True-fh-False-hs-0
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_0004_swati_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_0004_swati_0_pipeline_en.md
new file mode 100644
index 00000000000000..5ebef49f6c6a47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_0004_swati_0_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_0004_swati_0_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_0004_swati_0_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_0004_swati_0_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_0004_swati_0_pipeline_en_5.5.0_3.0_1726833894766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_0004_swati_0_pipeline_en_5.5.0_3.0_1726833894766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_0004_swati_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_0004_swati_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_0004_swati_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-1.0-lr-1e-05-wd-0.001-dp-0.0004-ss-0
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_5_swati_0_southern_sotho_true_fh_true_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_5_swati_0_southern_sotho_true_fh_true_en.md
new file mode 100644
index 00000000000000..d82c42268dad6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_5_swati_0_southern_sotho_true_fh_true_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_5_swati_0_southern_sotho_true_fh_true BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_5_swati_0_southern_sotho_true_fh_true
+date: 2024-09-20
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_5_swati_0_southern_sotho_true_fh_true` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_5_swati_0_southern_sotho_true_fh_true_en_5.5.0_3.0_1726833695106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_5_swati_0_southern_sotho_true_fh_true_en_5.5.0_3.0_1726833695106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_2_25_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_600|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-2.25-lr-4e-07-wd-1e-05-dp-0.3-ss-0-st-False-fh-False-hs-600
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_glue_sst2_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_glue_sst2_en.md
new file mode 100644
index 00000000000000..bd0b7ccd6d90b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_glue_sst2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_glue_sst2 BertForSequenceClassification from pmthangk09
+author: John Snow Labs
+name: bert_base_uncased_glue_sst2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_glue_sst2` is a English model originally trained by pmthangk09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_glue_sst2_en_5.5.0_3.0_1726829390120.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_glue_sst2_en_5.5.0_3.0_1726829390120.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_glue_sst2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/pmthangk09/bert-base-uncased-glue-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_glue_sst2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_glue_sst2_pipeline_en.md
new file mode 100644
index 00000000000000..dbde31a426d09d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_glue_sst2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_glue_sst2_pipeline pipeline BertForSequenceClassification from pmthangk09
+author: John Snow Labs
+name: bert_base_uncased_glue_sst2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_glue_sst2_pipeline` is a English model originally trained by pmthangk09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_glue_sst2_pipeline_en_5.5.0_3.0_1726829408860.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_glue_sst2_pipeline_en_5.5.0_3.0_1726829408860.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_glue_sst2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_glue_sst2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_glue_sst2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/pmthangk09/bert-base-uncased-glue-sst2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_retrained_squad_meghanaanil_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_retrained_squad_meghanaanil_en.md
new file mode 100644
index 00000000000000..3e3c8c0d9e4e34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_retrained_squad_meghanaanil_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_retrained_squad_meghanaanil BertForQuestionAnswering from meghanaanil
+author: John Snow Labs
+name: bert_base_uncased_retrained_squad_meghanaanil
+date: 2024-09-20
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_retrained_squad_meghanaanil` is a English model originally trained by meghanaanil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_retrained_squad_meghanaanil_en_5.5.0_3.0_1726833906603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_retrained_squad_meghanaanil_en_5.5.0_3.0_1726833906603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_retrained_squad_meghanaanil|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/meghanaanil/bert-base-uncased-retrained-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_retrained_squad_meghanaanil_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_retrained_squad_meghanaanil_pipeline_en.md
new file mode 100644
index 00000000000000..0d09960d4145a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_retrained_squad_meghanaanil_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_retrained_squad_meghanaanil_pipeline pipeline BertForQuestionAnswering from meghanaanil
+author: John Snow Labs
+name: bert_base_uncased_retrained_squad_meghanaanil_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_retrained_squad_meghanaanil_pipeline` is a English model originally trained by meghanaanil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_retrained_squad_meghanaanil_pipeline_en_5.5.0_3.0_1726833926732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_retrained_squad_meghanaanil_pipeline_en_5.5.0_3.0_1726833926732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_retrained_squad_meghanaanil_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_retrained_squad_meghanaanil_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_retrained_squad_meghanaanil_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/meghanaanil/bert-base-uncased-retrained-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_en.md
new file mode 100644
index 00000000000000..3d2b81e3cbe905
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25 BertForTokenClassification from ali2066
+author: John Snow Labs
+name: bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_en_5.5.0_3.0_1726840104716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_en_5.5.0_3.0_1726840104716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/bert-base-uncased_token_itr0_0.0001_all_01_03_2022-14_21_25
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_pipeline_en.md
new file mode 100644
index 00000000000000..9ab27a6e644d48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_pipeline pipeline BertForTokenClassification from ali2066
+author: John Snow Labs
+name: bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_pipeline` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_pipeline_en_5.5.0_3.0_1726840124720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_pipeline_en_5.5.0_3.0_1726840124720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_token_itr0_0_0001_all_01_03_2022_14_21_25_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/bert-base-uncased_token_itr0_0.0001_all_01_03_2022-14_21_25
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_classification_pipeline_en.md
new file mode 100644
index 00000000000000..16914ce02b7f8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_classification_pipeline pipeline DistilBertForSequenceClassification from mdp0999
+author: John Snow Labs
+name: bert_classification_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classification_pipeline` is a English model originally trained by mdp0999.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classification_pipeline_en_5.5.0_3.0_1726860945093.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classification_pipeline_en_5.5.0_3.0_1726860945093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mdp0999/bert_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_en.md
new file mode 100644
index 00000000000000..147120b05eec82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined DistilBertForSequenceClassification from ArafatBHossain
+author: John Snow Labs
+name: bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined` is a English model originally trained by ArafatBHossain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_en_5.5.0_3.0_1726840874698.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_en_5.5.0_3.0_1726840874698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ArafatBHossain/bert-distilled-multi_teacher_model_random_emotion_epoch7_alpha0.8_refined
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_pipeline_en.md
new file mode 100644
index 00000000000000..685939b03cce33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_pipeline pipeline DistilBertForSequenceClassification from ArafatBHossain
+author: John Snow Labs
+name: bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_pipeline` is a English model originally trained by ArafatBHossain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_pipeline_en_5.5.0_3.0_1726840889865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_pipeline_en_5.5.0_3.0_1726840889865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_distilled_multi_teacher_model_random_emotion_epoch7_alpha0_8_refined_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ArafatBHossain/bert-distilled-multi_teacher_model_random_emotion_epoch7_alpha0.8_refined
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_distilled_multi_teacher_model_sentiment_hp_optimized_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_distilled_multi_teacher_model_sentiment_hp_optimized_pipeline_en.md
new file mode 100644
index 00000000000000..027bb04c53ab0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_distilled_multi_teacher_model_sentiment_hp_optimized_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_distilled_multi_teacher_model_sentiment_hp_optimized_pipeline pipeline DistilBertForSequenceClassification from ArafatBHossain
+author: John Snow Labs
+name: bert_distilled_multi_teacher_model_sentiment_hp_optimized_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_distilled_multi_teacher_model_sentiment_hp_optimized_pipeline` is a English model originally trained by ArafatBHossain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_distilled_multi_teacher_model_sentiment_hp_optimized_pipeline_en_5.5.0_3.0_1726791978374.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_distilled_multi_teacher_model_sentiment_hp_optimized_pipeline_en_5.5.0_3.0_1726791978374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_distilled_multi_teacher_model_sentiment_hp_optimized_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_distilled_multi_teacher_model_sentiment_hp_optimized_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_distilled_multi_teacher_model_sentiment_hp_optimized_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ArafatBHossain/bert-distilled-multi_teacher_model_sentiment_hp_optimized
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_fine_tuned_cola_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_fine_tuned_cola_en.md
new file mode 100644
index 00000000000000..5b4fc9b8f23777
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_fine_tuned_cola_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_fine_tuned_cola DistilBertForSequenceClassification from erden00
+author: John Snow Labs
+name: bert_fine_tuned_cola
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_fine_tuned_cola` is a English model originally trained by erden00.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_fine_tuned_cola_en_5.5.0_3.0_1726841550819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_fine_tuned_cola_en_5.5.0_3.0_1726841550819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_fine_tuned_cola|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/erden00/bert-fine-tuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_finetuned_ner_mbalos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_finetuned_ner_mbalos_pipeline_en.md
new file mode 100644
index 00000000000000..9df023f19e476c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_finetuned_ner_mbalos_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_mbalos_pipeline pipeline BertForTokenClassification from mbalos
+author: John Snow Labs
+name: bert_finetuned_ner_mbalos_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_mbalos_pipeline` is a English model originally trained by mbalos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_mbalos_pipeline_en_5.5.0_3.0_1726840256916.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_mbalos_pipeline_en_5.5.0_3.0_1726840256916.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_mbalos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_mbalos_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_mbalos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mbalos/bert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_finetuned_resume_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_finetuned_resume_en.md
new file mode 100644
index 00000000000000..4c451640d62eb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_finetuned_resume_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_resume DistilBertForSequenceClassification from bayesian4042
+author: John Snow Labs
+name: bert_finetuned_resume
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_resume` is a English model originally trained by bayesian4042.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_resume_en_5.5.0_3.0_1726832390913.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_resume_en_5.5.0_3.0_1726832390913.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_resume|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bayesian4042/bert_finetuned_resume
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_finetuned_resume_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_finetuned_resume_pipeline_en.md
new file mode 100644
index 00000000000000..d09c83b70a05f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_finetuned_resume_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_resume_pipeline pipeline DistilBertForSequenceClassification from bayesian4042
+author: John Snow Labs
+name: bert_finetuned_resume_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_resume_pipeline` is a English model originally trained by bayesian4042.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_resume_pipeline_en_5.5.0_3.0_1726832403290.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_resume_pipeline_en_5.5.0_3.0_1726832403290.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_resume_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_resume_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_resume_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bayesian4042/bert_finetuned_resume
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_math_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_math_pipeline_en.md
new file mode 100644
index 00000000000000..14ca460deabc7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_math_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_math_pipeline pipeline DistilBertForSequenceClassification from CrissWang
+author: John Snow Labs
+name: bert_math_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_math_pipeline` is a English model originally trained by CrissWang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_math_pipeline_en_5.5.0_3.0_1726871627491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_math_pipeline_en_5.5.0_3.0_1726871627491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_math_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_math_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_math_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/CrissWang/bert-math
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_multiclass_classification_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_multiclass_classification_en.md
new file mode 100644
index 00000000000000..66f61127fc4c1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_multiclass_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_multiclass_classification BertForSequenceClassification from Ronysalem
+author: John Snow Labs
+name: bert_multiclass_classification
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_multiclass_classification` is a English model originally trained by Ronysalem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_multiclass_classification_en_5.5.0_3.0_1726797160131.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_multiclass_classification_en_5.5.0_3.0_1726797160131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_next_word_prediction|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/MattNandavong/bert-next-word-prediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_sbic_targetcategory_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_sbic_targetcategory_en.md
new file mode 100644
index 00000000000000..09ecd87a983003
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_sbic_targetcategory_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sbic_targetcategory BertForSequenceClassification from Cameron
+author: John Snow Labs
+name: bert_sbic_targetcategory
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sbic_targetcategory` is a English model originally trained by Cameron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sbic_targetcategory_en_5.5.0_3.0_1726860450040.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sbic_targetcategory_en_5.5.0_3.0_1726860450040.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sbic_targetcategory|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Cameron/BERT-SBIC-targetcategory
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_sbic_targetcategory_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_sbic_targetcategory_pipeline_en.md
new file mode 100644
index 00000000000000..eff2c0d4b44bb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_sbic_targetcategory_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_sbic_targetcategory_pipeline pipeline BertForSequenceClassification from Cameron
+author: John Snow Labs
+name: bert_sbic_targetcategory_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sbic_targetcategory_pipeline` is a English model originally trained by Cameron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sbic_targetcategory_pipeline_en_5.5.0_3.0_1726860469150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sbic_targetcategory_pipeline_en_5.5.0_3.0_1726860469150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_sbic_targetcategory_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_sbic_targetcategory_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sbic_targetcategory_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Cameron/BERT-SBIC-targetcategory
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_sentiment_persian_farsi_rasooli3003_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_sentiment_persian_farsi_rasooli3003_en.md
new file mode 100644
index 00000000000000..e76f522a8a2bd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_sentiment_persian_farsi_rasooli3003_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sentiment_persian_farsi_rasooli3003 BertForSequenceClassification from Rasooli3003
+author: John Snow Labs
+name: bert_sentiment_persian_farsi_rasooli3003
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sentiment_persian_farsi_rasooli3003` is a English model originally trained by Rasooli3003.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sentiment_persian_farsi_rasooli3003_en_5.5.0_3.0_1726829010909.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sentiment_persian_farsi_rasooli3003_en_5.5.0_3.0_1726829010909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sentiment_persian_farsi_rasooli3003|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|608.7 MB|
+
+## References
+
+https://huggingface.co/Rasooli3003/Bert-Sentiment-Fa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_test_abethman_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_test_abethman_en.md
new file mode 100644
index 00000000000000..4a7113f6fecd00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_test_abethman_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_test_abethman DistilBertForSequenceClassification from abethman
+author: John Snow Labs
+name: bert_test_abethman
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_test_abethman` is a English model originally trained by abethman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_test_abethman_en_5.5.0_3.0_1726860726205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_test_abethman_en_5.5.0_3.0_1726860726205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_test_abethman|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abethman/bert_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_test_abethman_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_test_abethman_pipeline_en.md
new file mode 100644
index 00000000000000..cbe358a1b6dc8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_test_abethman_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_test_abethman_pipeline pipeline DistilBertForSequenceClassification from abethman
+author: John Snow Labs
+name: bert_test_abethman_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_test_abethman_pipeline` is a English model originally trained by abethman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_test_abethman_pipeline_en_5.5.0_3.0_1726860740027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_test_abethman_pipeline_en_5.5.0_3.0_1726860740027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_test_abethman_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_test_abethman_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_test_abethman_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abethman/bert_test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bert_tiny_squadv2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bert_tiny_squadv2_pipeline_en.md
new file mode 100644
index 00000000000000..105858d36daadb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bert_tiny_squadv2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_tiny_squadv2_pipeline pipeline BertForQuestionAnswering from VenkatManda
+author: John Snow Labs
+name: bert_tiny_squadv2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_squadv2_pipeline` is a English model originally trained by VenkatManda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_squadv2_pipeline_en_5.5.0_3.0_1726820438568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_squadv2_pipeline_en_5.5.0_3.0_1726820438568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_tiny_squadv2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_tiny_squadv2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_squadv2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/VenkatManda/bert-tiny-squadV2
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_41_keys_phase_2_v1_en.md b/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_41_keys_phase_2_v1_en.md
new file mode 100644
index 00000000000000..aa15471d6507cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_41_keys_phase_2_v1_en.md
@@ -0,0 +1,87 @@
+---
+layout: model
+title: English bge_base_english_41_keys_phase_2_v1 BGEEmbeddings from RishuD7
+author: John Snow Labs
+name: bge_base_english_41_keys_phase_2_v1
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, bge]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BGEEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_base_english_41_keys_phase_2_v1` is a English model originally trained by RishuD7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_english_41_keys_phase_2_v1_en_5.5.0_3.0_1726831490154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_english_41_keys_phase_2_v1_en_5.5.0_3.0_1726831490154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_english_41_keys_phase_2_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[bge]|
+|Language:|en|
+|Size:|391.3 MB|
+
+## References
+
+https://huggingface.co/RishuD7/bge-base-en-41-keys-phase-2-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_41_keys_phase_2_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_41_keys_phase_2_v1_pipeline_en.md
new file mode 100644
index 00000000000000..bc814de5412120
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_41_keys_phase_2_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bge_base_english_41_keys_phase_2_v1_pipeline pipeline BGEEmbeddings from RishuD7
+author: John Snow Labs
+name: bge_base_english_41_keys_phase_2_v1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_base_english_41_keys_phase_2_v1_pipeline` is a English model originally trained by RishuD7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_english_41_keys_phase_2_v1_pipeline_en_5.5.0_3.0_1726831515475.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_english_41_keys_phase_2_v1_pipeline_en_5.5.0_3.0_1726831515475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_base_english_41_keys_phase_2_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_base_english_41_keys_phase_2_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_english_41_keys_phase_2_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|391.3 MB|
+
+## References
+
+https://huggingface.co/RishuD7/bge-base-en-41-keys-phase-2-v1
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_v1_5_41_keys_phase_2_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_v1_5_41_keys_phase_2_v1_pipeline_en.md
new file mode 100644
index 00000000000000..317072d907a35b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_v1_5_41_keys_phase_2_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bge_base_english_v1_5_41_keys_phase_2_v1_pipeline pipeline BGEEmbeddings from RishuD7
+author: John Snow Labs
+name: bge_base_english_v1_5_41_keys_phase_2_v1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_base_english_v1_5_41_keys_phase_2_v1_pipeline` is a English model originally trained by RishuD7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_english_v1_5_41_keys_phase_2_v1_pipeline_en_5.5.0_3.0_1726831516653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_english_v1_5_41_keys_phase_2_v1_pipeline_en_5.5.0_3.0_1726831516653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_base_english_v1_5_41_keys_phase_2_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_base_english_v1_5_41_keys_phase_2_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_english_v1_5_41_keys_phase_2_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/RishuD7/bge-base-en-v1.5-41-keys-phase-2-v1
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_v1_5_course_recommender_v1_en.md b/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_v1_5_course_recommender_v1_en.md
new file mode 100644
index 00000000000000..15f78c247f39f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_v1_5_course_recommender_v1_en.md
@@ -0,0 +1,87 @@
+---
+layout: model
+title: English bge_base_english_v1_5_course_recommender_v1 BGEEmbeddings from sachin19566
+author: John Snow Labs
+name: bge_base_english_v1_5_course_recommender_v1
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, bge]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BGEEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_base_english_v1_5_course_recommender_v1` is a English model originally trained by sachin19566.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_english_v1_5_course_recommender_v1_en_5.5.0_3.0_1726831503772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_english_v1_5_course_recommender_v1_en_5.5.0_3.0_1726831503772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_english_v1_5_course_recommender_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[bge]|
+|Language:|en|
+|Size:|376.1 MB|
+
+## References
+
+https://huggingface.co/sachin19566/bge-base-en-v1.5-course-recommender-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_v1_5_course_recommender_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_v1_5_course_recommender_v1_pipeline_en.md
new file mode 100644
index 00000000000000..edaabab8f89712
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bge_base_english_v1_5_course_recommender_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bge_base_english_v1_5_course_recommender_v1_pipeline pipeline BGEEmbeddings from sachin19566
+author: John Snow Labs
+name: bge_base_english_v1_5_course_recommender_v1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_base_english_v1_5_course_recommender_v1_pipeline` is a English model originally trained by sachin19566.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_english_v1_5_course_recommender_v1_pipeline_en_5.5.0_3.0_1726831533061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_english_v1_5_course_recommender_v1_pipeline_en_5.5.0_3.0_1726831533061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_base_english_v1_5_course_recommender_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_base_english_v1_5_course_recommender_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_english_v1_5_course_recommender_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|376.1 MB|
+
+## References
+
+https://huggingface.co/sachin19566/bge-base-en-v1.5-course-recommender-v1
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bhavik_finetuning_sentiment_model_1_en.md b/docs/_posts/ahmedlone127/2024-09-20-bhavik_finetuning_sentiment_model_1_en.md
new file mode 100644
index 00000000000000..918f10dbdc4a24
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bhavik_finetuning_sentiment_model_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bhavik_finetuning_sentiment_model_1 DistilBertForSequenceClassification from bhavikardeshna
+author: John Snow Labs
+name: bhavik_finetuning_sentiment_model_1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bhavik_finetuning_sentiment_model_1` is a English model originally trained by bhavikardeshna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bhavik_finetuning_sentiment_model_1_en_5.5.0_3.0_1726861004087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bhavik_finetuning_sentiment_model_1_en_5.5.0_3.0_1726861004087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bhavik_finetuning_sentiment_model_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bhavikardeshna/bhavik-finetuning-sentiment-model-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bias_model_1_en.md b/docs/_posts/ahmedlone127/2024-09-20-bias_model_1_en.md
new file mode 100644
index 00000000000000..974e272e136f3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bias_model_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bias_model_1 DistilBertForSequenceClassification from najeebY
+author: John Snow Labs
+name: bias_model_1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bias_model_1` is a English model originally trained by najeebY.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bias_model_1_en_5.5.0_3.0_1726830064659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bias_model_1_en_5.5.0_3.0_1726830064659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bias_model_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/najeebY/bias_model_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bias_model_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bias_model_1_pipeline_en.md
new file mode 100644
index 00000000000000..d6780743acf48d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bias_model_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bias_model_1_pipeline pipeline DistilBertForSequenceClassification from najeebY
+author: John Snow Labs
+name: bias_model_1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bias_model_1_pipeline` is a English model originally trained by najeebY.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bias_model_1_pipeline_en_5.5.0_3.0_1726830076743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bias_model_1_pipeline_en_5.5.0_3.0_1726830076743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bias_model_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bias_model_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bias_model_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/najeebY/bias_model_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bobo_emb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bobo_emb_pipeline_en.md
new file mode 100644
index 00000000000000..99bad34e5a56de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bobo_emb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bobo_emb_pipeline pipeline BertForSequenceClassification from Bobouo
+author: John Snow Labs
+name: bobo_emb_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bobo_emb_pipeline` is a English model originally trained by Bobouo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bobo_emb_pipeline_en_5.5.0_3.0_1726829250443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bobo_emb_pipeline_en_5.5.0_3.0_1726829250443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bobo_emb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bobo_emb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bobo_emb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/Bobouo/Bobo_emb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bsc_bio_ehr_spanish_carmen_symptemist_es.md b/docs/_posts/ahmedlone127/2024-09-20-bsc_bio_ehr_spanish_carmen_symptemist_es.md
new file mode 100644
index 00000000000000..a396a60d455108
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bsc_bio_ehr_spanish_carmen_symptemist_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish bsc_bio_ehr_spanish_carmen_symptemist RoBertaForTokenClassification from BSC-NLP4BIA
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_carmen_symptemist
+date: 2024-09-20
+tags: [es, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_carmen_symptemist` is a Castilian, Spanish model originally trained by BSC-NLP4BIA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_carmen_symptemist_es_5.5.0_3.0_1726862795907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_carmen_symptemist_es_5.5.0_3.0_1726862795907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_carmen_symptemist|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|449.4 MB|
+
+## References
+
+https://huggingface.co/BSC-NLP4BIA/bsc-bio-ehr-es-carmen-symptemist
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_en.md b/docs/_posts/ahmedlone127/2024-09-20-bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_en.md
new file mode 100644
index 00000000000000..70a7ebbeb67dec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner RoBertaForTokenClassification from Rodrigo1771
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner` is a English model originally trained by Rodrigo1771.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_en_5.5.0_3.0_1726847447745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_en_5.5.0_3.0_1726847447745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|440.6 MB|
+
+## References
+
+https://huggingface.co/Rodrigo1771/bsc-bio-ehr-es-combined-train-distemist-dev-word2vec-85-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bsc_bio_ehr_spanish_symptemist_fasttext_75_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bsc_bio_ehr_spanish_symptemist_fasttext_75_ner_pipeline_en.md
new file mode 100644
index 00000000000000..8cf4271737b34c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bsc_bio_ehr_spanish_symptemist_fasttext_75_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bsc_bio_ehr_spanish_symptemist_fasttext_75_ner_pipeline pipeline RoBertaForTokenClassification from Rodrigo1771
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_symptemist_fasttext_75_ner_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_symptemist_fasttext_75_ner_pipeline` is a English model originally trained by Rodrigo1771.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_symptemist_fasttext_75_ner_pipeline_en_5.5.0_3.0_1726847503107.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_symptemist_fasttext_75_ner_pipeline_en_5.5.0_3.0_1726847503107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bsc_bio_ehr_spanish_symptemist_fasttext_75_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bsc_bio_ehr_spanish_symptemist_fasttext_75_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_symptemist_fasttext_75_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|435.7 MB|
+
+## References
+
+https://huggingface.co/Rodrigo1771/bsc-bio-ehr-es-symptemist-fasttext-75-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_eli5_mlm_model_aldaalmira_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_eli5_mlm_model_aldaalmira_en.md
new file mode 100644
index 00000000000000..397306529ca6b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_eli5_mlm_model_aldaalmira_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_aldaalmira RoBertaEmbeddings from aldaalmira
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_aldaalmira
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_aldaalmira` is a English model originally trained by aldaalmira.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_aldaalmira_en_5.5.0_3.0_1726857403124.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_aldaalmira_en_5.5.0_3.0_1726857403124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_aldaalmira|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/aldaalmira/my_awesome_eli5_mlm_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_eli5_mlm_model_zdaniar_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_eli5_mlm_model_zdaniar_pipeline_en.md
new file mode 100644
index 00000000000000..fcfbd91aa53ffc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_eli5_mlm_model_zdaniar_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_zdaniar_pipeline pipeline RoBertaEmbeddings from zdaniar
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_zdaniar_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_zdaniar_pipeline` is a English model originally trained by zdaniar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_zdaniar_pipeline_en_5.5.0_3.0_1726796437314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_zdaniar_pipeline_en_5.5.0_3.0_1726796437314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_eli5_mlm_model_zdaniar_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_zdaniar_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_zdaniar_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.3 MB|
+
+## References
+
+https://huggingface.co/zdaniar/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_akhil9514_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_akhil9514_en.md
new file mode 100644
index 00000000000000..39471c45d5333d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_akhil9514_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_akhil9514 DistilBertForSequenceClassification from Akhil9514
+author: John Snow Labs
+name: burmese_awesome_model_akhil9514
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_akhil9514` is a English model originally trained by Akhil9514.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_akhil9514_en_5.5.0_3.0_1726832737646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_akhil9514_en_5.5.0_3.0_1726832737646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_akhil9514|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Akhil9514/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_bartmachielsen_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_bartmachielsen_en.md
new file mode 100644
index 00000000000000..2dceb67d609734
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_bartmachielsen_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_bartmachielsen DistilBertForSequenceClassification from bartmachielsen
+author: John Snow Labs
+name: burmese_awesome_model_bartmachielsen
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_bartmachielsen` is a English model originally trained by bartmachielsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_bartmachielsen_en_5.5.0_3.0_1726809385590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_bartmachielsen_en_5.5.0_3.0_1726809385590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_bartmachielsen|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bartmachielsen/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_bartmachielsen_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_bartmachielsen_pipeline_en.md
new file mode 100644
index 00000000000000..ea81c18db272cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_bartmachielsen_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_bartmachielsen_pipeline pipeline DistilBertForSequenceClassification from bartmachielsen
+author: John Snow Labs
+name: burmese_awesome_model_bartmachielsen_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_bartmachielsen_pipeline` is a English model originally trained by bartmachielsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_bartmachielsen_pipeline_en_5.5.0_3.0_1726809397411.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_bartmachielsen_pipeline_en_5.5.0_3.0_1726809397411.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_bartmachielsen_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_bartmachielsen_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_bartmachielsen_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bartmachielsen/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_blitzapurva_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_blitzapurva_en.md
new file mode 100644
index 00000000000000..2756749e6d2d0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_blitzapurva_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_blitzapurva DistilBertForSequenceClassification from blitzapurva
+author: John Snow Labs
+name: burmese_awesome_model_blitzapurva
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_blitzapurva` is a English model originally trained by blitzapurva.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_blitzapurva_en_5.5.0_3.0_1726848732914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_blitzapurva_en_5.5.0_3.0_1726848732914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_blitzapurva|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/blitzapurva/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_charlie82_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_charlie82_en.md
new file mode 100644
index 00000000000000..4ed6b83195cc8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_charlie82_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_charlie82 DistilBertForSequenceClassification from charlie82
+author: John Snow Labs
+name: burmese_awesome_model_charlie82
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_charlie82` is a English model originally trained by charlie82.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_charlie82_en_5.5.0_3.0_1726830200215.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_charlie82_en_5.5.0_3.0_1726830200215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_charlie82|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/charlie82/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_charlie82_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_charlie82_pipeline_en.md
new file mode 100644
index 00000000000000..d999261a94d92b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_charlie82_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_charlie82_pipeline pipeline DistilBertForSequenceClassification from charlie82
+author: John Snow Labs
+name: burmese_awesome_model_charlie82_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_charlie82_pipeline` is a English model originally trained by charlie82.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_charlie82_pipeline_en_5.5.0_3.0_1726830212915.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_charlie82_pipeline_en_5.5.0_3.0_1726830212915.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_charlie82_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_charlie82_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_charlie82_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/charlie82/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_diodiodada_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_diodiodada_en.md
new file mode 100644
index 00000000000000..423826818ef45a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_diodiodada_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_diodiodada DistilBertForSequenceClassification from diodiodada
+author: John Snow Labs
+name: burmese_awesome_model_diodiodada
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_diodiodada` is a English model originally trained by diodiodada.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_diodiodada_en_5.5.0_3.0_1726809211954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_diodiodada_en_5.5.0_3.0_1726809211954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_diodiodada|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/diodiodada/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_feelwoo_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_feelwoo_en.md
new file mode 100644
index 00000000000000..c6ef8f244e9ca5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_feelwoo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_feelwoo DistilBertForSequenceClassification from feelwoo
+author: John Snow Labs
+name: burmese_awesome_model_feelwoo
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_feelwoo` is a English model originally trained by feelwoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_feelwoo_en_5.5.0_3.0_1726842266619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_feelwoo_en_5.5.0_3.0_1726842266619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_feelwoo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/feelwoo/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_gauravr12060102_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_gauravr12060102_en.md
new file mode 100644
index 00000000000000..3c84e0c41a38d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_gauravr12060102_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_gauravr12060102 DistilBertForSequenceClassification from GauravR12060102
+author: John Snow Labs
+name: burmese_awesome_model_gauravr12060102
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_gauravr12060102` is a English model originally trained by GauravR12060102.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_gauravr12060102_en_5.5.0_3.0_1726832394540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_gauravr12060102_en_5.5.0_3.0_1726832394540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_gauravr12060102|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/GauravR12060102/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_imdb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_imdb_pipeline_en.md
new file mode 100644
index 00000000000000..59129ef7ab2fed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_imdb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_imdb_pipeline pipeline DistilBertForSequenceClassification from Sif10
+author: John Snow Labs
+name: burmese_awesome_model_imdb_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_imdb_pipeline` is a English model originally trained by Sif10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_imdb_pipeline_en_5.5.0_3.0_1726809116712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_imdb_pipeline_en_5.5.0_3.0_1726809116712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_imdb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_imdb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_imdb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Sif10/my_awesome_model_imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_rk212_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_rk212_en.md
new file mode 100644
index 00000000000000..e8d8edc6c7e85a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_rk212_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_rk212 DistilBertForSequenceClassification from rk212
+author: John Snow Labs
+name: burmese_awesome_model_rk212
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_rk212` is a English model originally trained by rk212.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_rk212_en_5.5.0_3.0_1726833038495.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_rk212_en_5.5.0_3.0_1726833038495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_rk212|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rk212/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_robinsh2023_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_robinsh2023_en.md
new file mode 100644
index 00000000000000..5ef4dcca6f7be8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_robinsh2023_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_robinsh2023 DistilBertForSequenceClassification from Robinsh2023
+author: John Snow Labs
+name: burmese_awesome_model_robinsh2023
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_robinsh2023` is a English model originally trained by Robinsh2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_robinsh2023_en_5.5.0_3.0_1726808984439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_robinsh2023_en_5.5.0_3.0_1726808984439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_robinsh2023|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Robinsh2023/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_ruhullah1_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_ruhullah1_en.md
new file mode 100644
index 00000000000000..16cbf503fe2a49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_ruhullah1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_ruhullah1 DistilBertForSequenceClassification from ruhullah1
+author: John Snow Labs
+name: burmese_awesome_model_ruhullah1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ruhullah1` is a English model originally trained by ruhullah1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ruhullah1_en_5.5.0_3.0_1726841464927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ruhullah1_en_5.5.0_3.0_1726841464927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_ruhullah1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ruhullah1/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_s_kinoshita_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_s_kinoshita_en.md
new file mode 100644
index 00000000000000..85405dbb2e5a40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_s_kinoshita_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_s_kinoshita DistilBertForSequenceClassification from s-kinoshita
+author: John Snow Labs
+name: burmese_awesome_model_s_kinoshita
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_s_kinoshita` is a English model originally trained by s-kinoshita.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_s_kinoshita_en_5.5.0_3.0_1726809207565.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_s_kinoshita_en_5.5.0_3.0_1726809207565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_s_kinoshita|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/s-kinoshita/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_sibumi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_sibumi_pipeline_en.md
new file mode 100644
index 00000000000000..15e24d76fb31ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_sibumi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_sibumi_pipeline pipeline DistilBertForSequenceClassification from sibumi
+author: John Snow Labs
+name: burmese_awesome_model_sibumi_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_sibumi_pipeline` is a English model originally trained by sibumi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_sibumi_pipeline_en_5.5.0_3.0_1726791888082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_sibumi_pipeline_en_5.5.0_3.0_1726791888082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_sibumi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_sibumi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_sibumi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sibumi/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_soosookentelmanis_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_soosookentelmanis_en.md
new file mode 100644
index 00000000000000..521e5a43b572af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_soosookentelmanis_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_soosookentelmanis DistilBertForSequenceClassification from soosookentelmanis
+author: John Snow Labs
+name: burmese_awesome_model_soosookentelmanis
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_soosookentelmanis` is a English model originally trained by soosookentelmanis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_soosookentelmanis_en_5.5.0_3.0_1726809203883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_soosookentelmanis_en_5.5.0_3.0_1726809203883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_soosookentelmanis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/soosookentelmanis/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_souh333_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_souh333_en.md
new file mode 100644
index 00000000000000..ca12d2b4342054
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_souh333_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_souh333 DistilBertForSequenceClassification from Souh333
+author: John Snow Labs
+name: burmese_awesome_model_souh333
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_souh333` is a English model originally trained by Souh333.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_souh333_en_5.5.0_3.0_1726832827508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_souh333_en_5.5.0_3.0_1726832827508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_souh333|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Souh333/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_thepixel42_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_thepixel42_pipeline_en.md
new file mode 100644
index 00000000000000..216876f466fd90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_thepixel42_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_thepixel42_pipeline pipeline DistilBertForSequenceClassification from thePixel42
+author: John Snow Labs
+name: burmese_awesome_model_thepixel42_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_thepixel42_pipeline` is a English model originally trained by thePixel42.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thepixel42_pipeline_en_5.5.0_3.0_1726809096587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_thepixel42_pipeline_en_5.5.0_3.0_1726809096587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_thepixel42_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_thepixel42_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_thepixel42_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thePixel42/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_zera09_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_zera09_en.md
new file mode 100644
index 00000000000000..74c42fccada25c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_zera09_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_zera09 DistilBertForSequenceClassification from zera09
+author: John Snow Labs
+name: burmese_awesome_model_zera09
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_zera09` is a English model originally trained by zera09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zera09_en_5.5.0_3.0_1726832738505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zera09_en_5.5.0_3.0_1726832738505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_zera09|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/zera09/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_zera09_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_zera09_pipeline_en.md
new file mode 100644
index 00000000000000..b95ce953debe10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_zera09_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_zera09_pipeline pipeline DistilBertForSequenceClassification from zera09
+author: John Snow Labs
+name: burmese_awesome_model_zera09_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_zera09_pipeline` is a English model originally trained by zera09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zera09_pipeline_en_5.5.0_3.0_1726832754007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_zera09_pipeline_en_5.5.0_3.0_1726832754007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_zera09_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_zera09_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_zera09_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/zera09/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_finetuned_banking77_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_finetuned_banking77_distilbert_en.md
new file mode 100644
index 00000000000000..22dcf78f41422b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_finetuned_banking77_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_finetuned_banking77_distilbert DistilBertForSequenceClassification from Ghareeb-M
+author: John Snow Labs
+name: burmese_finetuned_banking77_distilbert
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_finetuned_banking77_distilbert` is a English model originally trained by Ghareeb-M.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_finetuned_banking77_distilbert_en_5.5.0_3.0_1726840991542.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_finetuned_banking77_distilbert_en_5.5.0_3.0_1726840991542.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_finetuned_banking77_distilbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/Ghareeb-M/my-finetuned-banking77-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_finetuned_banking77_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_finetuned_banking77_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..aaeb055d6959a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_finetuned_banking77_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_finetuned_banking77_distilbert_pipeline pipeline DistilBertForSequenceClassification from Ghareeb-M
+author: John Snow Labs
+name: burmese_finetuned_banking77_distilbert_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_finetuned_banking77_distilbert_pipeline` is a English model originally trained by Ghareeb-M.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_finetuned_banking77_distilbert_pipeline_en_5.5.0_3.0_1726841003393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_finetuned_banking77_distilbert_pipeline_en_5.5.0_3.0_1726841003393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_finetuned_banking77_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_finetuned_banking77_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_finetuned_banking77_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/Ghareeb-M/my-finetuned-banking77-distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_finetuned_emotion_distilbert_ghareeb_m_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_finetuned_emotion_distilbert_ghareeb_m_en.md
new file mode 100644
index 00000000000000..c459e28f7b0139
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_finetuned_emotion_distilbert_ghareeb_m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_finetuned_emotion_distilbert_ghareeb_m DistilBertForSequenceClassification from Ghareeb-M
+author: John Snow Labs
+name: burmese_finetuned_emotion_distilbert_ghareeb_m
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_finetuned_emotion_distilbert_ghareeb_m` is a English model originally trained by Ghareeb-M.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_finetuned_emotion_distilbert_ghareeb_m_en_5.5.0_3.0_1726871373697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_finetuned_emotion_distilbert_ghareeb_m_en_5.5.0_3.0_1726871373697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_finetuned_emotion_distilbert_ghareeb_m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/Ghareeb-M/my-finetuned-emotion-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_finetuned_emotion_distilbert_ghareeb_m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_finetuned_emotion_distilbert_ghareeb_m_pipeline_en.md
new file mode 100644
index 00000000000000..a78d242c7c9707
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_finetuned_emotion_distilbert_ghareeb_m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_finetuned_emotion_distilbert_ghareeb_m_pipeline pipeline DistilBertForSequenceClassification from Ghareeb-M
+author: John Snow Labs
+name: burmese_finetuned_emotion_distilbert_ghareeb_m_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_finetuned_emotion_distilbert_ghareeb_m_pipeline` is a English model originally trained by Ghareeb-M.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_finetuned_emotion_distilbert_ghareeb_m_pipeline_en_5.5.0_3.0_1726871385438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_finetuned_emotion_distilbert_ghareeb_m_pipeline_en_5.5.0_3.0_1726871385438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_finetuned_emotion_distilbert_ghareeb_m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_finetuned_emotion_distilbert_ghareeb_m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_finetuned_emotion_distilbert_ghareeb_m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/Ghareeb-M/my-finetuned-emotion-distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_first_test_model_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_first_test_model_en.md
new file mode 100644
index 00000000000000..7ac4c8aea2c45f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_first_test_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_first_test_model DistilBertForSequenceClassification from Neroism8422
+author: John Snow Labs
+name: burmese_first_test_model
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_first_test_model` is a English model originally trained by Neroism8422.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_first_test_model_en_5.5.0_3.0_1726842454840.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_first_test_model_en_5.5.0_3.0_1726842454840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_first_test_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Neroism8422/my_first_test_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_first_test_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_first_test_model_pipeline_en.md
new file mode 100644
index 00000000000000..60dafd9c910157
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_first_test_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_first_test_model_pipeline pipeline DistilBertForSequenceClassification from Neroism8422
+author: John Snow Labs
+name: burmese_first_test_model_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_first_test_model_pipeline` is a English model originally trained by Neroism8422.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_first_test_model_pipeline_en_5.5.0_3.0_1726842466727.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_first_test_model_pipeline_en_5.5.0_3.0_1726842466727.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_first_test_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_first_test_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_first_test_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Neroism8422/my_first_test_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_model_jiangwf_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_model_jiangwf_en.md
new file mode 100644
index 00000000000000..99385211ac246e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_model_jiangwf_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_model_jiangwf DistilBertForSequenceClassification from jiangwf
+author: John Snow Labs
+name: burmese_model_jiangwf
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model_jiangwf` is a English model originally trained by jiangwf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_jiangwf_en_5.5.0_3.0_1726842079040.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_jiangwf_en_5.5.0_3.0_1726842079040.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_model_jiangwf|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jiangwf/my_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_model_mlituma_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_model_mlituma_pipeline_en.md
new file mode 100644
index 00000000000000..d3c2165c83af7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_model_mlituma_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_model_mlituma_pipeline pipeline DistilBertForSequenceClassification from mlituma
+author: John Snow Labs
+name: burmese_model_mlituma_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model_mlituma_pipeline` is a English model originally trained by mlituma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_mlituma_pipeline_en_5.5.0_3.0_1726841335082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_mlituma_pipeline_en_5.5.0_3.0_1726841335082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_model_mlituma_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_model_mlituma_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_model_mlituma_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mlituma/my_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-case_analysis_distilbert_base_cased_en.md b/docs/_posts/ahmedlone127/2024-09-20-case_analysis_distilbert_base_cased_en.md
new file mode 100644
index 00000000000000..4b373f00e651f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-case_analysis_distilbert_base_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English case_analysis_distilbert_base_cased DistilBertForSequenceClassification from cite-text-analysis
+author: John Snow Labs
+name: case_analysis_distilbert_base_cased
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`case_analysis_distilbert_base_cased` is a English model originally trained by cite-text-analysis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/case_analysis_distilbert_base_cased_en_5.5.0_3.0_1726840872217.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/case_analysis_distilbert_base_cased_en_5.5.0_3.0_1726840872217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|case_analysis_distilbert_base_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/cite-text-analysis/case-analysis-distilbert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-case_analysis_distilbert_base_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-case_analysis_distilbert_base_cased_pipeline_en.md
new file mode 100644
index 00000000000000..04d3cc12f13db4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-case_analysis_distilbert_base_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English case_analysis_distilbert_base_cased_pipeline pipeline DistilBertForSequenceClassification from cite-text-analysis
+author: John Snow Labs
+name: case_analysis_distilbert_base_cased_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`case_analysis_distilbert_base_cased_pipeline` is a English model originally trained by cite-text-analysis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/case_analysis_distilbert_base_cased_pipeline_en_5.5.0_3.0_1726840890356.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/case_analysis_distilbert_base_cased_pipeline_en_5.5.0_3.0_1726840890356.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("case_analysis_distilbert_base_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("case_analysis_distilbert_base_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|case_analysis_distilbert_base_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/cite-text-analysis/case-analysis-distilbert-base-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-cat_sayula_popoluca_xlmr_3_en.md b/docs/_posts/ahmedlone127/2024-09-20-cat_sayula_popoluca_xlmr_3_en.md
new file mode 100644
index 00000000000000..fa9a8dc5ae047b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-cat_sayula_popoluca_xlmr_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cat_sayula_popoluca_xlmr_3 XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_sayula_popoluca_xlmr_3
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cat_sayula_popoluca_xlmr_3` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_xlmr_3_en_5.5.0_3.0_1726843766638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_xlmr_3_en_5.5.0_3.0_1726843766638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_sayula_popoluca_xlmr_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|815.8 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-pos-xlmr-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-cat_sayula_popoluca_xlmr_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-cat_sayula_popoluca_xlmr_3_pipeline_en.md
new file mode 100644
index 00000000000000..314c385a8a67d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-cat_sayula_popoluca_xlmr_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cat_sayula_popoluca_xlmr_3_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_sayula_popoluca_xlmr_3_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cat_sayula_popoluca_xlmr_3_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_xlmr_3_pipeline_en_5.5.0_3.0_1726843879501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_xlmr_3_pipeline_en_5.5.0_3.0_1726843879501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cat_sayula_popoluca_xlmr_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cat_sayula_popoluca_xlmr_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_sayula_popoluca_xlmr_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|815.8 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-pos-xlmr-3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-cat_sayula_popoluca_xlmr_4_en.md b/docs/_posts/ahmedlone127/2024-09-20-cat_sayula_popoluca_xlmr_4_en.md
new file mode 100644
index 00000000000000..ac09e2501f8465
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-cat_sayula_popoluca_xlmr_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cat_sayula_popoluca_xlmr_4 XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_sayula_popoluca_xlmr_4
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cat_sayula_popoluca_xlmr_4` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_xlmr_4_en_5.5.0_3.0_1726843289305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_xlmr_4_en_5.5.0_3.0_1726843289305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_sayula_popoluca_xlmr_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|815.8 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-pos-xlmr-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-cat_sayula_popoluca_xlmr_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-cat_sayula_popoluca_xlmr_4_pipeline_en.md
new file mode 100644
index 00000000000000..c645f9815a57c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-cat_sayula_popoluca_xlmr_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cat_sayula_popoluca_xlmr_4_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_sayula_popoluca_xlmr_4_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cat_sayula_popoluca_xlmr_4_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_xlmr_4_pipeline_en_5.5.0_3.0_1726843406955.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_xlmr_4_pipeline_en_5.5.0_3.0_1726843406955.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cat_sayula_popoluca_xlmr_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cat_sayula_popoluca_xlmr_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_sayula_popoluca_xlmr_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|815.8 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-pos-xlmr-4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-chungliao_mbert_base_cased_en.md b/docs/_posts/ahmedlone127/2024-09-20-chungliao_mbert_base_cased_en.md
new file mode 100644
index 00000000000000..43d8963018ed84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-chungliao_mbert_base_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English chungliao_mbert_base_cased BertEmbeddings from N1ch0
+author: John Snow Labs
+name: chungliao_mbert_base_cased
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chungliao_mbert_base_cased` is a English model originally trained by N1ch0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chungliao_mbert_base_cased_en_5.5.0_3.0_1726806199029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chungliao_mbert_base_cased_en_5.5.0_3.0_1726806199029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chungliao_mbert_base_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/N1ch0/chungliao-mbert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-classif_mmate_1_5_original_cont_3_sent_en.md b/docs/_posts/ahmedlone127/2024-09-20-classif_mmate_1_5_original_cont_3_sent_en.md
new file mode 100644
index 00000000000000..58b8a3a05f9ef1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-classif_mmate_1_5_original_cont_3_sent_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English classif_mmate_1_5_original_cont_3_sent BertForSequenceClassification from spneshaei
+author: John Snow Labs
+name: classif_mmate_1_5_original_cont_3_sent
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classif_mmate_1_5_original_cont_3_sent` is a English model originally trained by spneshaei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classif_mmate_1_5_original_cont_3_sent_en_5.5.0_3.0_1726860328721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classif_mmate_1_5_original_cont_3_sent_en_5.5.0_3.0_1726860328721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classif_mmate_1_5_original_cont_3_sent|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/spneshaei/classif_mmate_1_5_original_cont_3_sent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-coha1810to1850_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-coha1810to1850_pipeline_en.md
new file mode 100644
index 00000000000000..b84ab90e456a53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-coha1810to1850_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English coha1810to1850_pipeline pipeline RoBertaEmbeddings from simonmun
+author: John Snow Labs
+name: coha1810to1850_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`coha1810to1850_pipeline` is a English model originally trained by simonmun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/coha1810to1850_pipeline_en_5.5.0_3.0_1726796625924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/coha1810to1850_pipeline_en_5.5.0_3.0_1726796625924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("coha1810to1850_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("coha1810to1850_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coha1810to1850_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.7 MB|
+
+## References
+
+https://huggingface.co/simonmun/COHA1810to1850
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-commit_message_quality_codebert_en.md b/docs/_posts/ahmedlone127/2024-09-20-commit_message_quality_codebert_en.md
new file mode 100644
index 00000000000000..3bf69ec6a4442f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-commit_message_quality_codebert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English commit_message_quality_codebert RoBertaForSequenceClassification from saridormi
+author: John Snow Labs
+name: commit_message_quality_codebert
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`commit_message_quality_codebert` is a English model originally trained by saridormi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/commit_message_quality_codebert_en_5.5.0_3.0_1726852451894.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/commit_message_quality_codebert_en_5.5.0_3.0_1726852451894.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|commit_message_quality_codebert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/saridormi/commit-message-quality-codebert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-commit_message_quality_codebert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-commit_message_quality_codebert_pipeline_en.md
new file mode 100644
index 00000000000000..cabd1663734a45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-commit_message_quality_codebert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English commit_message_quality_codebert_pipeline pipeline RoBertaForSequenceClassification from saridormi
+author: John Snow Labs
+name: commit_message_quality_codebert_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`commit_message_quality_codebert_pipeline` is a English model originally trained by saridormi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/commit_message_quality_codebert_pipeline_en_5.5.0_3.0_1726852473650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/commit_message_quality_codebert_pipeline_en_5.5.0_3.0_1726852473650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("commit_message_quality_codebert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("commit_message_quality_codebert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|commit_message_quality_codebert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/saridormi/commit-message-quality-codebert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-covid_roberta_60_masked_en.md b/docs/_posts/ahmedlone127/2024-09-20-covid_roberta_60_masked_en.md
new file mode 100644
index 00000000000000..ab84fab5a36c5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-covid_roberta_60_masked_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English covid_roberta_60_masked RoBertaEmbeddings from timoneda
+author: John Snow Labs
+name: covid_roberta_60_masked
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_roberta_60_masked` is a English model originally trained by timoneda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_roberta_60_masked_en_5.5.0_3.0_1726796725166.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_roberta_60_masked_en_5.5.0_3.0_1726796725166.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_roberta_60_masked|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/timoneda/covid_roberta_60_masked
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-covid_roberta_60_masked_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-covid_roberta_60_masked_pipeline_en.md
new file mode 100644
index 00000000000000..da2883e1504b58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-covid_roberta_60_masked_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English covid_roberta_60_masked_pipeline pipeline RoBertaEmbeddings from timoneda
+author: John Snow Labs
+name: covid_roberta_60_masked_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_roberta_60_masked_pipeline` is a English model originally trained by timoneda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_roberta_60_masked_pipeline_en_5.5.0_3.0_1726796785205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_roberta_60_masked_pipeline_en_5.5.0_3.0_1726796785205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("covid_roberta_60_masked_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("covid_roberta_60_masked_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_roberta_60_masked_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/timoneda/covid_roberta_60_masked
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-criminal_case_classifier1_en.md b/docs/_posts/ahmedlone127/2024-09-20-criminal_case_classifier1_en.md
new file mode 100644
index 00000000000000..5f88c0401d5739
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-criminal_case_classifier1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English criminal_case_classifier1 DistilBertForSequenceClassification from LahiruProjects
+author: John Snow Labs
+name: criminal_case_classifier1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`criminal_case_classifier1` is a English model originally trained by LahiruProjects.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/criminal_case_classifier1_en_5.5.0_3.0_1726840993335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/criminal_case_classifier1_en_5.5.0_3.0_1726840993335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|criminal_case_classifier1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LahiruProjects/criminal-case-classifier1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-custommodel_v2c_k_en.md b/docs/_posts/ahmedlone127/2024-09-20-custommodel_v2c_k_en.md
new file mode 100644
index 00000000000000..138076364b80b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-custommodel_v2c_k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English custommodel_v2c_k DistilBertForSequenceClassification from katowtkkk
+author: John Snow Labs
+name: custommodel_v2c_k
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`custommodel_v2c_k` is a English model originally trained by katowtkkk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/custommodel_v2c_k_en_5.5.0_3.0_1726832619234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/custommodel_v2c_k_en_5.5.0_3.0_1726832619234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|custommodel_v2c_k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|233.9 KB|
+
+## References
+
+https://huggingface.co/katowtkkk/CustomModel_v2c_k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-db_mc2_4_2_en.md b/docs/_posts/ahmedlone127/2024-09-20-db_mc2_4_2_en.md
new file mode 100644
index 00000000000000..c11b9243a1a701
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-db_mc2_4_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English db_mc2_4_2 DistilBertForSequenceClassification from exala
+author: John Snow Labs
+name: db_mc2_4_2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`db_mc2_4_2` is a English model originally trained by exala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/db_mc2_4_2_en_5.5.0_3.0_1726830359753.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/db_mc2_4_2_en_5.5.0_3.0_1726830359753.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|db_mc2_4_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/exala/db_mc2_4.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-db_mc2_4_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-db_mc2_4_2_pipeline_en.md
new file mode 100644
index 00000000000000..53ef8d3b783d50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-db_mc2_4_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English db_mc2_4_2_pipeline pipeline DistilBertForSequenceClassification from exala
+author: John Snow Labs
+name: db_mc2_4_2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`db_mc2_4_2_pipeline` is a English model originally trained by exala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/db_mc2_4_2_pipeline_en_5.5.0_3.0_1726830375315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/db_mc2_4_2_pipeline_en_5.5.0_3.0_1726830375315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("db_mc2_4_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("db_mc2_4_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|db_mc2_4_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/exala/db_mc2_4.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-dialogue_overfit_check_fold_4_en.md b/docs/_posts/ahmedlone127/2024-09-20-dialogue_overfit_check_fold_4_en.md
new file mode 100644
index 00000000000000..d3e6f6554512b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-dialogue_overfit_check_fold_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dialogue_overfit_check_fold_4 DistilBertForSequenceClassification from SharonTudi
+author: John Snow Labs
+name: dialogue_overfit_check_fold_4
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dialogue_overfit_check_fold_4` is a English model originally trained by SharonTudi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dialogue_overfit_check_fold_4_en_5.5.0_3.0_1726848807936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dialogue_overfit_check_fold_4_en_5.5.0_3.0_1726848807936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dialogue_overfit_check_fold_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SharonTudi/DIALOGUE_overfit_check_fold_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert5_pipeline_en.md
new file mode 100644
index 00000000000000..eb72546d055685
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert5_pipeline pipeline DistilBertForSequenceClassification from deptage
+author: John Snow Labs
+name: distilbert5_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert5_pipeline` is a English model originally trained by deptage.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert5_pipeline_en_5.5.0_3.0_1726848931460.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert5_pipeline_en_5.5.0_3.0_1726848931460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/deptage/distilbert5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_airlines_news_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_airlines_news_en.md
new file mode 100644
index 00000000000000..3368b96682707e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_airlines_news_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_airlines_news DistilBertForSequenceClassification from dahe827
+author: John Snow Labs
+name: distilbert_base_airlines_news
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_airlines_news` is a English model originally trained by dahe827.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_airlines_news_en_5.5.0_3.0_1726830511483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_airlines_news_en_5.5.0_3.0_1726830511483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_airlines_news|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dahe827/DistilBERT-base-airlines-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_airlines_news_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_airlines_news_pipeline_en.md
new file mode 100644
index 00000000000000..0f70cf4a1cb296
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_airlines_news_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_airlines_news_pipeline pipeline DistilBertForSequenceClassification from dahe827
+author: John Snow Labs
+name: distilbert_base_airlines_news_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_airlines_news_pipeline` is a English model originally trained by dahe827.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_airlines_news_pipeline_en_5.5.0_3.0_1726830523617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_airlines_news_pipeline_en_5.5.0_3.0_1726830523617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_airlines_news_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_airlines_news_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_airlines_news_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dahe827/DistilBERT-base-airlines-news
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_cased_airlines_news_multi_label_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_cased_airlines_news_multi_label_en.md
new file mode 100644
index 00000000000000..a111c93c7adb55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_cased_airlines_news_multi_label_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_cased_airlines_news_multi_label DistilBertForSequenceClassification from dahe827
+author: John Snow Labs
+name: distilbert_base_cased_airlines_news_multi_label
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_airlines_news_multi_label` is a English model originally trained by dahe827.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_airlines_news_multi_label_en_5.5.0_3.0_1726792379823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_airlines_news_multi_label_en_5.5.0_3.0_1726792379823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_cased_resumesclasssifierv1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|507.7 MB|
+
+## References
+
+https://huggingface.co/youssefkhalil320/distilbert-base-multilingual-cased-resumesClasssifierV1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_denyszakharkevych_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_denyszakharkevych_en.md
new file mode 100644
index 00000000000000..23df0594bae4e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_denyszakharkevych_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_denyszakharkevych DistilBertForSequenceClassification from DenysZakharkevych
+author: John Snow Labs
+name: distilbert_base_uncased_denyszakharkevych
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_denyszakharkevych` is a English model originally trained by DenysZakharkevych.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_denyszakharkevych_en_5.5.0_3.0_1726832394084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_denyszakharkevych_en_5.5.0_3.0_1726832394084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_denyszakharkevych|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DenysZakharkevych/distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_distilled_clinc_akashjoy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_distilled_clinc_akashjoy_pipeline_en.md
new file mode 100644
index 00000000000000..2e077b0e987779
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_distilled_clinc_akashjoy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_akashjoy_pipeline pipeline DistilBertForSequenceClassification from akashjoy
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_akashjoy_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_akashjoy_pipeline` is a English model originally trained by akashjoy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_akashjoy_pipeline_en_5.5.0_3.0_1726842482842.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_akashjoy_pipeline_en_5.5.0_3.0_1726842482842.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_distilled_clinc_akashjoy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_distilled_clinc_akashjoy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_akashjoy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/akashjoy/distilbert-base-uncased-distilled-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_en.md
new file mode 100644
index 00000000000000..2c7b79c06d4721
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_kwkwkwkwpark DistilBertForSequenceClassification from kwkwkwkwpark
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_kwkwkwkwpark
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_kwkwkwkwpark` is a English model originally trained by kwkwkwkwpark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_en_5.5.0_3.0_1726830368048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_en_5.5.0_3.0_1726830368048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_kwkwkwkwpark|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/kwkwkwkwpark/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_pipeline_en.md
new file mode 100644
index 00000000000000..c5fd923566995f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_pipeline pipeline DistilBertForSequenceClassification from kwkwkwkwpark
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_pipeline` is a English model originally trained by kwkwkwkwpark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_pipeline_en_5.5.0_3.0_1726830380529.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_pipeline_en_5.5.0_3.0_1726830380529.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_kwkwkwkwpark_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/kwkwkwkwpark/distilbert-base-uncased-distilled-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_distilled_clinc_maarten1953_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_distilled_clinc_maarten1953_pipeline_en.md
new file mode 100644
index 00000000000000..28ab397373e9b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_distilled_clinc_maarten1953_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_maarten1953_pipeline pipeline DistilBertForSequenceClassification from Maarten1953
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_maarten1953_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_maarten1953_pipeline` is a English model originally trained by Maarten1953.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_maarten1953_pipeline_en_5.5.0_3.0_1726871670481.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_maarten1953_pipeline_en_5.5.0_3.0_1726871670481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_distilled_clinc_maarten1953_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_distilled_clinc_maarten1953_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_maarten1953_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Maarten1953/distilbert-base-uncased-distilled-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_emotion_ft_0520_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_emotion_ft_0520_en.md
new file mode 100644
index 00000000000000..63221b8b154bb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_emotion_ft_0520_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_emotion_ft_0520 DistilBertForSequenceClassification from TangXiaoMing123
+author: John Snow Labs
+name: distilbert_base_uncased_emotion_ft_0520
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0520` is a English model originally trained by TangXiaoMing123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0520_en_5.5.0_3.0_1726823697570.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0520_en_5.5.0_3.0_1726823697570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_emotion_ft_0520|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TangXiaoMing123/distilbert-base-uncased_emotion_ft_0520
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cate_classfication_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cate_classfication_en.md
new file mode 100644
index 00000000000000..54c7dac2f850dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cate_classfication_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cate_classfication DistilBertForSequenceClassification from shnguo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cate_classfication
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cate_classfication` is a English model originally trained by shnguo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cate_classfication_en_5.5.0_3.0_1726823565030.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cate_classfication_en_5.5.0_3.0_1726823565030.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cate_classfication|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|253.6 MB|
+
+## References
+
+https://huggingface.co/shnguo/distilbert-base-uncased-finetuned-cate-classfication
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_0xd1rac_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_0xd1rac_en.md
new file mode 100644
index 00000000000000..8aa4fb01ae3030
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_0xd1rac_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_0xd1rac DistilBertForSequenceClassification from 0xd1rac
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_0xd1rac
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_0xd1rac` is a English model originally trained by 0xd1rac.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_0xd1rac_en_5.5.0_3.0_1726832704345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_0xd1rac_en_5.5.0_3.0_1726832704345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_0xd1rac|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/0xd1rac/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_0xd1rac_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_0xd1rac_pipeline_en.md
new file mode 100644
index 00000000000000..067c09dddfdebc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_0xd1rac_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_0xd1rac_pipeline pipeline DistilBertForSequenceClassification from 0xd1rac
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_0xd1rac_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_0xd1rac_pipeline` is a English model originally trained by 0xd1rac.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_0xd1rac_pipeline_en_5.5.0_3.0_1726832717102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_0xd1rac_pipeline_en_5.5.0_3.0_1726832717102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_0xd1rac_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_0xd1rac_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_0xd1rac_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/0xd1rac/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_fibleep_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_fibleep_en.md
new file mode 100644
index 00000000000000..4c8c1dcc43083a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_fibleep_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_fibleep DistilBertForSequenceClassification from fibleep
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_fibleep
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_fibleep` is a English model originally trained by fibleep.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_fibleep_en_5.5.0_3.0_1726861127477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_fibleep_en_5.5.0_3.0_1726861127477.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_fibleep|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/fibleep/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_khalidr_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_khalidr_en.md
new file mode 100644
index 00000000000000..54f721a20c4e87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_clinc_khalidr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_khalidr DistilBertForSequenceClassification from khalidr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_khalidr
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_khalidr` is a English model originally trained by khalidr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_khalidr_en_5.5.0_3.0_1726841555661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_khalidr_en_5.5.0_3.0_1726841555661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_khalidr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/khalidr/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_faresg42_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_faresg42_en.md
new file mode 100644
index 00000000000000..dc70cb9c2913cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_faresg42_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_faresg42 DistilBertForSequenceClassification from FaresG42
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_faresg42
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_faresg42` is a English model originally trained by FaresG42.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_faresg42_en_5.5.0_3.0_1726848524016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_faresg42_en_5.5.0_3.0_1726848524016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_faresg42|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/FaresG42/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_faresg42_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_faresg42_pipeline_en.md
new file mode 100644
index 00000000000000..0474448eed5dc6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_faresg42_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_faresg42_pipeline pipeline DistilBertForSequenceClassification from FaresG42
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_faresg42_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_faresg42_pipeline` is a English model originally trained by FaresG42.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_faresg42_pipeline_en_5.5.0_3.0_1726848540930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_faresg42_pipeline_en_5.5.0_3.0_1726848540930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_faresg42_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_faresg42_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_faresg42_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/FaresG42/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_k_kiron_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_k_kiron_en.md
new file mode 100644
index 00000000000000..51de99a2f404c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_k_kiron_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_k_kiron DistilBertForSequenceClassification from K-kiron
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_k_kiron
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_k_kiron` is a English model originally trained by K-kiron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_k_kiron_en_5.5.0_3.0_1726823935284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_k_kiron_en_5.5.0_3.0_1726823935284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_k_kiron|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/K-kiron/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_majid097_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_majid097_en.md
new file mode 100644
index 00000000000000..a3f70a393e0a83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_majid097_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_majid097 DistilBertForSequenceClassification from Majid097
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_majid097
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_majid097` is a English model originally trained by Majid097.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_majid097_en_5.5.0_3.0_1726842123211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_majid097_en_5.5.0_3.0_1726842123211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_majid097|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Majid097/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_rubensmau_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_rubensmau_pipeline_en.md
new file mode 100644
index 00000000000000..ba72dab0e93297
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_rubensmau_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_rubensmau_pipeline pipeline DistilBertForSequenceClassification from rubensmau
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_rubensmau_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_rubensmau_pipeline` is a English model originally trained by rubensmau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_rubensmau_pipeline_en_5.5.0_3.0_1726809776774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_rubensmau_pipeline_en_5.5.0_3.0_1726809776774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_rubensmau_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_rubensmau_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_rubensmau_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rubensmau/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_shivamklr_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_shivamklr_en.md
new file mode 100644
index 00000000000000..2af57bf8187555
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_shivamklr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_shivamklr DistilBertForSequenceClassification from shivamklr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_shivamklr
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_shivamklr` is a English model originally trained by shivamklr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_shivamklr_en_5.5.0_3.0_1726792593747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_shivamklr_en_5.5.0_3.0_1726792593747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_shivamklr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/shivamklr/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_tristandewildt_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_tristandewildt_en.md
new file mode 100644
index 00000000000000..01387d6c8102c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_tristandewildt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_tristandewildt DistilBertForSequenceClassification from TristandeWildt
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_tristandewildt
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_tristandewildt` is a English model originally trained by TristandeWildt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_tristandewildt_en_5.5.0_3.0_1726823857983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_tristandewildt_en_5.5.0_3.0_1726823857983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_tristandewildt|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TristandeWildt/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_tristandewildt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_tristandewildt_pipeline_en.md
new file mode 100644
index 00000000000000..9227568f877507
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cola_tristandewildt_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_tristandewildt_pipeline pipeline DistilBertForSequenceClassification from TristandeWildt
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_tristandewildt_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_tristandewildt_pipeline` is a English model originally trained by TristandeWildt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_tristandewildt_pipeline_en_5.5.0_3.0_1726823869757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_tristandewildt_pipeline_en_5.5.0_3.0_1726823869757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_tristandewildt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_tristandewildt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_tristandewildt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TristandeWildt/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_0605_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_0605_en.md
new file mode 100644
index 00000000000000..be0123076fa867
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_0605_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_0605 DistilBertForSequenceClassification from kwkwkwkwpark
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_0605
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_0605` is a English model originally trained by kwkwkwkwpark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_0605_en_5.5.0_3.0_1726840987655.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_0605_en_5.5.0_3.0_1726840987655.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_0605|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kwkwkwkwpark/distilbert-base-uncased-finetuned-emotion-0605
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_0605_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_0605_pipeline_en.md
new file mode 100644
index 00000000000000..cb024e757d8e4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_0605_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_0605_pipeline pipeline DistilBertForSequenceClassification from kwkwkwkwpark
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_0605_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_0605_pipeline` is a English model originally trained by kwkwkwkwpark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_0605_pipeline_en_5.5.0_3.0_1726840999685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_0605_pipeline_en_5.5.0_3.0_1726840999685.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_0605_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_0605_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_0605_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kwkwkwkwpark/distilbert-base-uncased-finetuned-emotion-0605
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_andmog77_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_andmog77_en.md
new file mode 100644
index 00000000000000..f59d1b4669c961
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_andmog77_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_andmog77 DistilBertForSequenceClassification from andmog77
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_andmog77
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_andmog77` is a English model originally trained by andmog77.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_andmog77_en_5.5.0_3.0_1726829920271.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_andmog77_en_5.5.0_3.0_1726829920271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_andmog77|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/andmog77/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_andmog77_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_andmog77_pipeline_en.md
new file mode 100644
index 00000000000000..ee7dca4ccd00ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_andmog77_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_andmog77_pipeline pipeline DistilBertForSequenceClassification from andmog77
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_andmog77_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_andmog77_pipeline` is a English model originally trained by andmog77.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_andmog77_pipeline_en_5.5.0_3.0_1726829933595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_andmog77_pipeline_en_5.5.0_3.0_1726829933595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_andmog77_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_andmog77_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_andmog77_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/andmog77/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_awayes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_awayes_pipeline_en.md
new file mode 100644
index 00000000000000..c7d06e6ab2eab2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_awayes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_awayes_pipeline pipeline DistilBertForSequenceClassification from Awayes
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_awayes_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_awayes_pipeline` is a English model originally trained by Awayes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_awayes_pipeline_en_5.5.0_3.0_1726860916099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_awayes_pipeline_en_5.5.0_3.0_1726860916099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_awayes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_awayes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_awayes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Awayes/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_bosezhang_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_bosezhang_en.md
new file mode 100644
index 00000000000000..ded4815babec65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_bosezhang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_bosezhang DistilBertForSequenceClassification from bosezhang
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_bosezhang
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bosezhang` is a English model originally trained by bosezhang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bosezhang_en_5.5.0_3.0_1726841970169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bosezhang_en_5.5.0_3.0_1726841970169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_bosezhang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bosezhang/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_carver63_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_carver63_en.md
new file mode 100644
index 00000000000000..a1476d0c456a6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_carver63_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_carver63 DistilBertForSequenceClassification from carver63
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_carver63
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_carver63` is a English model originally trained by carver63.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_carver63_en_5.5.0_3.0_1726860756615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_carver63_en_5.5.0_3.0_1726860756615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_carver63|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/carver63/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_carver63_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_carver63_pipeline_en.md
new file mode 100644
index 00000000000000..49dee9e030ee8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_carver63_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_carver63_pipeline pipeline DistilBertForSequenceClassification from carver63
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_carver63_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_carver63_pipeline` is a English model originally trained by carver63.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_carver63_pipeline_en_5.5.0_3.0_1726860768346.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_carver63_pipeline_en_5.5.0_3.0_1726860768346.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_carver63_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_carver63_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_carver63_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/carver63/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_devborbot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_devborbot_pipeline_en.md
new file mode 100644
index 00000000000000..41f332709b6fe3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_devborbot_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_devborbot_pipeline pipeline DistilBertForSequenceClassification from devBorbot
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_devborbot_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_devborbot_pipeline` is a English model originally trained by devBorbot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_devborbot_pipeline_en_5.5.0_3.0_1726861025491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_devborbot_pipeline_en_5.5.0_3.0_1726861025491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_devborbot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_devborbot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_devborbot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/devBorbot/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_dorol_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_dorol_en.md
new file mode 100644
index 00000000000000..ec94591165282e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_dorol_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_dorol DistilBertForSequenceClassification from doroL
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_dorol
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dorol` is a English model originally trained by doroL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dorol_en_5.5.0_3.0_1726829992445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dorol_en_5.5.0_3.0_1726829992445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_dorol|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/doroL/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_dorol_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_dorol_pipeline_en.md
new file mode 100644
index 00000000000000..9f1543da413c65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_dorol_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_dorol_pipeline pipeline DistilBertForSequenceClassification from doroL
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_dorol_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dorol_pipeline` is a English model originally trained by doroL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dorol_pipeline_en_5.5.0_3.0_1726830005062.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dorol_pipeline_en_5.5.0_3.0_1726830005062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_dorol_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_dorol_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_dorol_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/doroL/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_duke123456_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_duke123456_en.md
new file mode 100644
index 00000000000000..eae9c0fd82dee8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_duke123456_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_duke123456 DistilBertForSequenceClassification from duke123456
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_duke123456
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_duke123456` is a English model originally trained by duke123456.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_duke123456_en_5.5.0_3.0_1726861099990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_duke123456_en_5.5.0_3.0_1726861099990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_duke123456|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/duke123456/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_duke123456_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_duke123456_pipeline_en.md
new file mode 100644
index 00000000000000..7982177f4e3899
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_duke123456_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_duke123456_pipeline pipeline DistilBertForSequenceClassification from duke123456
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_duke123456_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_duke123456_pipeline` is a English model originally trained by duke123456.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_duke123456_pipeline_en_5.5.0_3.0_1726861112883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_duke123456_pipeline_en_5.5.0_3.0_1726861112883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_duke123456_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_duke123456_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_duke123456_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/duke123456/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_duxinghua_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_duxinghua_en.md
new file mode 100644
index 00000000000000..55532c915a3dab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_duxinghua_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_duxinghua DistilBertForSequenceClassification from duxinghua
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_duxinghua
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_duxinghua` is a English model originally trained by duxinghua.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_duxinghua_en_5.5.0_3.0_1726830452699.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_duxinghua_en_5.5.0_3.0_1726830452699.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_duxinghua|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/duxinghua/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_duxinghua_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_duxinghua_pipeline_en.md
new file mode 100644
index 00000000000000..1cbc4488838ba7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_duxinghua_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_duxinghua_pipeline pipeline DistilBertForSequenceClassification from duxinghua
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_duxinghua_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_duxinghua_pipeline` is a English model originally trained by duxinghua.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_duxinghua_pipeline_en_5.5.0_3.0_1726830464829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_duxinghua_pipeline_en_5.5.0_3.0_1726830464829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_duxinghua_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_duxinghua_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_duxinghua_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/duxinghua/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_henrikho_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_henrikho_en.md
new file mode 100644
index 00000000000000..2fce4d9d354214
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_henrikho_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_henrikho DistilBertForSequenceClassification from henrikho
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_henrikho
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_henrikho` is a English model originally trained by henrikho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_henrikho_en_5.5.0_3.0_1726809426464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_henrikho_en_5.5.0_3.0_1726809426464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_henrikho|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/henrikho/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_karol9kk_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_karol9kk_en.md
new file mode 100644
index 00000000000000..2eaf75de1e73f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_karol9kk_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_karol9kk DistilBertForSequenceClassification from karol9kk
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_karol9kk
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_karol9kk` is a English model originally trained by karol9kk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_karol9kk_en_5.5.0_3.0_1726832953958.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_karol9kk_en_5.5.0_3.0_1726832953958.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_karol9kk|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/karol9kk/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_karol9kk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_karol9kk_pipeline_en.md
new file mode 100644
index 00000000000000..0e9e23d42ee11c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_karol9kk_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_karol9kk_pipeline pipeline DistilBertForSequenceClassification from karol9kk
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_karol9kk_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_karol9kk_pipeline` is a English model originally trained by karol9kk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_karol9kk_pipeline_en_5.5.0_3.0_1726832966602.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_karol9kk_pipeline_en_5.5.0_3.0_1726832966602.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_karol9kk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_karol9kk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_karol9kk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/karol9kk/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_khalidr_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_khalidr_en.md
new file mode 100644
index 00000000000000..16f2f360de76bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_khalidr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_khalidr DistilBertForSequenceClassification from khalidr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_khalidr
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_khalidr` is a English model originally trained by khalidr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_khalidr_en_5.5.0_3.0_1726809552537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_khalidr_en_5.5.0_3.0_1726809552537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_khalidr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/khalidr/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_khalidr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_khalidr_pipeline_en.md
new file mode 100644
index 00000000000000..cd58de15dbad81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_khalidr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_khalidr_pipeline pipeline DistilBertForSequenceClassification from khalidr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_khalidr_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_khalidr_pipeline` is a English model originally trained by khalidr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_khalidr_pipeline_en_5.5.0_3.0_1726809563870.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_khalidr_pipeline_en_5.5.0_3.0_1726809563870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_khalidr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_khalidr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_khalidr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/khalidr/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_lostsartre_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_lostsartre_pipeline_en.md
new file mode 100644
index 00000000000000..552c1df1592b25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_lostsartre_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_lostsartre_pipeline pipeline DistilBertForSequenceClassification from lostsartre
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_lostsartre_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_lostsartre_pipeline` is a English model originally trained by lostsartre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lostsartre_pipeline_en_5.5.0_3.0_1726841455028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lostsartre_pipeline_en_5.5.0_3.0_1726841455028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_lostsartre_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_lostsartre_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_lostsartre_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lostsartre/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_maichle_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_maichle_en.md
new file mode 100644
index 00000000000000..c0ba168ca6b8f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_maichle_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_maichle DistilBertForSequenceClassification from Maichle
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_maichle
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_maichle` is a English model originally trained by Maichle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maichle_en_5.5.0_3.0_1726841219379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maichle_en_5.5.0_3.0_1726841219379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_maichle|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Maichle/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_maichle_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_maichle_pipeline_en.md
new file mode 100644
index 00000000000000..e9737dc2ec75ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_maichle_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_maichle_pipeline pipeline DistilBertForSequenceClassification from Maichle
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_maichle_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_maichle_pipeline` is a English model originally trained by Maichle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maichle_pipeline_en_5.5.0_3.0_1726841234251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maichle_pipeline_en_5.5.0_3.0_1726841234251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_maichle_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_maichle_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_maichle_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Maichle/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_minseok0109_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_minseok0109_en.md
new file mode 100644
index 00000000000000..f7805d92df5f0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_minseok0109_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_minseok0109 DistilBertForSequenceClassification from minseok0109
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_minseok0109
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_minseok0109` is a English model originally trained by minseok0109.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_minseok0109_en_5.5.0_3.0_1726823585900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_minseok0109_en_5.5.0_3.0_1726823585900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_minseok0109|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/minseok0109/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_mive_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_mive_en.md
new file mode 100644
index 00000000000000..d2d08a8f7c9e09
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_mive_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_mive DistilBertForSequenceClassification from mive
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_mive
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mive` is a English model originally trained by mive.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mive_en_5.5.0_3.0_1726823941398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mive_en_5.5.0_3.0_1726823941398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_mive|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mive/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_mive_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_mive_pipeline_en.md
new file mode 100644
index 00000000000000..c0be26915d9219
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_mive_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_mive_pipeline pipeline DistilBertForSequenceClassification from mive
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_mive_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mive_pipeline` is a English model originally trained by mive.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mive_pipeline_en_5.5.0_3.0_1726823955471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mive_pipeline_en_5.5.0_3.0_1726823955471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_mive_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_mive_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_mive_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mive/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nkkbr_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nkkbr_en.md
new file mode 100644
index 00000000000000..3b7aa2625397a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nkkbr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_nkkbr DistilBertForSequenceClassification from nkkbr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_nkkbr
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nkkbr` is a English model originally trained by nkkbr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nkkbr_en_5.5.0_3.0_1726830524561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nkkbr_en_5.5.0_3.0_1726830524561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_nkkbr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nkkbr/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nkkbr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nkkbr_pipeline_en.md
new file mode 100644
index 00000000000000..d1d86b9e7bb293
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nkkbr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_nkkbr_pipeline pipeline DistilBertForSequenceClassification from nkkbr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_nkkbr_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nkkbr_pipeline` is a English model originally trained by nkkbr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nkkbr_pipeline_en_5.5.0_3.0_1726830538102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nkkbr_pipeline_en_5.5.0_3.0_1726830538102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_nkkbr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_nkkbr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_nkkbr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nkkbr/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nurik0210_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nurik0210_en.md
new file mode 100644
index 00000000000000..a9f065063ad963
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nurik0210_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_nurik0210 DistilBertForSequenceClassification from nurik0210
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_nurik0210
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nurik0210` is a English model originally trained by nurik0210.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nurik0210_en_5.5.0_3.0_1726871397657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nurik0210_en_5.5.0_3.0_1726871397657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_nurik0210|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nurik0210/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nurik0210_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nurik0210_pipeline_en.md
new file mode 100644
index 00000000000000..c6981ff4da5911
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_nurik0210_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_nurik0210_pipeline pipeline DistilBertForSequenceClassification from nurik0210
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_nurik0210_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nurik0210_pipeline` is a English model originally trained by nurik0210.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nurik0210_pipeline_en_5.5.0_3.0_1726871409801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nurik0210_pipeline_en_5.5.0_3.0_1726871409801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_nurik0210_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_nurik0210_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_nurik0210_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nurik0210/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_pbruna_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_pbruna_en.md
new file mode 100644
index 00000000000000..73951a738e15f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_pbruna_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_pbruna DistilBertForSequenceClassification from pbruna
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_pbruna
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_pbruna` is a English model originally trained by pbruna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pbruna_en_5.5.0_3.0_1726842259077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pbruna_en_5.5.0_3.0_1726842259077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_pbruna|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/pbruna/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_pbruna_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_pbruna_pipeline_en.md
new file mode 100644
index 00000000000000..b517835fd1eb27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_pbruna_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_pbruna_pipeline pipeline DistilBertForSequenceClassification from pbruna
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_pbruna_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_pbruna_pipeline` is a English model originally trained by pbruna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pbruna_pipeline_en_5.5.0_3.0_1726842271579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pbruna_pipeline_en_5.5.0_3.0_1726842271579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_pbruna_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_pbruna_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_pbruna_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/pbruna/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_raota_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_raota_pipeline_en.md
new file mode 100644
index 00000000000000..e8864b145c11a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_raota_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_raota_pipeline pipeline DistilBertForSequenceClassification from raota
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_raota_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_raota_pipeline` is a English model originally trained by raota.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_raota_pipeline_en_5.5.0_3.0_1726792233818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_raota_pipeline_en_5.5.0_3.0_1726792233818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_raota_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_raota_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_raota_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/raota/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_richwiss_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_richwiss_en.md
new file mode 100644
index 00000000000000..da0acf142c5928
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_richwiss_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_richwiss DistilBertForSequenceClassification from richwiss
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_richwiss
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_richwiss` is a English model originally trained by richwiss.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_richwiss_en_5.5.0_3.0_1726830181521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_richwiss_en_5.5.0_3.0_1726830181521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_richwiss|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/richwiss/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_sergiomer_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_sergiomer_en.md
new file mode 100644
index 00000000000000..8924bf815c069b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_sergiomer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sergiomer DistilBertForSequenceClassification from SergioMer
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sergiomer
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sergiomer` is a English model originally trained by SergioMer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sergiomer_en_5.5.0_3.0_1726861041197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sergiomer_en_5.5.0_3.0_1726861041197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sergiomer|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SergioMer/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_sergiomer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_sergiomer_pipeline_en.md
new file mode 100644
index 00000000000000..69b523e2eb11d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_sergiomer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sergiomer_pipeline pipeline DistilBertForSequenceClassification from SergioMer
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sergiomer_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sergiomer_pipeline` is a English model originally trained by SergioMer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sergiomer_pipeline_en_5.5.0_3.0_1726861052972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sergiomer_pipeline_en_5.5.0_3.0_1726861052972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_sergiomer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_sergiomer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sergiomer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SergioMer/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_shng2025_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_shng2025_pipeline_en.md
new file mode 100644
index 00000000000000..84c50b2bb3f790
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_shng2025_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_shng2025_pipeline pipeline DistilBertForSequenceClassification from shng2025
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_shng2025_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_shng2025_pipeline` is a English model originally trained by shng2025.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shng2025_pipeline_en_5.5.0_3.0_1726871516697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shng2025_pipeline_en_5.5.0_3.0_1726871516697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_shng2025_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_shng2025_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_shng2025_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/shng2025/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_shotaro30678_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_shotaro30678_en.md
new file mode 100644
index 00000000000000..344b947c44a901
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_shotaro30678_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_shotaro30678 DistilBertForSequenceClassification from Shotaro30678
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_shotaro30678
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_shotaro30678` is a English model originally trained by Shotaro30678.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shotaro30678_en_5.5.0_3.0_1726840872448.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shotaro30678_en_5.5.0_3.0_1726840872448.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_shotaro30678|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Shotaro30678/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_shotaro30678_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_shotaro30678_pipeline_en.md
new file mode 100644
index 00000000000000..380211aa4d881e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_shotaro30678_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_shotaro30678_pipeline pipeline DistilBertForSequenceClassification from Shotaro30678
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_shotaro30678_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_shotaro30678_pipeline` is a English model originally trained by Shotaro30678.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shotaro30678_pipeline_en_5.5.0_3.0_1726840890742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shotaro30678_pipeline_en_5.5.0_3.0_1726840890742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_shotaro30678_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_shotaro30678_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_shotaro30678_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Shotaro30678/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_sk1709_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_sk1709_en.md
new file mode 100644
index 00000000000000..658d39eeaa5e1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_sk1709_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sk1709 DistilBertForSequenceClassification from sk1709
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sk1709
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sk1709` is a English model originally trained by sk1709.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sk1709_en_5.5.0_3.0_1726861109627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sk1709_en_5.5.0_3.0_1726861109627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sk1709|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sk1709/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_sk1709_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_sk1709_pipeline_en.md
new file mode 100644
index 00000000000000..a74c74f730e6aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_sk1709_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sk1709_pipeline pipeline DistilBertForSequenceClassification from sk1709
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sk1709_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sk1709_pipeline` is a English model originally trained by sk1709.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sk1709_pipeline_en_5.5.0_3.0_1726861121889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sk1709_pipeline_en_5.5.0_3.0_1726861121889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_sk1709_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_sk1709_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sk1709_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sk1709/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_tcurran4589_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_tcurran4589_en.md
new file mode 100644
index 00000000000000..923f1047a5eac6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_tcurran4589_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_tcurran4589 DistilBertForSequenceClassification from TCurran4589
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_tcurran4589
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tcurran4589` is a English model originally trained by TCurran4589.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tcurran4589_en_5.5.0_3.0_1726809413623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tcurran4589_en_5.5.0_3.0_1726809413623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_tcurran4589|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TCurran4589/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_tcurran4589_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_tcurran4589_pipeline_en.md
new file mode 100644
index 00000000000000..6843e14f830e92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_tcurran4589_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_tcurran4589_pipeline pipeline DistilBertForSequenceClassification from TCurran4589
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_tcurran4589_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tcurran4589_pipeline` is a English model originally trained by TCurran4589.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tcurran4589_pipeline_en_5.5.0_3.0_1726809425752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tcurran4589_pipeline_en_5.5.0_3.0_1726809425752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_tcurran4589_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_tcurran4589_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_tcurran4589_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TCurran4589/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_thinsu_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_thinsu_en.md
new file mode 100644
index 00000000000000..6891f34c551c35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_thinsu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_thinsu DistilBertForSequenceClassification from ThinSu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_thinsu
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_thinsu` is a English model originally trained by ThinSu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thinsu_en_5.5.0_3.0_1726871611796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thinsu_en_5.5.0_3.0_1726871611796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_thinsu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ThinSu/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_uaevuon_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_uaevuon_en.md
new file mode 100644
index 00000000000000..7056d83025c50c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_uaevuon_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_uaevuon DistilBertForSequenceClassification from uaevuon
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_uaevuon
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_uaevuon` is a English model originally trained by uaevuon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_uaevuon_en_5.5.0_3.0_1726860824412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_uaevuon_en_5.5.0_3.0_1726860824412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_uaevuon|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/uaevuon/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_uaevuon_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_uaevuon_pipeline_en.md
new file mode 100644
index 00000000000000..85b9fa37322a88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_uaevuon_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_uaevuon_pipeline pipeline DistilBertForSequenceClassification from uaevuon
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_uaevuon_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_uaevuon_pipeline` is a English model originally trained by uaevuon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_uaevuon_pipeline_en_5.5.0_3.0_1726860836611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_uaevuon_pipeline_en_5.5.0_3.0_1726860836611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_uaevuon_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_uaevuon_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_uaevuon_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/uaevuon/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_vivienluna_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_vivienluna_en.md
new file mode 100644
index 00000000000000..41508437ba5388
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_vivienluna_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_vivienluna DistilBertForSequenceClassification from VivienLuna
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_vivienluna
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_vivienluna` is a English model originally trained by VivienLuna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vivienluna_en_5.5.0_3.0_1726830262727.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vivienluna_en_5.5.0_3.0_1726830262727.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_vivienluna|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/VivienLuna/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_vivienluna_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_vivienluna_pipeline_en.md
new file mode 100644
index 00000000000000..314226f42aef2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_vivienluna_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_vivienluna_pipeline pipeline DistilBertForSequenceClassification from VivienLuna
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_vivienluna_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_vivienluna_pipeline` is a English model originally trained by VivienLuna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vivienluna_pipeline_en_5.5.0_3.0_1726830275244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vivienluna_pipeline_en_5.5.0_3.0_1726830275244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_vivienluna_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_vivienluna_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_vivienluna_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/VivienLuna/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_global_intent_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_global_intent_en.md
new file mode 100644
index 00000000000000..9b6ef471e8ae83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_global_intent_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_global_intent DistilBertForSequenceClassification from alibidaran
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_global_intent
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_global_intent` is a English model originally trained by alibidaran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_global_intent_en_5.5.0_3.0_1726792477906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_global_intent_en_5.5.0_3.0_1726792477906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_global_intent|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/alibidaran/distilbert-base-uncased-finetuned-Global_Intent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_m_express_emo_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_m_express_emo_en.md
new file mode 100644
index 00000000000000..b2dda9a4054cb7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_m_express_emo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_m_express_emo DistilBertForSequenceClassification from Gregorig
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_m_express_emo
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_m_express_emo` is a English model originally trained by Gregorig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_m_express_emo_en_5.5.0_3.0_1726823947366.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_m_express_emo_en_5.5.0_3.0_1726823947366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_nlp_course|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/hanspeterlyngsoeraaschoujensen/distilbert-base-uncased-finetuned-nlp-course
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_nlp_course_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_nlp_course_pipeline_en.md
new file mode 100644
index 00000000000000..035ae80c38e4db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_nlp_course_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_nlp_course_pipeline pipeline DistilBertForQuestionAnswering from hanspeterlyngsoeraaschoujensen
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_nlp_course_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_nlp_course_pipeline` is a English model originally trained by hanspeterlyngsoeraaschoujensen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_course_pipeline_en_5.5.0_3.0_1726851177323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_course_pipeline_en_5.5.0_3.0_1726851177323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_nlp_course_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_nlp_course_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_nlp_course_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/hanspeterlyngsoeraaschoujensen/distilbert-base-uncased-finetuned-nlp-course
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline_en.md
new file mode 100644
index 00000000000000..5dcf1ef33f4cb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline pipeline DistilBertForSequenceClassification from ben-yu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline` is a English model originally trained by ben-yu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline_en_5.5.0_3.0_1726809651934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline_en_5.5.0_3.0_1726809651934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ben-yu/distilbert-base-uncased-finetuned-nlp-letters-s1_s2-all-class-weighted
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_en.md
new file mode 100644
index 00000000000000..75113b408f2e85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered DistilBertForSequenceClassification from ben-yu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered` is a English model originally trained by ben-yu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_en_5.5.0_3.0_1726832595472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_en_5.5.0_3.0_1726832595472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ben-yu/distilbert-base-uncased-finetuned-nlp-letters-s1-s2-degendered
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_pipeline_en.md
new file mode 100644
index 00000000000000..9a23979c75af3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_pipeline pipeline DistilBertForSequenceClassification from ben-yu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_pipeline` is a English model originally trained by ben-yu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_pipeline_en_5.5.0_3.0_1726832608007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_pipeline_en_5.5.0_3.0_1726832608007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_nlp_letters_s1_s2_degendered_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ben-yu/distilbert-base-uncased-finetuned-nlp-letters-s1-s2-degendered
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_orutra11_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_orutra11_en.md
new file mode 100644
index 00000000000000..3f4b0da486d2b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_orutra11_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_orutra11 DistilBertForSequenceClassification from orutra11
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_orutra11
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_orutra11` is a English model originally trained by orutra11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_orutra11_en_5.5.0_3.0_1726832840164.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_orutra11_en_5.5.0_3.0_1726832840164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_orutra11|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/orutra11/distilbert-base-uncased-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_orutra11_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_orutra11_pipeline_en.md
new file mode 100644
index 00000000000000..2da7f7ac2d8819
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_orutra11_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_orutra11_pipeline pipeline DistilBertForSequenceClassification from orutra11
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_orutra11_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_orutra11_pipeline` is a English model originally trained by orutra11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_orutra11_pipeline_en_5.5.0_3.0_1726832853816.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_orutra11_pipeline_en_5.5.0_3.0_1726832853816.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_orutra11_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_orutra11_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_orutra11_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/orutra11/distilbert-base-uncased-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_pad_mult_clf_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_pad_mult_clf_v2_pipeline_en.md
new file mode 100644
index 00000000000000..0582ca66a420ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_pad_mult_clf_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_pad_mult_clf_v2_pipeline pipeline DistilBertForSequenceClassification from netoferraz
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_pad_mult_clf_v2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_pad_mult_clf_v2_pipeline` is a English model originally trained by netoferraz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pad_mult_clf_v2_pipeline_en_5.5.0_3.0_1726809538902.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pad_mult_clf_v2_pipeline_en_5.5.0_3.0_1726809538902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_pad_mult_clf_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_pad_mult_clf_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_pad_mult_clf_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/netoferraz/distilbert-base-uncased-finetuned-pad-mult-clf-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_reviews_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_reviews_en.md
new file mode 100644
index 00000000000000..12b2a171d1271f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_reviews_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_reviews DistilBertForSequenceClassification from cetini18
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_reviews
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_reviews` is a English model originally trained by cetini18.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_reviews_en_5.5.0_3.0_1726830207256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_reviews_en_5.5.0_3.0_1726830207256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_reviews|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cetini18/distilbert-base-uncased-finetuned-reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_reviews_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_reviews_pipeline_en.md
new file mode 100644
index 00000000000000..371f861e2c474c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_reviews_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_reviews_pipeline pipeline DistilBertForSequenceClassification from cetini18
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_reviews_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_reviews_pipeline` is a English model originally trained by cetini18.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_reviews_pipeline_en_5.5.0_3.0_1726830220286.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_reviews_pipeline_en_5.5.0_3.0_1726830220286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_reviews_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_reviews_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_reviews_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cetini18/distilbert-base-uncased-finetuned-reviews
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_rottentomatoes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_rottentomatoes_pipeline_en.md
new file mode 100644
index 00000000000000..e6e8de2c4c7bd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_rottentomatoes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_rottentomatoes_pipeline pipeline DistilBertForSequenceClassification from mohamedsaeed823
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_rottentomatoes_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_rottentomatoes_pipeline` is a English model originally trained by mohamedsaeed823.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_rottentomatoes_pipeline_en_5.5.0_3.0_1726871320892.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_rottentomatoes_pipeline_en_5.5.0_3.0_1726871320892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_rottentomatoes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_rottentomatoes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_rottentomatoes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mohamedsaeed823/distilbert-base-uncased-finetuned-RottenTomatoes
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_sst2_kietb_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_sst2_kietb_en.md
new file mode 100644
index 00000000000000..dafd917245ac25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_sst2_kietb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst2_kietb DistilBertForSequenceClassification from KietB
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst2_kietb
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_kietb` is a English model originally trained by KietB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_kietb_en_5.5.0_3.0_1726842065870.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_kietb_en_5.5.0_3.0_1726842065870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst2_kietb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KietB/distilbert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_sst2_kietb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_sst2_kietb_pipeline_en.md
new file mode 100644
index 00000000000000..63f82d5b47420e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_sst2_kietb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst2_kietb_pipeline pipeline DistilBertForSequenceClassification from KietB
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst2_kietb_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_kietb_pipeline` is a English model originally trained by KietB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_kietb_pipeline_en_5.5.0_3.0_1726842079116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_kietb_pipeline_en_5.5.0_3.0_1726842079116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_sst2_kietb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_sst2_kietb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst2_kietb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KietB/distilbert-base-uncased-finetuned-sst2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_stationary_update_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_stationary_update_en.md
new file mode 100644
index 00000000000000..2d6074604d17cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_stationary_update_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_stationary_update DistilBertForSequenceClassification from MKS3099
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_stationary_update
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_stationary_update` is a English model originally trained by MKS3099.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_stationary_update_en_5.5.0_3.0_1726792206965.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_stationary_update_en_5.5.0_3.0_1726792206965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_stationary_update|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MKS3099/distilbert-base-uncased-finetuned-stationary-update
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_stationary_update_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_stationary_update_pipeline_en.md
new file mode 100644
index 00000000000000..834fd29c95cd50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_stationary_update_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_stationary_update_pipeline pipeline DistilBertForSequenceClassification from MKS3099
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_stationary_update_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_stationary_update_pipeline` is a English model originally trained by MKS3099.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_stationary_update_pipeline_en_5.5.0_3.0_1726792219458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_stationary_update_pipeline_en_5.5.0_3.0_1726792219458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_stationary_update_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_stationary_update_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_stationary_update_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MKS3099/distilbert-base-uncased-finetuned-stationary-update
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_ft_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_ft_2_pipeline_en.md
new file mode 100644
index 00000000000000..1c7a88a4866e06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_ft_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_ft_2_pipeline pipeline DistilBertForSequenceClassification from keylazy
+author: John Snow Labs
+name: distilbert_base_uncased_ft_2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ft_2_pipeline` is a English model originally trained by keylazy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ft_2_pipeline_en_5.5.0_3.0_1726871494588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ft_2_pipeline_en_5.5.0_3.0_1726871494588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_ft_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_ft_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ft_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/keylazy/distilbert-base-uncased-ft-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_en.md
new file mode 100644
index 00000000000000..0404fd94f36131
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_en_5.5.0_3.0_1726871572523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_en_5.5.0_3.0_1726871572523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_home_zphr_0st72_ut12ut1_plain_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..05d552b48d6ecf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_pipeline_en_5.5.0_3.0_1726871584506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_pipeline_en_5.5.0_3.0_1726871584506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_home_zphr_0st72_ut12ut1_plain_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_home_zphr_0st72_ut12ut1_plain_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_imdb_edg3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_imdb_edg3_pipeline_en.md
new file mode 100644
index 00000000000000..2e50a60508225c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_imdb_edg3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_imdb_edg3_pipeline pipeline DistilBertForSequenceClassification from edg3
+author: John Snow Labs
+name: distilbert_base_uncased_imdb_edg3_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_imdb_edg3_pipeline` is a English model originally trained by edg3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_edg3_pipeline_en_5.5.0_3.0_1726832424893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_edg3_pipeline_en_5.5.0_3.0_1726832424893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_imdb_edg3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_imdb_edg3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_imdb_edg3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/edg3/distilbert-base-uncased-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_en.md
new file mode 100644
index 00000000000000..498cce1a9b4734
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_en_5.5.0_3.0_1726842004793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_en_5.5.0_3.0_1726842004793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st102sd_random_ut72ut1_PLPrefix0stlarge_simsp100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_pipeline_en.md
new file mode 100644
index 00000000000000..b20e93d7288fba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_pipeline_en_5.5.0_3.0_1726842017140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_pipeline_en_5.5.0_3.0_1726842017140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st102sd_random_ut72ut1_plprefix0stlarge_simsp100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st102sd_random_ut72ut1_PLPrefix0stlarge_simsp100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en.md
new file mode 100644
index 00000000000000..b7e27da00c4cd4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1_plprefix0stlarge_simsp300_clean100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1_plprefix0stlarge_simsp300_clean100
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1_plprefix0stlarge_simsp300_clean100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en_5.5.0_3.0_1726861019723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1_plprefix0stlarge_simsp300_clean100_en_5.5.0_3.0_1726861019723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1_plprefix0stlarge_simsp300_clean100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st11sd_ut72ut1_PLPrefix0stlarge_simsp300_clean100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1large11pfxnf_simsp400_clean300_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1large11pfxnf_simsp400_clean300_en.md
new file mode 100644
index 00000000000000..311d0a0feea73a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1large11pfxnf_simsp400_clean300_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1large11pfxnf_simsp400_clean300 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1large11pfxnf_simsp400_clean300
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1large11pfxnf_simsp400_clean300` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1large11pfxnf_simsp400_clean300_en_5.5.0_3.0_1726841347831.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1large11pfxnf_simsp400_clean300_en_5.5.0_3.0_1726841347831.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st11sd_ut72ut1large11pfxnf_simsp400_clean300|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st11sd_ut72ut1large11PfxNf_simsp400_clean300
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..5b7c2ffc0058d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline_en_5.5.0_3.0_1726791888534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline_en_5.5.0_3.0_1726791888534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1_plprefix0stlarge_simsp300_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st13sd_ut72ut1_PLPrefix0stlarge_simsp300_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..4b66421fddd03f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_pipeline_en_5.5.0_3.0_1726808999960.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_pipeline_en_5.5.0_3.0_1726808999960.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st14sd_ut72ut1large14pfxnf_simsp400_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st14sd_ut72ut1large14PfxNf_simsp400_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st14sd_ut72ut5_plprefix0stlarge14_simsp100_clean200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st14sd_ut72ut5_plprefix0stlarge14_simsp100_clean200_pipeline_en.md
new file mode 100644
index 00000000000000..52eec50e939b89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st14sd_ut72ut5_plprefix0stlarge14_simsp100_clean200_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st14sd_ut72ut5_plprefix0stlarge14_simsp100_clean200_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st14sd_ut72ut5_plprefix0stlarge14_simsp100_clean200_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st14sd_ut72ut5_plprefix0stlarge14_simsp100_clean200_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st14sd_ut72ut5_plprefix0stlarge14_simsp100_clean200_pipeline_en_5.5.0_3.0_1726841223487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st14sd_ut72ut5_plprefix0stlarge14_simsp100_clean200_pipeline_en_5.5.0_3.0_1726841223487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st14sd_ut72ut5_plprefix0stlarge14_simsp100_clean200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st14sd_ut72ut5_plprefix0stlarge14_simsp100_clean200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st14sd_ut72ut5_plprefix0stlarge14_simsp100_clean200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st14sd_ut72ut5_PLPrefix0stlarge14_simsp100_clean200
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st15sd_ut72ut1large15pfxnf_simsp400_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st15sd_ut72ut1large15pfxnf_simsp400_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..0a2097e576b3e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st15sd_ut72ut1large15pfxnf_simsp400_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st15sd_ut72ut1large15pfxnf_simsp400_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st15sd_ut72ut1large15pfxnf_simsp400_clean100_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st15sd_ut72ut1large15pfxnf_simsp400_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st15sd_ut72ut1large15pfxnf_simsp400_clean100_pipeline_en_5.5.0_3.0_1726848645620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st15sd_ut72ut1large15pfxnf_simsp400_clean100_pipeline_en_5.5.0_3.0_1726848645620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st15sd_ut72ut1large15pfxnf_simsp400_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st15sd_ut72ut1large15pfxnf_simsp400_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st15sd_ut72ut1large15pfxnf_simsp400_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st15sd_ut72ut1large15PfxNf_simsp400_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..7fc3dbbaa96d49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline_en_5.5.0_3.0_1726830034280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline_en_5.5.0_3.0_1726830034280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st17sd_ut72ut3_plprefix0stlarge_simsp100_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st17sd_ut72ut3_PLPrefix0stlarge_simsp100_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_en.md
new file mode 100644
index 00000000000000..acd7624ded4bda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_en_5.5.0_3.0_1726841549081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_en_5.5.0_3.0_1726841549081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st17sd_ut72ut5_PLPrefix0stlarge17_simsp100_clean300
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_pipeline_en.md
new file mode 100644
index 00000000000000..2551ef45125ab3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_pipeline_en_5.5.0_3.0_1726841561721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_pipeline_en_5.5.0_3.0_1726841561721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st17sd_ut72ut5_plprefix0stlarge17_simsp100_clean300_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st17sd_ut72ut5_PLPrefix0stlarge17_simsp100_clean300
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_en.md
new file mode 100644
index 00000000000000..5361c54b219f22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_en_5.5.0_3.0_1726832851138.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp_en_5.5.0_3.0_1726832851138.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st19sd_ut72ut1_plprefix0stlarge19_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st19sd_ut72ut1_PLPrefix0stlarge19_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_en.md
new file mode 100644
index 00000000000000..45a025ec1980aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_en_5.5.0_3.0_1726808983992.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_en_5.5.0_3.0_1726808983992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st20sd_ut72ut5_PLPrefix0stlarge20_simsp100_clean300
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_pipeline_en.md
new file mode 100644
index 00000000000000..db99837f6aaeca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_pipeline_en_5.5.0_3.0_1726809000163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_pipeline_en_5.5.0_3.0_1726809000163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st20sd_ut72ut5_plprefix0stlarge20_simsp100_clean300_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st20sd_ut72ut5_PLPrefix0stlarge20_simsp100_clean300
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large40pfxnf_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large40pfxnf_simsp_en.md
new file mode 100644
index 00000000000000..3501615981b128
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large40pfxnf_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large40pfxnf_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large40pfxnf_simsp
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large40pfxnf_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large40pfxnf_simsp_en_5.5.0_3.0_1726841218228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large40pfxnf_simsp_en_5.5.0_3.0_1726841218228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large40pfxnf_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st42sd_ut72ut1large40PfxNf_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_en.md
new file mode 100644
index 00000000000000..4fe22fe6406044
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_en_5.5.0_3.0_1726841445240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_en_5.5.0_3.0_1726841445240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st42sd_ut72ut1large91PfxNf_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..d3561caad5aec8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_pipeline_en_5.5.0_3.0_1726841458120.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_pipeline_en_5.5.0_3.0_1726841458120.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large91pfxnf_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st42sd_ut72ut1large91PfxNf_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1_plprefix0stlarge5_simsp400_clean200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1_plprefix0stlarge5_simsp400_clean200_pipeline_en.md
new file mode 100644
index 00000000000000..ee3a10c9320a36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1_plprefix0stlarge5_simsp400_clean200_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1_plprefix0stlarge5_simsp400_clean200_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1_plprefix0stlarge5_simsp400_clean200_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1_plprefix0stlarge5_simsp400_clean200_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1_plprefix0stlarge5_simsp400_clean200_pipeline_en_5.5.0_3.0_1726848536713.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1_plprefix0stlarge5_simsp400_clean200_pipeline_en_5.5.0_3.0_1726848536713.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1_plprefix0stlarge5_simsp400_clean200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1_plprefix0stlarge5_simsp400_clean200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st5sd_ut72ut1_plprefix0stlarge5_simsp400_clean200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st5sd_ut72ut1_PLPrefix0stlarge5_simsp400_clean200
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_en.md
new file mode 100644
index 00000000000000..24a179da35ed7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_en_5.5.0_3.0_1726829860099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200_en_5.5.0_3.0_1726829860099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge5_simsp100_clean200|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st5sd_ut72ut5_PLPrefix0stlarge5_simsp100_clean200
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_en.md
new file mode 100644
index 00000000000000..049898f066d095
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_en_5.5.0_3.0_1726823941541.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_en_5.5.0_3.0_1726823941541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st7sd_ut72ut1_PLPrefix0stlarge_simsp300
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_pipeline_en.md
new file mode 100644
index 00000000000000..0aeb87eae0f427
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_pipeline_en_5.5.0_3.0_1726823955581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_pipeline_en_5.5.0_3.0_1726823955581.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1_plprefix0stlarge_simsp300_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st7sd_ut72ut1_PLPrefix0stlarge_simsp300
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1largepfxnf_simsp300_clean200_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1largepfxnf_simsp300_clean200_en.md
new file mode 100644
index 00000000000000..f99e935d8f5ef5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1largepfxnf_simsp300_clean200_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1largepfxnf_simsp300_clean200 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1largepfxnf_simsp300_clean200
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1largepfxnf_simsp300_clean200` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1largepfxnf_simsp300_clean200_en_5.5.0_3.0_1726832493195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1largepfxnf_simsp300_clean200_en_5.5.0_3.0_1726832493195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st7sd_ut72ut1largepfxnf_simsp300_clean200|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st7sd_ut72ut1largePfxNf_simsp300_clean200
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp400_clean100_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp400_clean100_en.md
new file mode 100644
index 00000000000000..f54372b65de3fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp400_clean100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp400_clean100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp400_clean100
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp400_clean100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp400_clean100_en_5.5.0_3.0_1726832638940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp400_clean100_en_5.5.0_3.0_1726832638940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st9sd_ut72ut1large9pfxnf_simsp400_clean100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st9sd_ut72ut1large9PfxNf_simsp400_clean100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_en.md
new file mode 100644
index 00000000000000..f32e17fc4616b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_en_5.5.0_3.0_1726849134296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_en_5.5.0_3.0_1726849134296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_PLPrefix0stlarge_simsp100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_pipeline_en.md
new file mode 100644
index 00000000000000..3a8295f36b5888
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_pipeline_en_5.5.0_3.0_1726849146204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_pipeline_en_5.5.0_3.0_1726849146204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_plprefix0stlarge_simsp100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_odm_zphr_0st102sd_score_ut72ut5_PLPrefix0stlarge_simsp100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_en.md
new file mode 100644
index 00000000000000..944f01ace01b91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_en_5.5.0_3.0_1726823960502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_en_5.5.0_3.0_1726823960502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_small_talk_zphr_0st_ut102ut1_plain_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..87d27aff0a9e1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_pipeline_en_5.5.0_3.0_1726823973171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_pipeline_en_5.5.0_3.0_1726823973171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_small_talk_zphr_0st_ut102ut1_plain_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_small_talk_zphr_0st_ut102ut1_plain_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_stock_classification_finetuned_dcard_epoch2_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_stock_classification_finetuned_dcard_epoch2_en.md
new file mode 100644
index 00000000000000..1173ebf0a8f780
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_stock_classification_finetuned_dcard_epoch2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_stock_classification_finetuned_dcard_epoch2 DistilBertForSequenceClassification from Mou11209203
+author: John Snow Labs
+name: distilbert_base_uncased_stock_classification_finetuned_dcard_epoch2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_stock_classification_finetuned_dcard_epoch2` is a English model originally trained by Mou11209203.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_stock_classification_finetuned_dcard_epoch2_en_5.5.0_3.0_1726848935060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_stock_classification_finetuned_dcard_epoch2_en_5.5.0_3.0_1726848935060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_stock_classification_finetuned_dcard_epoch2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mou11209203/distilbert-base-uncased_stock_classification_finetuned_dcard_epoch2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_sp_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_sp_en.md
new file mode 100644
index 00000000000000..82f4bcf1bd913b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_sp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_sp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_sp
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_sp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_sp_en_5.5.0_3.0_1726809625202.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_sp_en_5.5.0_3.0_1726809625202.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_0st_ut12ut1_plain_sp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_0st_ut12ut1_plain_sp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_en.md
new file mode 100644
index 00000000000000..15905397a298eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_en_5.5.0_3.0_1726823659626.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_en_5.5.0_3.0_1726823659626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_0st_ut52ut1_ad7_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..7e1f6f7f1493a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_pipeline_en_5.5.0_3.0_1726823673172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_pipeline_en_5.5.0_3.0_1726823673172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_0st_ut52ut1_ad7_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_0st_ut52ut1_ad7_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_tuvalu_zephyr_1shot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_tuvalu_zephyr_1shot_pipeline_en.md
new file mode 100644
index 00000000000000..4bbd82484ccce7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_tuvalu_zephyr_1shot_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_tuvalu_zephyr_1shot_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_tuvalu_zephyr_1shot_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_tuvalu_zephyr_1shot_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_tuvalu_zephyr_1shot_pipeline_en_5.5.0_3.0_1726848827728.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_tuvalu_zephyr_1shot_pipeline_en_5.5.0_3.0_1726848827728.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_tuvalu_zephyr_1shot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_tuvalu_zephyr_1shot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_tuvalu_zephyr_1shot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_tvl_zephyr_1shot
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_en.md
new file mode 100644
index 00000000000000..ed5809bef75573
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_en_5.5.0_3.0_1726830015848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_en_5.5.0_3.0_1726830015848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_utility_zphr_0st_ut52ut1_plain_sp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_pipeline_en.md
new file mode 100644
index 00000000000000..c8accd631da8c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_pipeline_en_5.5.0_3.0_1726830027554.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_pipeline_en_5.5.0_3.0_1726830027554.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_utility_zphr_0st_ut52ut1_plain_sp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_utility_zphr_0st_ut52ut1_plain_sp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_classification_task1_post_title_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_classification_task1_post_title_en.md
new file mode 100644
index 00000000000000..f3f69443299220
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_classification_task1_post_title_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_classification_task1_post_title DistilBertForSequenceClassification from abdulmanaam
+author: John Snow Labs
+name: distilbert_classification_task1_post_title
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_classification_task1_post_title` is a English model originally trained by abdulmanaam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_classification_task1_post_title_en_5.5.0_3.0_1726842214507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_classification_task1_post_title_en_5.5.0_3.0_1726842214507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_classification_task1_post_title|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abdulmanaam/distilbert_classification_task1_post_title
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_coping_reaction_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_coping_reaction_en.md
new file mode 100644
index 00000000000000..608c233607495a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_coping_reaction_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_coping_reaction DistilBertForSequenceClassification from coping-appraisal
+author: John Snow Labs
+name: distilbert_coping_reaction
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_coping_reaction` is a English model originally trained by coping-appraisal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_coping_reaction_en_5.5.0_3.0_1726841105009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_coping_reaction_en_5.5.0_3.0_1726841105009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_coping_reaction|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/coping-appraisal/distilbert-coping-reaction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_coping_reaction_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_coping_reaction_pipeline_en.md
new file mode 100644
index 00000000000000..fb2038be3d1fc4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_coping_reaction_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_coping_reaction_pipeline pipeline DistilBertForSequenceClassification from coping-appraisal
+author: John Snow Labs
+name: distilbert_coping_reaction_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_coping_reaction_pipeline` is a English model originally trained by coping-appraisal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_coping_reaction_pipeline_en_5.5.0_3.0_1726841119316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_coping_reaction_pipeline_en_5.5.0_3.0_1726841119316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_coping_reaction_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_coping_reaction_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_coping_reaction_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/coping-appraisal/distilbert-coping-reaction
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_emotion_albeirog1681_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_emotion_albeirog1681_en.md
new file mode 100644
index 00000000000000..3000b51ceba30e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_emotion_albeirog1681_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_emotion_albeirog1681 DistilBertForSequenceClassification from albeirog1681
+author: John Snow Labs
+name: distilbert_emotion_albeirog1681
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_albeirog1681` is a English model originally trained by albeirog1681.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_albeirog1681_en_5.5.0_3.0_1726832724411.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_albeirog1681_en_5.5.0_3.0_1726832724411.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_albeirog1681|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/albeirog1681/distilbert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_emotion_albeirog1681_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_emotion_albeirog1681_pipeline_en.md
new file mode 100644
index 00000000000000..d98ec90cae04a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_emotion_albeirog1681_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_emotion_albeirog1681_pipeline pipeline DistilBertForSequenceClassification from albeirog1681
+author: John Snow Labs
+name: distilbert_emotion_albeirog1681_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_albeirog1681_pipeline` is a English model originally trained by albeirog1681.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_albeirog1681_pipeline_en_5.5.0_3.0_1726832737105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_albeirog1681_pipeline_en_5.5.0_3.0_1726832737105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_emotion_albeirog1681_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_emotion_albeirog1681_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_albeirog1681_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/albeirog1681/distilbert-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_emotion_karlaroco_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_emotion_karlaroco_en.md
new file mode 100644
index 00000000000000..ae795a41b8a86d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_emotion_karlaroco_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_emotion_karlaroco DistilBertForSequenceClassification from karlaroco
+author: John Snow Labs
+name: distilbert_emotion_karlaroco
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_karlaroco` is a English model originally trained by karlaroco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_karlaroco_en_5.5.0_3.0_1726809720436.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_karlaroco_en_5.5.0_3.0_1726809720436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_karlaroco|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/karlaroco/distilbert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_emotion_karlaroco_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_emotion_karlaroco_pipeline_en.md
new file mode 100644
index 00000000000000..bc4e07f0a4b121
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_emotion_karlaroco_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_emotion_karlaroco_pipeline pipeline DistilBertForSequenceClassification from karlaroco
+author: John Snow Labs
+name: distilbert_emotion_karlaroco_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_karlaroco_pipeline` is a English model originally trained by karlaroco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_karlaroco_pipeline_en_5.5.0_3.0_1726809732551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_karlaroco_pipeline_en_5.5.0_3.0_1726809732551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_emotion_karlaroco_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_emotion_karlaroco_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_karlaroco_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/karlaroco/distilbert-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_finetuned_imdb_sinensia_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_finetuned_imdb_sinensia_en.md
new file mode 100644
index 00000000000000..d5be51451cfc53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_finetuned_imdb_sinensia_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_finetuned_imdb_sinensia DistilBertForSequenceClassification from sinensia
+author: John Snow Labs
+name: distilbert_finetuned_imdb_sinensia
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_imdb_sinensia` is a English model originally trained by sinensia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sinensia_en_5.5.0_3.0_1726848524004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sinensia_en_5.5.0_3.0_1726848524004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_imdb_sinensia|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sinensia/distilbert-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_finetuned_imdb_sinensia_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_finetuned_imdb_sinensia_pipeline_en.md
new file mode 100644
index 00000000000000..c3c1aec4d184a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_finetuned_imdb_sinensia_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_finetuned_imdb_sinensia_pipeline pipeline DistilBertForSequenceClassification from sinensia
+author: John Snow Labs
+name: distilbert_finetuned_imdb_sinensia_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_imdb_sinensia_pipeline` is a English model originally trained by sinensia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sinensia_pipeline_en_5.5.0_3.0_1726848540849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sinensia_pipeline_en_5.5.0_3.0_1726848540849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_imdb_sinensia_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_imdb_sinensia_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_imdb_sinensia_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sinensia/distilbert-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_imdb_finetune_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_imdb_finetune_en.md
new file mode 100644
index 00000000000000..a1d3bae72e38f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_imdb_finetune_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_imdb_finetune DistilBertForSequenceClassification from edogarci
+author: John Snow Labs
+name: distilbert_imdb_finetune
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_finetune` is a English model originally trained by edogarci.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_finetune_en_5.5.0_3.0_1726860841862.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_finetune_en_5.5.0_3.0_1726860841862.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_finetune|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/edogarci/distilbert-imdb-finetune
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_imdb_finetune_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_imdb_finetune_pipeline_en.md
new file mode 100644
index 00000000000000..f75f5c119857da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_imdb_finetune_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_imdb_finetune_pipeline pipeline DistilBertForSequenceClassification from edogarci
+author: John Snow Labs
+name: distilbert_imdb_finetune_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_finetune_pipeline` is a English model originally trained by edogarci.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_finetune_pipeline_en_5.5.0_3.0_1726860854146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_finetune_pipeline_en_5.5.0_3.0_1726860854146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_imdb_finetune_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_imdb_finetune_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_finetune_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/edogarci/distilbert-imdb-finetune
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_imdb_huggingface_ysphang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_imdb_huggingface_ysphang_pipeline_en.md
new file mode 100644
index 00000000000000..8e903fc646a172
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_imdb_huggingface_ysphang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_imdb_huggingface_ysphang_pipeline pipeline DistilBertForSequenceClassification from ysphang
+author: John Snow Labs
+name: distilbert_imdb_huggingface_ysphang_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_huggingface_ysphang_pipeline` is a English model originally trained by ysphang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_huggingface_ysphang_pipeline_en_5.5.0_3.0_1726860742430.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_huggingface_ysphang_pipeline_en_5.5.0_3.0_1726860742430.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_imdb_huggingface_ysphang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_imdb_huggingface_ysphang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_huggingface_ysphang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ysphang/DISTILBERT-IMDB-HUGGINGFACE
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_imdb_padding70model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_imdb_padding70model_pipeline_en.md
new file mode 100644
index 00000000000000..488677c2b64331
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_imdb_padding70model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_imdb_padding70model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_imdb_padding70model_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_padding70model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_padding70model_pipeline_en_5.5.0_3.0_1726823700720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_padding70model_pipeline_en_5.5.0_3.0_1726823700720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_imdb_padding70model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_imdb_padding70model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_padding70model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_imdb_padding70model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_product_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_product_classifier_en.md
new file mode 100644
index 00000000000000..5db08f8f7804d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_product_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_product_classifier BertForSequenceClassification from SavvySpender
+author: John Snow Labs
+name: distilbert_product_classifier
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_product_classifier` is a English model originally trained by SavvySpender.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_product_classifier_en_5.5.0_3.0_1726803593326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_product_classifier_en_5.5.0_3.0_1726803593326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_product_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/SavvySpender/distilbert-product-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_reviews_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_reviews_en.md
new file mode 100644
index 00000000000000..39c92db51ec67c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_reviews_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_reviews DistilBertForSequenceClassification from AGnatkiv
+author: John Snow Labs
+name: distilbert_reviews
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_reviews` is a English model originally trained by AGnatkiv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_reviews_en_5.5.0_3.0_1726841103867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_reviews_en_5.5.0_3.0_1726841103867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_reviews|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AGnatkiv/distilbert-reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_reviews_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_reviews_pipeline_en.md
new file mode 100644
index 00000000000000..6af8e599a1f7ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_reviews_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_reviews_pipeline pipeline DistilBertForSequenceClassification from AGnatkiv
+author: John Snow Labs
+name: distilbert_reviews_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_reviews_pipeline` is a English model originally trained by AGnatkiv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_reviews_pipeline_en_5.5.0_3.0_1726841120912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_reviews_pipeline_en_5.5.0_3.0_1726841120912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_reviews_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_reviews_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_reviews_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AGnatkiv/distilbert-reviews
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_en.md
new file mode 100644
index 00000000000000..55d351d8981aaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_en_5.5.0_3.0_1726832601703.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_en_5.5.0_3.0_1726832601703.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|52.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_data_aug_qqp_192
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_pipeline_en.md
new file mode 100644
index 00000000000000..7d203fff22217c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_pipeline_en_5.5.0_3.0_1726832604590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_pipeline_en_5.5.0_3.0_1726832604590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_data_aug_qqp_192_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|52.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_data_aug_qqp_192
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_en.md
new file mode 100644
index 00000000000000..ca06a5717c53be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_en_5.5.0_3.0_1726823448373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_en_5.5.0_3.0_1726823448373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_qnli_96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_pipeline_en.md
new file mode 100644
index 00000000000000..a36e92425206e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_pipeline_en_5.5.0_3.0_1726823450158.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_pipeline_en_5.5.0_3.0_1726823450158.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qnli_96_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_qnli_96
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qqp_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qqp_en.md
new file mode 100644
index 00000000000000..0f76c018c2e2d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qqp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qqp DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qqp
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qqp` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qqp_en_5.5.0_3.0_1726840896213.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qqp_en_5.5.0_3.0_1726840896213.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_qqp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|251.2 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_qqp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_en.md
new file mode 100644
index 00000000000000..6fe1ece2aab009
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_en_5.5.0_3.0_1726830099761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_en_5.5.0_3.0_1726830099761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|71.6 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_wnli_256
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_pipeline_en.md
new file mode 100644
index 00000000000000..db7cd23fd1cc2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_pipeline_en_5.5.0_3.0_1726830103679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_pipeline_en_5.5.0_3.0_1726830103679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_data_aug_wnli_256_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|71.6 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_wnli_256
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_en.md
new file mode 100644
index 00000000000000..8ad2c7686c12b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_en_5.5.0_3.0_1726832625532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_en_5.5.0_3.0_1726832625532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_pretrain_sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_pipeline_en.md
new file mode 100644
index 00000000000000..6cd4f218453896
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_pipeline_en_5.5.0_3.0_1726832638034.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_pipeline_en_5.5.0_3.0_1726832638034.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_sst2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_pretrain_sst2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_qqp_192_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_qqp_192_en.md
new file mode 100644
index 00000000000000..fed3b4f865374e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_qqp_192_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_qqp_192 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_qqp_192
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_qqp_192` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_qqp_192_en_5.5.0_3.0_1726829840449.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_qqp_192_en_5.5.0_3.0_1726829840449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_qqp_192|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|52.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_qqp_192
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_qqp_192_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_qqp_192_pipeline_en.md
new file mode 100644
index 00000000000000..e49c8e59770a20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sanskrit_saskta_glue_experiment_qqp_192_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_qqp_192_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_qqp_192_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_qqp_192_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_qqp_192_pipeline_en_5.5.0_3.0_1726829843936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_qqp_192_pipeline_en_5.5.0_3.0_1726829843936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_qqp_192_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_qqp_192_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_qqp_192_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|52.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_qqp_192
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_scam_classifier_v1_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_scam_classifier_v1_1_pipeline_en.md
new file mode 100644
index 00000000000000..424feb91b4770f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_scam_classifier_v1_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_scam_classifier_v1_1_pipeline pipeline DistilBertForSequenceClassification from BothBosu
+author: John Snow Labs
+name: distilbert_scam_classifier_v1_1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_scam_classifier_v1_1_pipeline` is a English model originally trained by BothBosu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_scam_classifier_v1_1_pipeline_en_5.5.0_3.0_1726841104197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_scam_classifier_v1_1_pipeline_en_5.5.0_3.0_1726841104197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_scam_classifier_v1_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_scam_classifier_v1_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_scam_classifier_v1_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BothBosu/distilbert-scam-classifier-v1.1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_sst2_padding40model_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sst2_padding40model_en.md
new file mode 100644
index 00000000000000..29a9d66e5075e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_sst2_padding40model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sst2_padding40model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_sst2_padding40model
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sst2_padding40model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sst2_padding40model_en_5.5.0_3.0_1726842183841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sst2_padding40model_en_5.5.0_3.0_1726842183841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sst2_padding40model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_sst2_padding40model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_stackoverflow_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_stackoverflow_pipeline_en.md
new file mode 100644
index 00000000000000..52707ff4b252ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_stackoverflow_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_stackoverflow_pipeline pipeline DistilBertForSequenceClassification from liambyrne
+author: John Snow Labs
+name: distilbert_stackoverflow_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_stackoverflow_pipeline` is a English model originally trained by liambyrne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_stackoverflow_pipeline_en_5.5.0_3.0_1726809489144.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_stackoverflow_pipeline_en_5.5.0_3.0_1726809489144.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_stackoverflow_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_stackoverflow_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_stackoverflow_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/liambyrne/distilbert-stackoverflow
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_twitterfin_padding30model_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_twitterfin_padding30model_en.md
new file mode 100644
index 00000000000000..035f9afa70516f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_twitterfin_padding30model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_twitterfin_padding30model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_twitterfin_padding30model
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_twitterfin_padding30model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_twitterfin_padding30model_en_5.5.0_3.0_1726842359839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_twitterfin_padding30model_en_5.5.0_3.0_1726842359839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_twitterfin_padding30model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_twitterfin_padding30model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_twitterfin_padding30model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_twitterfin_padding30model_pipeline_en.md
new file mode 100644
index 00000000000000..715305ca7a901c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_twitterfin_padding30model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_twitterfin_padding30model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_twitterfin_padding30model_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_twitterfin_padding30model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_twitterfin_padding30model_pipeline_en_5.5.0_3.0_1726842372352.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_twitterfin_padding30model_pipeline_en_5.5.0_3.0_1726842372352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_twitterfin_padding30model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_twitterfin_padding30model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_twitterfin_padding30model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_twitterfin_padding30model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distillbert_edu_en.md b/docs/_posts/ahmedlone127/2024-09-20-distillbert_edu_en.md
new file mode 100644
index 00000000000000..678973aaf6575a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distillbert_edu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distillbert_edu RoBertaForSequenceClassification from debajyotidatta
+author: John Snow Labs
+name: distillbert_edu
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_edu` is a English model originally trained by debajyotidatta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_edu_en_5.5.0_3.0_1726849784814.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_edu_en_5.5.0_3.0_1726849784814.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_edu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|426.5 MB|
+
+## References
+
+https://huggingface.co/debajyotidatta/distillbert_edu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distillbert_edu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distillbert_edu_pipeline_en.md
new file mode 100644
index 00000000000000..925da56919b780
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distillbert_edu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distillbert_edu_pipeline pipeline RoBertaForSequenceClassification from debajyotidatta
+author: John Snow Labs
+name: distillbert_edu_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_edu_pipeline` is a English model originally trained by debajyotidatta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_edu_pipeline_en_5.5.0_3.0_1726849818289.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_edu_pipeline_en_5.5.0_3.0_1726849818289.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distillbert_edu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distillbert_edu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_edu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|426.5 MB|
+
+## References
+
+https://huggingface.co/debajyotidatta/distillbert_edu
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distillbert_qsc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distillbert_qsc_pipeline_en.md
new file mode 100644
index 00000000000000..d1c4e5a837e552
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distillbert_qsc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distillbert_qsc_pipeline pipeline DistilBertForSequenceClassification from thehyperpineapple
+author: John Snow Labs
+name: distillbert_qsc_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_qsc_pipeline` is a English model originally trained by thehyperpineapple.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_qsc_pipeline_en_5.5.0_3.0_1726824090864.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_qsc_pipeline_en_5.5.0_3.0_1726824090864.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distillbert_qsc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distillbert_qsc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_qsc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thehyperpineapple/DistillBERT-QSC
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilroberta_base_ep20_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilroberta_base_ep20_en.md
new file mode 100644
index 00000000000000..a3c11790d09e39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilroberta_base_ep20_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_base_ep20 RoBertaEmbeddings from judy93536
+author: John Snow Labs
+name: distilroberta_base_ep20
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_ep20` is a English model originally trained by judy93536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_ep20_en_5.5.0_3.0_1726816249060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_ep20_en_5.5.0_3.0_1726816249060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_ft_askwomen|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/jkruk/distilroberta-base-ft-AskWomen
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilroberta_base_ft_wow_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilroberta_base_ft_wow_pipeline_en.md
new file mode 100644
index 00000000000000..a031ac7e4d7a46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilroberta_base_ft_wow_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_ft_wow_pipeline pipeline RoBertaEmbeddings from jkruk
+author: John Snow Labs
+name: distilroberta_base_ft_wow_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_ft_wow_pipeline` is a English model originally trained by jkruk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_ft_wow_pipeline_en_5.5.0_3.0_1726815894958.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_ft_wow_pipeline_en_5.5.0_3.0_1726815894958.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_ft_wow_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_ft_wow_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_ft_wow_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/jkruk/distilroberta-base-ft-wow
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-email_answer_extraction_en.md b/docs/_posts/ahmedlone127/2024-09-20-email_answer_extraction_en.md
new file mode 100644
index 00000000000000..6cc2e672df9894
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-email_answer_extraction_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English email_answer_extraction RoBertaForTokenClassification from arya555
+author: John Snow Labs
+name: email_answer_extraction
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`email_answer_extraction` is a English model originally trained by arya555.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/email_answer_extraction_en_5.5.0_3.0_1726853165085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/email_answer_extraction_en_5.5.0_3.0_1726853165085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|email_answer_extraction|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|422.0 MB|
+
+## References
+
+https://huggingface.co/arya555/email_answer_extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random0_seed0_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random0_seed0_bernice_en.md
new file mode 100644
index 00000000000000..693b59958fade9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random0_seed0_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emoji_emoji_random0_seed0_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: emoji_emoji_random0_seed0_bernice
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emoji_emoji_random0_seed0_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoji_emoji_random0_seed0_bernice_en_5.5.0_3.0_1726872128950.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoji_emoji_random0_seed0_bernice_en_5.5.0_3.0_1726872128950.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emoji_emoji_random0_seed0_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|825.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/emoji-emoji_random0_seed0-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random0_seed0_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random0_seed0_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..8529ba9df28f8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random0_seed0_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English emoji_emoji_random0_seed0_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: emoji_emoji_random0_seed0_bernice_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emoji_emoji_random0_seed0_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoji_emoji_random0_seed0_bernice_pipeline_en_5.5.0_3.0_1726872257778.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoji_emoji_random0_seed0_bernice_pipeline_en_5.5.0_3.0_1726872257778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("emoji_emoji_random0_seed0_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("emoji_emoji_random0_seed0_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emoji_emoji_random0_seed0_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|825.4 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/emoji-emoji_random0_seed0-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random0_seed1_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random0_seed1_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..585cc377a98f50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random0_seed1_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English emoji_emoji_random0_seed1_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: emoji_emoji_random0_seed1_bernice_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emoji_emoji_random0_seed1_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoji_emoji_random0_seed1_bernice_pipeline_en_5.5.0_3.0_1726866146519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoji_emoji_random0_seed1_bernice_pipeline_en_5.5.0_3.0_1726866146519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("emoji_emoji_random0_seed1_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("emoji_emoji_random0_seed1_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emoji_emoji_random0_seed1_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|825.4 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/emoji-emoji_random0_seed1-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random0_seed1_twitter_roberta_base_2022_154m_en.md b/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random0_seed1_twitter_roberta_base_2022_154m_en.md
new file mode 100644
index 00000000000000..2e7c5aa5561fe3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random0_seed1_twitter_roberta_base_2022_154m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emoji_emoji_random0_seed1_twitter_roberta_base_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: emoji_emoji_random0_seed1_twitter_roberta_base_2022_154m
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emoji_emoji_random0_seed1_twitter_roberta_base_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoji_emoji_random0_seed1_twitter_roberta_base_2022_154m_en_5.5.0_3.0_1726852356671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoji_emoji_random0_seed1_twitter_roberta_base_2022_154m_en_5.5.0_3.0_1726852356671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emoji_emoji_random0_seed1_twitter_roberta_base_2022_154m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/emoji-emoji_random0_seed1-twitter-roberta-base-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_pipeline_en.md
new file mode 100644
index 00000000000000..cee7395f4b4fe0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_pipeline_en_5.5.0_3.0_1726805353986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_pipeline_en_5.5.0_3.0_1726805353986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emoji_emoji_random2_seed0_twitter_roberta_base_2019_90m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.6 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/emoji-emoji_random2_seed0-twitter-roberta-base-2019-90m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-emotion_detector_en.md b/docs/_posts/ahmedlone127/2024-09-20-emotion_detector_en.md
new file mode 100644
index 00000000000000..d6c47a5581fbdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-emotion_detector_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emotion_detector DistilBertForSequenceClassification from Foulbubble
+author: John Snow Labs
+name: emotion_detector
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_detector` is a English model originally trained by Foulbubble.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_detector_en_5.5.0_3.0_1726809311460.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_detector_en_5.5.0_3.0_1726809311460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_detector|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Foulbubble/Emotion-Detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-entitylinker_en.md b/docs/_posts/ahmedlone127/2024-09-20-entitylinker_en.md
new file mode 100644
index 00000000000000..9b987ff8c13cd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-entitylinker_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English entitylinker DistilBertForSequenceClassification from hadifar
+author: John Snow Labs
+name: entitylinker
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`entitylinker` is a English model originally trained by hadifar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/entitylinker_en_5.5.0_3.0_1726840872379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/entitylinker_en_5.5.0_3.0_1726840872379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|entitylinker|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hadifar/entitylinker
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-entitylinker_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-entitylinker_pipeline_en.md
new file mode 100644
index 00000000000000..bc7848796a8501
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-entitylinker_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English entitylinker_pipeline pipeline DistilBertForSequenceClassification from hadifar
+author: John Snow Labs
+name: entitylinker_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`entitylinker_pipeline` is a English model originally trained by hadifar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/entitylinker_pipeline_en_5.5.0_3.0_1726840885806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/entitylinker_pipeline_en_5.5.0_3.0_1726840885806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("entitylinker_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("entitylinker_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|entitylinker_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hadifar/entitylinker
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ep16_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-ep16_pipeline_en.md
new file mode 100644
index 00000000000000..31a40e5306bbc5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ep16_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English ep16_pipeline pipeline WhisperForCTC from JoeTan
+author: John Snow Labs
+name: ep16_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ep16_pipeline` is a English model originally trained by JoeTan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ep16_pipeline_en_5.5.0_3.0_1726791219258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ep16_pipeline_en_5.5.0_3.0_1726791219258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ep16_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ep16_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ep16_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|4.8 GB|
+
+## References
+
+https://huggingface.co/JoeTan/Ep16
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-esrf_doc_categorizer_model_en.md b/docs/_posts/ahmedlone127/2024-09-20-esrf_doc_categorizer_model_en.md
new file mode 100644
index 00000000000000..86fe4adff76bc5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-esrf_doc_categorizer_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English esrf_doc_categorizer_model DistilBertForSequenceClassification from rgoswami31
+author: John Snow Labs
+name: esrf_doc_categorizer_model
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`esrf_doc_categorizer_model` is a English model originally trained by rgoswami31.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/esrf_doc_categorizer_model_en_5.5.0_3.0_1726830413482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/esrf_doc_categorizer_model_en_5.5.0_3.0_1726830413482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esrf_doc_categorizer_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rgoswami31/esrf_doc_categorizer_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-esrf_doc_categorizer_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-esrf_doc_categorizer_model_pipeline_en.md
new file mode 100644
index 00000000000000..b2eb461838e733
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-esrf_doc_categorizer_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English esrf_doc_categorizer_model_pipeline pipeline DistilBertForSequenceClassification from rgoswami31
+author: John Snow Labs
+name: esrf_doc_categorizer_model_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`esrf_doc_categorizer_model_pipeline` is a English model originally trained by rgoswami31.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/esrf_doc_categorizer_model_pipeline_en_5.5.0_3.0_1726830426019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/esrf_doc_categorizer_model_pipeline_en_5.5.0_3.0_1726830426019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("esrf_doc_categorizer_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("esrf_doc_categorizer_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esrf_doc_categorizer_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rgoswami31/esrf_doc_categorizer_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-feedback_finetuned_sentiment_model_en.md b/docs/_posts/ahmedlone127/2024-09-20-feedback_finetuned_sentiment_model_en.md
new file mode 100644
index 00000000000000..7a9ca4e0f8da74
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-feedback_finetuned_sentiment_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English feedback_finetuned_sentiment_model DistilBertForSequenceClassification from divy1810
+author: John Snow Labs
+name: feedback_finetuned_sentiment_model
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`feedback_finetuned_sentiment_model` is a English model originally trained by divy1810.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/feedback_finetuned_sentiment_model_en_5.5.0_3.0_1726792509401.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/feedback_finetuned_sentiment_model_en_5.5.0_3.0_1726792509401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|feedback_finetuned_sentiment_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/divy1810/feedback-finetuned-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-feedback_finetuned_sentiment_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-feedback_finetuned_sentiment_model_pipeline_en.md
new file mode 100644
index 00000000000000..b1f72d0ab25413
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-feedback_finetuned_sentiment_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English feedback_finetuned_sentiment_model_pipeline pipeline DistilBertForSequenceClassification from divy1810
+author: John Snow Labs
+name: feedback_finetuned_sentiment_model_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`feedback_finetuned_sentiment_model_pipeline` is a English model originally trained by divy1810.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/feedback_finetuned_sentiment_model_pipeline_en_5.5.0_3.0_1726792522515.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/feedback_finetuned_sentiment_model_pipeline_en_5.5.0_3.0_1726792522515.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("feedback_finetuned_sentiment_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("feedback_finetuned_sentiment_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|feedback_finetuned_sentiment_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/divy1810/feedback-finetuned-sentiment-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-film20000roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-20-film20000roberta_base_en.md
new file mode 100644
index 00000000000000..c136b09880e3ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-film20000roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English film20000roberta_base RoBertaEmbeddings from AmaiaSolaun
+author: John Snow Labs
+name: film20000roberta_base
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`film20000roberta_base` is a English model originally trained by AmaiaSolaun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/film20000roberta_base_en_5.5.0_3.0_1726857076171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/film20000roberta_base_en_5.5.0_3.0_1726857076171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|film20000roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/AmaiaSolaun/film20000roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-film20000roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-film20000roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..b2c4300f7701a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-film20000roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English film20000roberta_base_pipeline pipeline RoBertaEmbeddings from AmaiaSolaun
+author: John Snow Labs
+name: film20000roberta_base_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`film20000roberta_base_pipeline` is a English model originally trained by AmaiaSolaun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/film20000roberta_base_pipeline_en_5.5.0_3.0_1726857106040.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/film20000roberta_base_pipeline_en_5.5.0_3.0_1726857106040.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("film20000roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("film20000roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|film20000roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/AmaiaSolaun/film20000roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-final_nlp_question1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-final_nlp_question1_pipeline_en.md
new file mode 100644
index 00000000000000..14fd848b7cc9cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-final_nlp_question1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English final_nlp_question1_pipeline pipeline DistilBertForSequenceClassification from chamdentimem
+author: John Snow Labs
+name: final_nlp_question1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`final_nlp_question1_pipeline` is a English model originally trained by chamdentimem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/final_nlp_question1_pipeline_en_5.5.0_3.0_1726792281359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/final_nlp_question1_pipeline_en_5.5.0_3.0_1726792281359.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("final_nlp_question1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("final_nlp_question1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|final_nlp_question1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chamdentimem/final_nlp_question1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-fine_tuned_distilbert_for_amazon_book_review_absa_en.md b/docs/_posts/ahmedlone127/2024-09-20-fine_tuned_distilbert_for_amazon_book_review_absa_en.md
new file mode 100644
index 00000000000000..f11660234ef227
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-fine_tuned_distilbert_for_amazon_book_review_absa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuned_distilbert_for_amazon_book_review_absa DistilBertForSequenceClassification from ferdynandchan
+author: John Snow Labs
+name: fine_tuned_distilbert_for_amazon_book_review_absa
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_distilbert_for_amazon_book_review_absa` is a English model originally trained by ferdynandchan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_distilbert_for_amazon_book_review_absa_en_5.5.0_3.0_1726832949048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_distilbert_for_amazon_book_review_absa_en_5.5.0_3.0_1726832949048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_distilbert_for_amazon_book_review_absa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ferdynandchan/Fine-Tuned-DistilBERT-for-Amazon-Book-Review-ABSA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-fine_tuned_distilbert_for_amazon_book_review_absa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-fine_tuned_distilbert_for_amazon_book_review_absa_pipeline_en.md
new file mode 100644
index 00000000000000..127bf2247414f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-fine_tuned_distilbert_for_amazon_book_review_absa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tuned_distilbert_for_amazon_book_review_absa_pipeline pipeline DistilBertForSequenceClassification from ferdynandchan
+author: John Snow Labs
+name: fine_tuned_distilbert_for_amazon_book_review_absa_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_distilbert_for_amazon_book_review_absa_pipeline` is a English model originally trained by ferdynandchan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_distilbert_for_amazon_book_review_absa_pipeline_en_5.5.0_3.0_1726832961447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_distilbert_for_amazon_book_review_absa_pipeline_en_5.5.0_3.0_1726832961447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_distilbert_for_amazon_book_review_absa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_distilbert_for_amazon_book_review_absa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_distilbert_for_amazon_book_review_absa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ferdynandchan/Fine-Tuned-DistilBERT-for-Amazon-Book-Review-ABSA
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-fine_tuned_model_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-fine_tuned_model_v1_pipeline_en.md
new file mode 100644
index 00000000000000..9d2713a3ccf9b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-fine_tuned_model_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tuned_model_v1_pipeline pipeline DistilBertForSequenceClassification from rb757
+author: John Snow Labs
+name: fine_tuned_model_v1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_model_v1_pipeline` is a English model originally trained by rb757.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_model_v1_pipeline_en_5.5.0_3.0_1726792142880.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_model_v1_pipeline_en_5.5.0_3.0_1726792142880.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_model_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_model_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_model_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rb757/fine_tuned_model_v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-fine_tunning_en.md b/docs/_posts/ahmedlone127/2024-09-20-fine_tunning_en.md
new file mode 100644
index 00000000000000..42ff66f89b6d1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-fine_tunning_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tunning DistilBertForSequenceClassification from teagiraldo
+author: John Snow Labs
+name: fine_tunning
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tunning` is a English model originally trained by teagiraldo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tunning_en_5.5.0_3.0_1726842466689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tunning_en_5.5.0_3.0_1726842466689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tunning|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/teagiraldo/fine_tunning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-fine_tunning_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-fine_tunning_pipeline_en.md
new file mode 100644
index 00000000000000..fd22c504355f67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-fine_tunning_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tunning_pipeline pipeline DistilBertForSequenceClassification from teagiraldo
+author: John Snow Labs
+name: fine_tunning_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tunning_pipeline` is a English model originally trained by teagiraldo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tunning_pipeline_en_5.5.0_3.0_1726842482848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tunning_pipeline_en_5.5.0_3.0_1726842482848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tunning_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tunning_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tunning_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/teagiraldo/fine_tunning
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuned_beliefs_sentiment_classifier_experiment2_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuned_beliefs_sentiment_classifier_experiment2_en.md
new file mode 100644
index 00000000000000..31490e3fb7ca54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuned_beliefs_sentiment_classifier_experiment2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_beliefs_sentiment_classifier_experiment2 RoBertaForSequenceClassification from hriaz
+author: John Snow Labs
+name: finetuned_beliefs_sentiment_classifier_experiment2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_beliefs_sentiment_classifier_experiment2` is a English model originally trained by hriaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_beliefs_sentiment_classifier_experiment2_en_5.5.0_3.0_1726804993689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_beliefs_sentiment_classifier_experiment2_en_5.5.0_3.0_1726804993689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_beliefs_sentiment_classifier_experiment2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/hriaz/finetuned_beliefs_sentiment_classifier_experiment2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_imdb_sentiment_model_3000_samples_k_ray_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_imdb_sentiment_model_3000_samples_k_ray_en.md
new file mode 100644
index 00000000000000..e49baeda9ddc69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_imdb_sentiment_model_3000_samples_k_ray_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_imdb_sentiment_model_3000_samples_k_ray DistilBertForSequenceClassification from K-Ray
+author: John Snow Labs
+name: finetuning_imdb_sentiment_model_3000_samples_k_ray
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_imdb_sentiment_model_3000_samples_k_ray` is a English model originally trained by K-Ray.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_imdb_sentiment_model_3000_samples_k_ray_en_5.5.0_3.0_1726792467845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_imdb_sentiment_model_3000_samples_k_ray_en_5.5.0_3.0_1726792467845.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_imdb_sentiment_model_3000_samples_k_ray|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/K-Ray/finetuning-imdb-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_imdb_sentiment_model_3000_samples_rahulgaikwad007_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_imdb_sentiment_model_3000_samples_rahulgaikwad007_pipeline_en.md
new file mode 100644
index 00000000000000..189589fa7143a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_imdb_sentiment_model_3000_samples_rahulgaikwad007_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_imdb_sentiment_model_3000_samples_rahulgaikwad007_pipeline pipeline DistilBertForSequenceClassification from rahulgaikwad007
+author: John Snow Labs
+name: finetuning_imdb_sentiment_model_3000_samples_rahulgaikwad007_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_imdb_sentiment_model_3000_samples_rahulgaikwad007_pipeline` is a English model originally trained by rahulgaikwad007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_imdb_sentiment_model_3000_samples_rahulgaikwad007_pipeline_en_5.5.0_3.0_1726842575421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_imdb_sentiment_model_3000_samples_rahulgaikwad007_pipeline_en_5.5.0_3.0_1726842575421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_imdb_sentiment_model_3000_samples_rahulgaikwad007_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_imdb_sentiment_model_3000_samples_rahulgaikwad007_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_imdb_sentiment_model_3000_samples_rahulgaikwad007_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rahulgaikwad007/finetuning-imdb-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_3_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_3_en.md
new file mode 100644
index 00000000000000..a9ca2e10265937
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_3 DistilBertForSequenceClassification from mamledes
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_3
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_3` is a English model originally trained by mamledes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_3_en_5.5.0_3.0_1726841969968.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_3_en_5.5.0_3.0_1726841969968.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mamledes/finetuning-sentiment-model-3000-samples_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_aaaaaiden_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_aaaaaiden_pipeline_en.md
new file mode 100644
index 00000000000000..e64602e4cb0264
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_aaaaaiden_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_aaaaaiden_pipeline pipeline DistilBertForSequenceClassification from AAAAAiden
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_aaaaaiden_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_aaaaaiden_pipeline` is a English model originally trained by AAAAAiden.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aaaaaiden_pipeline_en_5.5.0_3.0_1726832957501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_aaaaaiden_pipeline_en_5.5.0_3.0_1726832957501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_aaaaaiden_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_aaaaaiden_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_aaaaaiden_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/AAAAAiden/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_dscoder25_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_dscoder25_en.md
new file mode 100644
index 00000000000000..7bf20eacac8edc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_dscoder25_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_dscoder25 DistilBertForSequenceClassification from dscoder25
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_dscoder25
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_dscoder25` is a English model originally trained by dscoder25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dscoder25_en_5.5.0_3.0_1726841110633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dscoder25_en_5.5.0_3.0_1726841110633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_dscoder25|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dscoder25/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_dscoder25_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_dscoder25_pipeline_en.md
new file mode 100644
index 00000000000000..0b783b5260c698
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_dscoder25_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_dscoder25_pipeline pipeline DistilBertForSequenceClassification from dscoder25
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_dscoder25_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_dscoder25_pipeline` is a English model originally trained by dscoder25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dscoder25_pipeline_en_5.5.0_3.0_1726841124653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_dscoder25_pipeline_en_5.5.0_3.0_1726841124653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_dscoder25_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_dscoder25_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_dscoder25_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dscoder25/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_manikanta0002_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_manikanta0002_en.md
new file mode 100644
index 00000000000000..5a59f760079af6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_manikanta0002_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_manikanta0002 DistilBertForSequenceClassification from manikanta0002
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_manikanta0002
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_manikanta0002` is a English model originally trained by manikanta0002.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_manikanta0002_en_5.5.0_3.0_1726871717954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_manikanta0002_en_5.5.0_3.0_1726871717954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_manikanta0002|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/manikanta0002/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_mekteck_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_mekteck_en.md
new file mode 100644
index 00000000000000..ea2c22425df0e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_mekteck_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_mekteck DistilBertForSequenceClassification from Mekteck
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_mekteck
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mekteck` is a English model originally trained by Mekteck.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mekteck_en_5.5.0_3.0_1726792105962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mekteck_en_5.5.0_3.0_1726792105962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_mekteck|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mekteck/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_mekteck_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_mekteck_pipeline_en.md
new file mode 100644
index 00000000000000..b681c5e3eb1c2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_mekteck_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_mekteck_pipeline pipeline DistilBertForSequenceClassification from Mekteck
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_mekteck_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_mekteck_pipeline` is a English model originally trained by Mekteck.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mekteck_pipeline_en_5.5.0_3.0_1726792119456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_mekteck_pipeline_en_5.5.0_3.0_1726792119456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_mekteck_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_mekteck_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_mekteck_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mekteck/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_ml4algotrading_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_ml4algotrading_en.md
new file mode 100644
index 00000000000000..5d7b5ceb00946d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_ml4algotrading_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_ml4algotrading DistilBertForSequenceClassification from ml4algotrading
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_ml4algotrading
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ml4algotrading` is a English model originally trained by ml4algotrading.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ml4algotrading_en_5.5.0_3.0_1726860918683.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ml4algotrading_en_5.5.0_3.0_1726860918683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_ml4algotrading|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ml4algotrading/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_ml4algotrading_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_ml4algotrading_pipeline_en.md
new file mode 100644
index 00000000000000..c22cbc810b60cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_ml4algotrading_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_ml4algotrading_pipeline pipeline DistilBertForSequenceClassification from ml4algotrading
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_ml4algotrading_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ml4algotrading_pipeline` is a English model originally trained by ml4algotrading.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ml4algotrading_pipeline_en_5.5.0_3.0_1726860930585.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ml4algotrading_pipeline_en_5.5.0_3.0_1726860930585.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_ml4algotrading_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_ml4algotrading_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_ml4algotrading_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ml4algotrading/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_nypriya_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_nypriya_en.md
new file mode 100644
index 00000000000000..80bca5685f0cd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_nypriya_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_nypriya DistilBertForSequenceClassification from nypriya
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_nypriya
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nypriya` is a English model originally trained by nypriya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nypriya_en_5.5.0_3.0_1726809493059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nypriya_en_5.5.0_3.0_1726809493059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_nypriya|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nypriya/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_nypriya_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_nypriya_pipeline_en.md
new file mode 100644
index 00000000000000..0fa96e6e4b97e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_nypriya_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_nypriya_pipeline pipeline DistilBertForSequenceClassification from nypriya
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_nypriya_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nypriya_pipeline` is a English model originally trained by nypriya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nypriya_pipeline_en_5.5.0_3.0_1726809505231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nypriya_pipeline_en_5.5.0_3.0_1726809505231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_nypriya_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_nypriya_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_nypriya_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nypriya/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_renatadbc_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_renatadbc_en.md
new file mode 100644
index 00000000000000..824a4ce3b288e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_renatadbc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_renatadbc DistilBertForSequenceClassification from Renatadbc
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_renatadbc
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_renatadbc` is a English model originally trained by Renatadbc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_renatadbc_en_5.5.0_3.0_1726830164800.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_renatadbc_en_5.5.0_3.0_1726830164800.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_renatadbc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Renatadbc/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_renatadbc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_renatadbc_pipeline_en.md
new file mode 100644
index 00000000000000..dc86cb3fb0b0d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_renatadbc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_renatadbc_pipeline pipeline DistilBertForSequenceClassification from Renatadbc
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_renatadbc_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_renatadbc_pipeline` is a English model originally trained by Renatadbc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_renatadbc_pipeline_en_5.5.0_3.0_1726830176559.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_renatadbc_pipeline_en_5.5.0_3.0_1726830176559.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_renatadbc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_renatadbc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_renatadbc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Renatadbc/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_renhook_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_renhook_en.md
new file mode 100644
index 00000000000000..9e78d99c844db7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_renhook_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_renhook DistilBertForSequenceClassification from RenHook
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_renhook
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_renhook` is a English model originally trained by RenHook.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_renhook_en_5.5.0_3.0_1726841320079.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_renhook_en_5.5.0_3.0_1726841320079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_renhook|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RenHook/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_renhook_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_renhook_pipeline_en.md
new file mode 100644
index 00000000000000..c4897dbbb62580
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_renhook_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_renhook_pipeline pipeline DistilBertForSequenceClassification from RenHook
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_renhook_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_renhook_pipeline` is a English model originally trained by RenHook.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_renhook_pipeline_en_5.5.0_3.0_1726841332592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_renhook_pipeline_en_5.5.0_3.0_1726841332592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_renhook_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_renhook_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_renhook_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RenHook/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_stephfortiz_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_stephfortiz_en.md
new file mode 100644
index 00000000000000..938d37fef69246
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_stephfortiz_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_stephfortiz DistilBertForSequenceClassification from StephFortiz
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_stephfortiz
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_stephfortiz` is a English model originally trained by StephFortiz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_stephfortiz_en_5.5.0_3.0_1726861112800.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_stephfortiz_en_5.5.0_3.0_1726861112800.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_stephfortiz|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/StephFortiz/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_stephfortiz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_stephfortiz_pipeline_en.md
new file mode 100644
index 00000000000000..6106a35f1692ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_stephfortiz_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_stephfortiz_pipeline pipeline DistilBertForSequenceClassification from StephFortiz
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_stephfortiz_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_stephfortiz_pipeline` is a English model originally trained by StephFortiz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_stephfortiz_pipeline_en_5.5.0_3.0_1726861126932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_stephfortiz_pipeline_en_5.5.0_3.0_1726861126932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_stephfortiz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_stephfortiz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_stephfortiz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/StephFortiz/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_tiziperata_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_tiziperata_en.md
new file mode 100644
index 00000000000000..3371784628787a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_tiziperata_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_tiziperata DistilBertForSequenceClassification from tiziperata
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_tiziperata
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_tiziperata` is a English model originally trained by tiziperata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_tiziperata_en_5.5.0_3.0_1726830107516.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_tiziperata_en_5.5.0_3.0_1726830107516.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_tiziperata|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tiziperata/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_tiziperata_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_tiziperata_pipeline_en.md
new file mode 100644
index 00000000000000..4e38bace8345a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_tiziperata_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_tiziperata_pipeline pipeline DistilBertForSequenceClassification from tiziperata
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_tiziperata_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_tiziperata_pipeline` is a English model originally trained by tiziperata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_tiziperata_pipeline_en_5.5.0_3.0_1726830119406.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_tiziperata_pipeline_en_5.5.0_3.0_1726830119406.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_tiziperata_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_tiziperata_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_tiziperata_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tiziperata/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_williamtbarker_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_williamtbarker_en.md
new file mode 100644
index 00000000000000..2fd9a6f3422a7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_williamtbarker_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_williamtbarker DistilBertForSequenceClassification from williamtbarker
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_williamtbarker
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_williamtbarker` is a English model originally trained by williamtbarker.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_williamtbarker_en_5.5.0_3.0_1726841576553.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_williamtbarker_en_5.5.0_3.0_1726841576553.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_williamtbarker|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/williamtbarker/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_williamtbarker_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_williamtbarker_pipeline_en.md
new file mode 100644
index 00000000000000..328a6446b49cdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_williamtbarker_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_williamtbarker_pipeline pipeline DistilBertForSequenceClassification from williamtbarker
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_williamtbarker_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_williamtbarker_pipeline` is a English model originally trained by williamtbarker.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_williamtbarker_pipeline_en_5.5.0_3.0_1726841588466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_williamtbarker_pipeline_en_5.5.0_3.0_1726841588466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_williamtbarker_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_williamtbarker_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_williamtbarker_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/williamtbarker/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_xinyiding_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_xinyiding_en.md
new file mode 100644
index 00000000000000..b932976a5ca880
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_xinyiding_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_xinyiding DistilBertForSequenceClassification from xinyiding
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_xinyiding
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_xinyiding` is a English model originally trained by xinyiding.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_xinyiding_en_5.5.0_3.0_1726830346519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_xinyiding_en_5.5.0_3.0_1726830346519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_xinyiding|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/xinyiding/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_xinyiding_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_xinyiding_pipeline_en.md
new file mode 100644
index 00000000000000..31799f8c9b92c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_xinyiding_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_xinyiding_pipeline pipeline DistilBertForSequenceClassification from xinyiding
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_xinyiding_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_xinyiding_pipeline` is a English model originally trained by xinyiding.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_xinyiding_pipeline_en_5.5.0_3.0_1726830359508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_xinyiding_pipeline_en_5.5.0_3.0_1726830359508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_xinyiding_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_xinyiding_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_xinyiding_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/xinyiding/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_yeabinml_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_yeabinml_en.md
new file mode 100644
index 00000000000000..6d61e69beee447
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_yeabinml_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_yeabinml DistilBertForSequenceClassification from Yeabinml
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_yeabinml
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_yeabinml` is a English model originally trained by Yeabinml.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yeabinml_en_5.5.0_3.0_1726871349335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yeabinml_en_5.5.0_3.0_1726871349335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_yeabinml|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Yeabinml/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_300_samples_kanzabatool_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_300_samples_kanzabatool_en.md
new file mode 100644
index 00000000000000..9e63c7939438fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_300_samples_kanzabatool_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_300_samples_kanzabatool DistilBertForSequenceClassification from KanzaBatool
+author: John Snow Labs
+name: finetuning_sentiment_model_300_samples_kanzabatool
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_300_samples_kanzabatool` is a English model originally trained by KanzaBatool.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_300_samples_kanzabatool_en_5.5.0_3.0_1726824083459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_300_samples_kanzabatool_en_5.5.0_3.0_1726824083459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_300_samples_kanzabatool|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KanzaBatool/finetuning-sentiment-model-300-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_pipeline_en.md
new file mode 100644
index 00000000000000..3a3761ea60c9c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_pipeline pipeline DistilBertForSequenceClassification from A01793005
+author: John Snow Labs
+name: finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_pipeline` is a English model originally trained by A01793005.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_pipeline_en_5.5.0_3.0_1726848947952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_pipeline_en_5.5.0_3.0_1726848947952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_5000_amazonbaby_samples_a01793005_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/A01793005/finetuning-sentiment-model-5000-amazonbaby-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_bensonzhang_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_bensonzhang_en.md
new file mode 100644
index 00000000000000..d73a9ff09f7644
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_bensonzhang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_bensonzhang DistilBertForSequenceClassification from BensonZhang
+author: John Snow Labs
+name: finetuning_sentiment_model_bensonzhang
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_bensonzhang` is a English model originally trained by BensonZhang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_bensonzhang_en_5.5.0_3.0_1726842560434.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_bensonzhang_en_5.5.0_3.0_1726842560434.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_bensonzhang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BensonZhang/finetuning-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_bensonzhang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_bensonzhang_pipeline_en.md
new file mode 100644
index 00000000000000..4fd814ff224674
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_bensonzhang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_bensonzhang_pipeline pipeline DistilBertForSequenceClassification from BensonZhang
+author: John Snow Labs
+name: finetuning_sentiment_model_bensonzhang_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_bensonzhang_pipeline` is a English model originally trained by BensonZhang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_bensonzhang_pipeline_en_5.5.0_3.0_1726842575365.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_bensonzhang_pipeline_en_5.5.0_3.0_1726842575365.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_bensonzhang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_bensonzhang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_bensonzhang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BensonZhang/finetuning-sentiment-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_bugabooo30_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_bugabooo30_en.md
new file mode 100644
index 00000000000000..364ae57ca71501
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_bugabooo30_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_bugabooo30 DistilBertForSequenceClassification from Bugabooo30
+author: John Snow Labs
+name: finetuning_sentiment_model_bugabooo30
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_bugabooo30` is a English model originally trained by Bugabooo30.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_bugabooo30_en_5.5.0_3.0_1726841969962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_bugabooo30_en_5.5.0_3.0_1726841969962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_bugabooo30|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Bugabooo30/finetuning-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_bugabooo30_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_bugabooo30_pipeline_en.md
new file mode 100644
index 00000000000000..7a28487aa83cc1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_bugabooo30_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_bugabooo30_pipeline pipeline DistilBertForSequenceClassification from Bugabooo30
+author: John Snow Labs
+name: finetuning_sentiment_model_bugabooo30_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_bugabooo30_pipeline` is a English model originally trained by Bugabooo30.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_bugabooo30_pipeline_en_5.5.0_3.0_1726841982328.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_bugabooo30_pipeline_en_5.5.0_3.0_1726841982328.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_bugabooo30_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_bugabooo30_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_bugabooo30_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Bugabooo30/finetuning-sentiment-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_samples_prince12f_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_samples_prince12f_en.md
new file mode 100644
index 00000000000000..0784f45a59664b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_samples_prince12f_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_samples_prince12f DistilBertForSequenceClassification from Prince12f
+author: John Snow Labs
+name: finetuning_sentiment_model_samples_prince12f
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_samples_prince12f` is a English model originally trained by Prince12f.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_samples_prince12f_en_5.5.0_3.0_1726861315053.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_samples_prince12f_en_5.5.0_3.0_1726861315053.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_samples_prince12f|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Prince12f/finetuning-sentiment-model-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_samples_prince12f_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_samples_prince12f_pipeline_en.md
new file mode 100644
index 00000000000000..d37e335e437962
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_samples_prince12f_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_samples_prince12f_pipeline pipeline DistilBertForSequenceClassification from Prince12f
+author: John Snow Labs
+name: finetuning_sentiment_model_samples_prince12f_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_samples_prince12f_pipeline` is a English model originally trained by Prince12f.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_samples_prince12f_pipeline_en_5.5.0_3.0_1726861326498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_samples_prince12f_pipeline_en_5.5.0_3.0_1726861326498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_samples_prince12f_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_samples_prince12f_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_samples_prince12f_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Prince12f/finetuning-sentiment-model-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_roberta_base_model_10000_samples_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_roberta_base_model_10000_samples_pipeline_en.md
new file mode 100644
index 00000000000000..89412f3c0633ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_roberta_base_model_10000_samples_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_roberta_base_model_10000_samples_pipeline pipeline RoBertaForSequenceClassification from pryshlyak
+author: John Snow Labs
+name: finetuning_sentiment_roberta_base_model_10000_samples_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_roberta_base_model_10000_samples_pipeline` is a English model originally trained by pryshlyak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_roberta_base_model_10000_samples_pipeline_en_5.5.0_3.0_1726799069085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_roberta_base_model_10000_samples_pipeline_en_5.5.0_3.0_1726799069085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_roberta_base_model_10000_samples_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_roberta_base_model_10000_samples_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_roberta_base_model_10000_samples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|459.9 MB|
+
+## References
+
+https://huggingface.co/pryshlyak/finetuning-sentiment-roberta-base-model-10000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-frpile_mlm_basel_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-20-frpile_mlm_basel_roberta_en.md
new file mode 100644
index 00000000000000..d2771affdd95ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-frpile_mlm_basel_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English frpile_mlm_basel_roberta RoBertaEmbeddings from DragosGorduza
+author: John Snow Labs
+name: frpile_mlm_basel_roberta
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`frpile_mlm_basel_roberta` is a English model originally trained by DragosGorduza.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/frpile_mlm_basel_roberta_en_5.5.0_3.0_1726857261256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/frpile_mlm_basel_roberta_en_5.5.0_3.0_1726857261256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frpile_mlm_basel_roberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/DragosGorduza/FRPile_MLM_Basel_Roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-frpile_mlm_basel_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-frpile_mlm_basel_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..a7c0debff0f8aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-frpile_mlm_basel_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English frpile_mlm_basel_roberta_pipeline pipeline RoBertaEmbeddings from DragosGorduza
+author: John Snow Labs
+name: frpile_mlm_basel_roberta_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`frpile_mlm_basel_roberta_pipeline` is a English model originally trained by DragosGorduza.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/frpile_mlm_basel_roberta_pipeline_en_5.5.0_3.0_1726857283324.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/frpile_mlm_basel_roberta_pipeline_en_5.5.0_3.0_1726857283324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("frpile_mlm_basel_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("frpile_mlm_basel_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frpile_mlm_basel_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/DragosGorduza/FRPile_MLM_Basel_Roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ft_distb_toxicity_en.md b/docs/_posts/ahmedlone127/2024-09-20-ft_distb_toxicity_en.md
new file mode 100644
index 00000000000000..c70219ba5b5e4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ft_distb_toxicity_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ft_distb_toxicity DistilBertForSequenceClassification from Yash907
+author: John Snow Labs
+name: ft_distb_toxicity
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ft_distb_toxicity` is a English model originally trained by Yash907.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ft_distb_toxicity_en_5.5.0_3.0_1726830118159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ft_distb_toxicity_en_5.5.0_3.0_1726830118159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ft_distb_toxicity|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Yash907/ft-distb-toxicity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ft_distb_toxicity_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-ft_distb_toxicity_pipeline_en.md
new file mode 100644
index 00000000000000..a3760ebe322bb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ft_distb_toxicity_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ft_distb_toxicity_pipeline pipeline DistilBertForSequenceClassification from Yash907
+author: John Snow Labs
+name: ft_distb_toxicity_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ft_distb_toxicity_pipeline` is a English model originally trained by Yash907.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ft_distb_toxicity_pipeline_en_5.5.0_3.0_1726830129695.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ft_distb_toxicity_pipeline_en_5.5.0_3.0_1726830129695.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ft_distb_toxicity_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ft_distb_toxicity_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ft_distb_toxicity_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Yash907/ft-distb-toxicity
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-furina_seed42_eng_kinyarwanda_hau_cross_0_0001_en.md b/docs/_posts/ahmedlone127/2024-09-20-furina_seed42_eng_kinyarwanda_hau_cross_0_0001_en.md
new file mode 100644
index 00000000000000..1e16cd9937e1ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-furina_seed42_eng_kinyarwanda_hau_cross_0_0001_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English furina_seed42_eng_kinyarwanda_hau_cross_0_0001 XlmRoBertaForSequenceClassification from Shijia
+author: John Snow Labs
+name: furina_seed42_eng_kinyarwanda_hau_cross_0_0001
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`furina_seed42_eng_kinyarwanda_hau_cross_0_0001` is a English model originally trained by Shijia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_kinyarwanda_hau_cross_0_0001_en_5.5.0_3.0_1726846200936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_kinyarwanda_hau_cross_0_0001_en_5.5.0_3.0_1726846200936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|furina_seed42_eng_kinyarwanda_hau_cross_0_0001|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/Shijia/furina_seed42_eng_kin_hau_cross_0.0001
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-furina_seed42_eng_kinyarwanda_hau_cross_0_0001_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-furina_seed42_eng_kinyarwanda_hau_cross_0_0001_pipeline_en.md
new file mode 100644
index 00000000000000..d732c84a802f13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-furina_seed42_eng_kinyarwanda_hau_cross_0_0001_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English furina_seed42_eng_kinyarwanda_hau_cross_0_0001_pipeline pipeline XlmRoBertaForSequenceClassification from Shijia
+author: John Snow Labs
+name: furina_seed42_eng_kinyarwanda_hau_cross_0_0001_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`furina_seed42_eng_kinyarwanda_hau_cross_0_0001_pipeline` is a English model originally trained by Shijia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_kinyarwanda_hau_cross_0_0001_pipeline_en_5.5.0_3.0_1726846271254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_kinyarwanda_hau_cross_0_0001_pipeline_en_5.5.0_3.0_1726846271254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("furina_seed42_eng_kinyarwanda_hau_cross_0_0001_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("furina_seed42_eng_kinyarwanda_hau_cross_0_0001_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|furina_seed42_eng_kinyarwanda_hau_cross_0_0001_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/Shijia/furina_seed42_eng_kin_hau_cross_0.0001
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-furina_seed42_eng_kinyarwanda_hau_cross_2e_05_en.md b/docs/_posts/ahmedlone127/2024-09-20-furina_seed42_eng_kinyarwanda_hau_cross_2e_05_en.md
new file mode 100644
index 00000000000000..44a54ae468fdb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-furina_seed42_eng_kinyarwanda_hau_cross_2e_05_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English furina_seed42_eng_kinyarwanda_hau_cross_2e_05 XlmRoBertaForSequenceClassification from Shijia
+author: John Snow Labs
+name: furina_seed42_eng_kinyarwanda_hau_cross_2e_05
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`furina_seed42_eng_kinyarwanda_hau_cross_2e_05` is a English model originally trained by Shijia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_kinyarwanda_hau_cross_2e_05_en_5.5.0_3.0_1726865516748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_kinyarwanda_hau_cross_2e_05_en_5.5.0_3.0_1726865516748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|furina_seed42_eng_kinyarwanda_hau_cross_2e_05|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/Shijia/furina_seed42_eng_kin_hau_cross_2e-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-gal_ner_iw_catalan_galician_2_en.md b/docs/_posts/ahmedlone127/2024-09-20-gal_ner_iw_catalan_galician_2_en.md
new file mode 100644
index 00000000000000..98899ba673ebbb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-gal_ner_iw_catalan_galician_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English gal_ner_iw_catalan_galician_2 XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: gal_ner_iw_catalan_galician_2
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gal_ner_iw_catalan_galician_2` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gal_ner_iw_catalan_galician_2_en_5.5.0_3.0_1726842999907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gal_ner_iw_catalan_galician_2_en_5.5.0_3.0_1726842999907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gal_ner_iw_catalan_galician_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|426.5 MB|
+
+## References
+
+https://huggingface.co/homersimpson/gal-ner-iw-ca-gl-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-gal_ner_iw_catalan_galician_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-gal_ner_iw_catalan_galician_2_pipeline_en.md
new file mode 100644
index 00000000000000..5ad7755b472b13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-gal_ner_iw_catalan_galician_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gal_ner_iw_catalan_galician_2_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: gal_ner_iw_catalan_galician_2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gal_ner_iw_catalan_galician_2_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gal_ner_iw_catalan_galician_2_pipeline_en_5.5.0_3.0_1726843033314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gal_ner_iw_catalan_galician_2_pipeline_en_5.5.0_3.0_1726843033314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gal_ner_iw_catalan_galician_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gal_ner_iw_catalan_galician_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gal_ner_iw_catalan_galician_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|426.5 MB|
+
+## References
+
+https://huggingface.co/homersimpson/gal-ner-iw-ca-gl-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-harm_detection_en.md b/docs/_posts/ahmedlone127/2024-09-20-harm_detection_en.md
new file mode 100644
index 00000000000000..e3a6a70080ac39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-harm_detection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English harm_detection DistilBertForSequenceClassification from DaJulster
+author: John Snow Labs
+name: harm_detection
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`harm_detection` is a English model originally trained by DaJulster.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/harm_detection_en_5.5.0_3.0_1726792402290.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/harm_detection_en_5.5.0_3.0_1726792402290.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|harm_detection|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DaJulster/Harm_detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-harm_detection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-harm_detection_pipeline_en.md
new file mode 100644
index 00000000000000..be4810a3f5216b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-harm_detection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English harm_detection_pipeline pipeline DistilBertForSequenceClassification from DaJulster
+author: John Snow Labs
+name: harm_detection_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`harm_detection_pipeline` is a English model originally trained by DaJulster.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/harm_detection_pipeline_en_5.5.0_3.0_1726792414853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/harm_detection_pipeline_en_5.5.0_3.0_1726792414853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("harm_detection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("harm_detection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|harm_detection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DaJulster/Harm_detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-hate_hate_random0_seed0_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-hate_hate_random0_seed0_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..24672cc67e0c34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-hate_hate_random0_seed0_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_hate_random0_seed0_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random0_seed0_bernice_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random0_seed0_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random0_seed0_bernice_pipeline_en_5.5.0_3.0_1726865910419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random0_seed0_bernice_pipeline_en_5.5.0_3.0_1726865910419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_hate_random0_seed0_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_hate_random0_seed0_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random0_seed0_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|783.5 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random0_seed0-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-hate_hate_random2_seed0_twitter_roberta_base_dec2020_en.md b/docs/_posts/ahmedlone127/2024-09-20-hate_hate_random2_seed0_twitter_roberta_base_dec2020_en.md
new file mode 100644
index 00000000000000..bd354bbdbf5789
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-hate_hate_random2_seed0_twitter_roberta_base_dec2020_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_random2_seed0_twitter_roberta_base_dec2020 RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random2_seed0_twitter_roberta_base_dec2020
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random2_seed0_twitter_roberta_base_dec2020` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random2_seed0_twitter_roberta_base_dec2020_en_5.5.0_3.0_1726851589258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random2_seed0_twitter_roberta_base_dec2020_en_5.5.0_3.0_1726851589258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random2_seed0_twitter_roberta_base_dec2020|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random2_seed0-twitter-roberta-base-dec2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-hate_hate_random2_seed0_twitter_roberta_base_dec2020_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-hate_hate_random2_seed0_twitter_roberta_base_dec2020_pipeline_en.md
new file mode 100644
index 00000000000000..42a411d3c721e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-hate_hate_random2_seed0_twitter_roberta_base_dec2020_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_hate_random2_seed0_twitter_roberta_base_dec2020_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random2_seed0_twitter_roberta_base_dec2020_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random2_seed0_twitter_roberta_base_dec2020_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random2_seed0_twitter_roberta_base_dec2020_pipeline_en_5.5.0_3.0_1726851612285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random2_seed0_twitter_roberta_base_dec2020_pipeline_en_5.5.0_3.0_1726851612285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_hate_random2_seed0_twitter_roberta_base_dec2020_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_hate_random2_seed0_twitter_roberta_base_dec2020_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random2_seed0_twitter_roberta_base_dec2020_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random2_seed0-twitter-roberta-base-dec2020
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-hw1_1_question_answering_bert_base_chinese_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-20-hw1_1_question_answering_bert_base_chinese_finetuned_en.md
new file mode 100644
index 00000000000000..870761916f9b8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-hw1_1_question_answering_bert_base_chinese_finetuned_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English hw1_1_question_answering_bert_base_chinese_finetuned BertForQuestionAnswering from b10401015
+author: John Snow Labs
+name: hw1_1_question_answering_bert_base_chinese_finetuned
+date: 2024-09-20
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw1_1_question_answering_bert_base_chinese_finetuned` is a English model originally trained by b10401015.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw1_1_question_answering_bert_base_chinese_finetuned_en_5.5.0_3.0_1726833829131.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw1_1_question_answering_bert_base_chinese_finetuned_en_5.5.0_3.0_1726833829131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw1_1_question_answering_bert_base_chinese_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/b10401015/hw1-1-question_answering-bert-base-chinese-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-hw1_1_question_answering_bert_base_chinese_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-hw1_1_question_answering_bert_base_chinese_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..1d7671c884e707
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-hw1_1_question_answering_bert_base_chinese_finetuned_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English hw1_1_question_answering_bert_base_chinese_finetuned_pipeline pipeline BertForQuestionAnswering from b10401015
+author: John Snow Labs
+name: hw1_1_question_answering_bert_base_chinese_finetuned_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw1_1_question_answering_bert_base_chinese_finetuned_pipeline` is a English model originally trained by b10401015.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw1_1_question_answering_bert_base_chinese_finetuned_pipeline_en_5.5.0_3.0_1726833847120.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw1_1_question_answering_bert_base_chinese_finetuned_pipeline_en_5.5.0_3.0_1726833847120.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hw1_1_question_answering_bert_base_chinese_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hw1_1_question_answering_bert_base_chinese_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw1_1_question_answering_bert_base_chinese_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/b10401015/hw1-1-question_answering-bert-base-chinese-finetuned
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ibert_roberta_base_finetuned_imdb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-ibert_roberta_base_finetuned_imdb_pipeline_en.md
new file mode 100644
index 00000000000000..639a4ca48dc7cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ibert_roberta_base_finetuned_imdb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ibert_roberta_base_finetuned_imdb_pipeline pipeline RoBertaEmbeddings from elayat
+author: John Snow Labs
+name: ibert_roberta_base_finetuned_imdb_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ibert_roberta_base_finetuned_imdb_pipeline` is a English model originally trained by elayat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ibert_roberta_base_finetuned_imdb_pipeline_en_5.5.0_3.0_1726815729901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ibert_roberta_base_finetuned_imdb_pipeline_en_5.5.0_3.0_1726815729901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ibert_roberta_base_finetuned_imdb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ibert_roberta_base_finetuned_imdb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ibert_roberta_base_finetuned_imdb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/elayat/ibert-roberta-base-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-icebert_igc_is.md b/docs/_posts/ahmedlone127/2024-09-20-icebert_igc_is.md
new file mode 100644
index 00000000000000..2a8c3b8e752112
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-icebert_igc_is.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Icelandic icebert_igc RoBertaEmbeddings from mideind
+author: John Snow Labs
+name: icebert_igc
+date: 2024-09-20
+tags: [is, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: is
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`icebert_igc` is a Icelandic model originally trained by mideind.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/icebert_igc_is_5.5.0_3.0_1726816456111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/icebert_igc_is_5.5.0_3.0_1726816456111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|icebert_igc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|is|
+|Size:|295.9 MB|
+
+## References
+
+https://huggingface.co/mideind/IceBERT-igc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ieq_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-ieq_bert_pipeline_en.md
new file mode 100644
index 00000000000000..78dc47f27a096a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ieq_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ieq_bert_pipeline pipeline BertForSequenceClassification from ieq
+author: John Snow Labs
+name: ieq_bert_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ieq_bert_pipeline` is a English model originally trained by ieq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ieq_bert_pipeline_en_5.5.0_3.0_1726828919987.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ieq_bert_pipeline_en_5.5.0_3.0_1726828919987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ieq_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ieq_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ieq_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ieq/IEQ-BERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-imdbreviews_classification_distilbert_v02_maherh_en.md b/docs/_posts/ahmedlone127/2024-09-20-imdbreviews_classification_distilbert_v02_maherh_en.md
new file mode 100644
index 00000000000000..de7577bd475d99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-imdbreviews_classification_distilbert_v02_maherh_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English imdbreviews_classification_distilbert_v02_maherh BertForSequenceClassification from maherh
+author: John Snow Labs
+name: imdbreviews_classification_distilbert_v02_maherh
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v02_maherh` is a English model originally trained by maherh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_maherh_en_5.5.0_3.0_1726870100675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_maherh_en_5.5.0_3.0_1726870100675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdbreviews_classification_distilbert_v02_maherh|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.1 MB|
+
+## References
+
+https://huggingface.co/maherh/imdbreviews_classification_distilbert_v02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-imdbreviews_classification_distilbert_v02_maherh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-imdbreviews_classification_distilbert_v02_maherh_pipeline_en.md
new file mode 100644
index 00000000000000..834ae13edbfeec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-imdbreviews_classification_distilbert_v02_maherh_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English imdbreviews_classification_distilbert_v02_maherh_pipeline pipeline BertForSequenceClassification from maherh
+author: John Snow Labs
+name: imdbreviews_classification_distilbert_v02_maherh_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v02_maherh_pipeline` is a English model originally trained by maherh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_maherh_pipeline_en_5.5.0_3.0_1726870103025.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_maherh_pipeline_en_5.5.0_3.0_1726870103025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imdbreviews_classification_distilbert_v02_maherh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imdbreviews_classification_distilbert_v02_maherh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdbreviews_classification_distilbert_v02_maherh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/maherh/imdbreviews_classification_distilbert_v02
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-infoxlm_base_on_custom_kural_500_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-infoxlm_base_on_custom_kural_500_pipeline_en.md
new file mode 100644
index 00000000000000..fcc2ec397c9067
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-infoxlm_base_on_custom_kural_500_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English infoxlm_base_on_custom_kural_500_pipeline pipeline XlmRoBertaForSequenceClassification from bikram22pi7
+author: John Snow Labs
+name: infoxlm_base_on_custom_kural_500_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`infoxlm_base_on_custom_kural_500_pipeline` is a English model originally trained by bikram22pi7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/infoxlm_base_on_custom_kural_500_pipeline_en_5.5.0_3.0_1726846462142.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/infoxlm_base_on_custom_kural_500_pipeline_en_5.5.0_3.0_1726846462142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("infoxlm_base_on_custom_kural_500_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("infoxlm_base_on_custom_kural_500_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|infoxlm_base_on_custom_kural_500_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|777.7 MB|
+
+## References
+
+https://huggingface.co/bikram22pi7/infoxlm-base-on-custom-kural-500
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-inisw08_robert_mlm_adagrad_en.md b/docs/_posts/ahmedlone127/2024-09-20-inisw08_robert_mlm_adagrad_en.md
new file mode 100644
index 00000000000000..08fb226f8d4205
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-inisw08_robert_mlm_adagrad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English inisw08_robert_mlm_adagrad RoBertaEmbeddings from ugiugi
+author: John Snow Labs
+name: inisw08_robert_mlm_adagrad
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`inisw08_robert_mlm_adagrad` is a English model originally trained by ugiugi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inisw08_robert_mlm_adagrad_en_5.5.0_3.0_1726857605416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inisw08_robert_mlm_adagrad_en_5.5.0_3.0_1726857605416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inisw08_robert_mlm_adagrad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/ugiugi/inisw08-RoBERT-mlm-adagrad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-inisw08_robert_mlm_adagrad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-inisw08_robert_mlm_adagrad_pipeline_en.md
new file mode 100644
index 00000000000000..973a251264a2e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-inisw08_robert_mlm_adagrad_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English inisw08_robert_mlm_adagrad_pipeline pipeline RoBertaEmbeddings from ugiugi
+author: John Snow Labs
+name: inisw08_robert_mlm_adagrad_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`inisw08_robert_mlm_adagrad_pipeline` is a English model originally trained by ugiugi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inisw08_robert_mlm_adagrad_pipeline_en_5.5.0_3.0_1726857633819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inisw08_robert_mlm_adagrad_pipeline_en_5.5.0_3.0_1726857633819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("inisw08_robert_mlm_adagrad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("inisw08_robert_mlm_adagrad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inisw08_robert_mlm_adagrad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/ugiugi/inisw08-RoBERT-mlm-adagrad
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-intent_classification_distilbert_hoaan2003_en.md b/docs/_posts/ahmedlone127/2024-09-20-intent_classification_distilbert_hoaan2003_en.md
new file mode 100644
index 00000000000000..69293ee4df61ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-intent_classification_distilbert_hoaan2003_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English intent_classification_distilbert_hoaan2003 DistilBertForSequenceClassification from HoaAn2003
+author: John Snow Labs
+name: intent_classification_distilbert_hoaan2003
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_classification_distilbert_hoaan2003` is a English model originally trained by HoaAn2003.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classification_distilbert_hoaan2003_en_5.5.0_3.0_1726848629901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classification_distilbert_hoaan2003_en_5.5.0_3.0_1726848629901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intent_classification_distilbert_hoaan2003|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/HoaAn2003/intent_classification_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-job_listing_filtering_model_en.md b/docs/_posts/ahmedlone127/2024-09-20-job_listing_filtering_model_en.md
new file mode 100644
index 00000000000000..eb36a0cd9ce8be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-job_listing_filtering_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English job_listing_filtering_model XlmRoBertaForSequenceClassification from saattrupdan
+author: John Snow Labs
+name: job_listing_filtering_model
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`job_listing_filtering_model` is a English model originally trained by saattrupdan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/job_listing_filtering_model_en_5.5.0_3.0_1726845998495.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/job_listing_filtering_model_en_5.5.0_3.0_1726845998495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kannadabert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|450.6 MB|
+
+## References
+
+https://huggingface.co/Chakita/KannadaBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ks8_en.md b/docs/_posts/ahmedlone127/2024-09-20-ks8_en.md
new file mode 100644
index 00000000000000..0c734b07f46d36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ks8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ks8 RoBertaForSequenceClassification from aloxatel
+author: John Snow Labs
+name: ks8
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ks8` is a English model originally trained by aloxatel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ks8_en_5.5.0_3.0_1726849776466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ks8_en_5.5.0_3.0_1726849776466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ks8|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/aloxatel/KS8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-llm_b_hw1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-llm_b_hw1_pipeline_en.md
new file mode 100644
index 00000000000000..ef06e8a0e8784f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-llm_b_hw1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English llm_b_hw1_pipeline pipeline DistilBertForSequenceClassification from VincentYH
+author: John Snow Labs
+name: llm_b_hw1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`llm_b_hw1_pipeline` is a English model originally trained by VincentYH.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/llm_b_hw1_pipeline_en_5.5.0_3.0_1726841460739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/llm_b_hw1_pipeline_en_5.5.0_3.0_1726841460739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("llm_b_hw1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("llm_b_hw1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|llm_b_hw1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/VincentYH/LLM_B_HW1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-llmclasswork1_en.md b/docs/_posts/ahmedlone127/2024-09-20-llmclasswork1_en.md
new file mode 100644
index 00000000000000..5fdbfb4fd3f4c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-llmclasswork1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English llmclasswork1 DistilBertForSequenceClassification from halu1003
+author: John Snow Labs
+name: llmclasswork1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`llmclasswork1` is a English model originally trained by halu1003.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/llmclasswork1_en_5.5.0_3.0_1726842086882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/llmclasswork1_en_5.5.0_3.0_1726842086882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|llmclasswork1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/halu1003/LLMClassWork1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-locale_detector_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-locale_detector_pipeline_en.md
new file mode 100644
index 00000000000000..bf896d2872e2ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-locale_detector_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English locale_detector_pipeline pipeline XlmRoBertaForSequenceClassification from yo
+author: John Snow Labs
+name: locale_detector_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`locale_detector_pipeline` is a English model originally trained by yo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/locale_detector_pipeline_en_5.5.0_3.0_1726866368419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/locale_detector_pipeline_en_5.5.0_3.0_1726866368419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("locale_detector_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("locale_detector_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|locale_detector_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|844.0 MB|
+
+## References
+
+https://huggingface.co/yo/locale-detector
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-log_pretrained_bert_en.md b/docs/_posts/ahmedlone127/2024-09-20-log_pretrained_bert_en.md
new file mode 100644
index 00000000000000..c794ea53318c9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-log_pretrained_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English log_pretrained_bert BertEmbeddings from eun-woo
+author: John Snow Labs
+name: log_pretrained_bert
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`log_pretrained_bert` is a English model originally trained by eun-woo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/log_pretrained_bert_en_5.5.0_3.0_1726825597017.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/log_pretrained_bert_en_5.5.0_3.0_1726825597017.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|log_pretrained_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.6 MB|
+
+## References
+
+https://huggingface.co/eun-woo/log_pretrained-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline_en.md
new file mode 100644
index 00000000000000..99331266a04810
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline pipeline RoBertaForSequenceClassification from sara-nabhani
+author: John Snow Labs
+name: ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline` is a English model originally trained by sara-nabhani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline_en_5.5.0_3.0_1726804540890.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline_en_5.5.0_3.0_1726804540890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ltp_roberta_large_defaultltp_roberta_large_default_char_ins_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/sara-nabhani/ltp-roberta-large-defaultltp-roberta-large-default-char_ins
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-marbertv2_finetuned_egyptian_hate_speech_detection_ar.md b/docs/_posts/ahmedlone127/2024-09-20-marbertv2_finetuned_egyptian_hate_speech_detection_ar.md
new file mode 100644
index 00000000000000..fb2be14ca04a9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-marbertv2_finetuned_egyptian_hate_speech_detection_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic marbertv2_finetuned_egyptian_hate_speech_detection BertForSequenceClassification from IbrahimAmin
+author: John Snow Labs
+name: marbertv2_finetuned_egyptian_hate_speech_detection
+date: 2024-09-20
+tags: [ar, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marbertv2_finetuned_egyptian_hate_speech_detection` is a Arabic model originally trained by IbrahimAmin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marbertv2_finetuned_egyptian_hate_speech_detection_ar_5.5.0_3.0_1726860432597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marbertv2_finetuned_egyptian_hate_speech_detection_ar_5.5.0_3.0_1726860432597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marbertv2_finetuned_egyptian_hate_speech_detection|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ar|
+|Size:|608.8 MB|
+
+## References
+
+https://huggingface.co/IbrahimAmin/marbertv2-finetuned-egyptian-hate-speech-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-max_pruned_90_model_en.md b/docs/_posts/ahmedlone127/2024-09-20-max_pruned_90_model_en.md
new file mode 100644
index 00000000000000..b2684a99e08730
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-max_pruned_90_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English max_pruned_90_model DistilBertForSequenceClassification from andygoh5
+author: John Snow Labs
+name: max_pruned_90_model
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`max_pruned_90_model` is a English model originally trained by andygoh5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/max_pruned_90_model_en_5.5.0_3.0_1726792488415.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/max_pruned_90_model_en_5.5.0_3.0_1726792488415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|max_pruned_90_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/andygoh5/max-pruned-90-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-mental_classification_en.md b/docs/_posts/ahmedlone127/2024-09-20-mental_classification_en.md
new file mode 100644
index 00000000000000..2a3e8dc5cc62c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-mental_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mental_classification RoBertaForSequenceClassification from Amalq
+author: John Snow Labs
+name: mental_classification
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mental_classification` is a English model originally trained by Amalq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mental_classification_en_5.5.0_3.0_1726850338897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mental_classification_en_5.5.0_3.0_1726850338897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mental_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Amalq/mental_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-mental_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-mental_classification_pipeline_en.md
new file mode 100644
index 00000000000000..0f8223ff5c9e3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-mental_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mental_classification_pipeline pipeline RoBertaForSequenceClassification from Amalq
+author: John Snow Labs
+name: mental_classification_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mental_classification_pipeline` is a English model originally trained by Amalq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mental_classification_pipeline_en_5.5.0_3.0_1726850403279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mental_classification_pipeline_en_5.5.0_3.0_1726850403279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mental_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mental_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mental_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Amalq/mental_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-mixologydb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-mixologydb_pipeline_en.md
new file mode 100644
index 00000000000000..8033216eb61433
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-mixologydb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mixologydb_pipeline pipeline DistilBertForSequenceClassification from mclemcrew
+author: John Snow Labs
+name: mixologydb_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mixologydb_pipeline` is a English model originally trained by mclemcrew.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mixologydb_pipeline_en_5.5.0_3.0_1726848558035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mixologydb_pipeline_en_5.5.0_3.0_1726848558035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mixologydb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mixologydb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mixologydb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mclemcrew/MixologyDB
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-mlm_nomsgadded_en.md b/docs/_posts/ahmedlone127/2024-09-20-mlm_nomsgadded_en.md
new file mode 100644
index 00000000000000..05f06363335796
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-mlm_nomsgadded_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mlm_nomsgadded RoBertaEmbeddings from nomsgadded
+author: John Snow Labs
+name: mlm_nomsgadded
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mlm_nomsgadded` is a English model originally trained by nomsgadded.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlm_nomsgadded_en_5.5.0_3.0_1726857649901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlm_nomsgadded_en_5.5.0_3.0_1726857649901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlm_nomsgadded|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/nomsgadded/mlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-mlm_nomsgadded_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-mlm_nomsgadded_pipeline_en.md
new file mode 100644
index 00000000000000..54b059e0aa1c73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-mlm_nomsgadded_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mlm_nomsgadded_pipeline pipeline RoBertaEmbeddings from nomsgadded
+author: John Snow Labs
+name: mlm_nomsgadded_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mlm_nomsgadded_pipeline` is a English model originally trained by nomsgadded.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlm_nomsgadded_pipeline_en_5.5.0_3.0_1726857671742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlm_nomsgadded_pipeline_en_5.5.0_3.0_1726857671742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mlm_nomsgadded_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mlm_nomsgadded_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlm_nomsgadded_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/nomsgadded/mlm
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-mlm_pretrain_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-mlm_pretrain_model_pipeline_en.md
new file mode 100644
index 00000000000000..23804bfdc6dfe5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-mlm_pretrain_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mlm_pretrain_model_pipeline pipeline RoBertaEmbeddings from pavi156
+author: John Snow Labs
+name: mlm_pretrain_model_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mlm_pretrain_model_pipeline` is a English model originally trained by pavi156.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlm_pretrain_model_pipeline_en_5.5.0_3.0_1726816157274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlm_pretrain_model_pipeline_en_5.5.0_3.0_1726816157274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mlm_pretrain_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mlm_pretrain_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlm_pretrain_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.4 MB|
+
+## References
+
+https://huggingface.co/pavi156/mlm_pretrain_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-mlops_bd_0509_en.md b/docs/_posts/ahmedlone127/2024-09-20-mlops_bd_0509_en.md
new file mode 100644
index 00000000000000..3125ba189162f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-mlops_bd_0509_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mlops_bd_0509 DistilBertForSequenceClassification from AliMokh
+author: John Snow Labs
+name: mlops_bd_0509
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mlops_bd_0509` is a English model originally trained by AliMokh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlops_bd_0509_en_5.5.0_3.0_1726830007417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlops_bd_0509_en_5.5.0_3.0_1726830007417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlops_bd_0509|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AliMokh/MLOps_BD_0509
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-mlops_bd_0509_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-mlops_bd_0509_pipeline_en.md
new file mode 100644
index 00000000000000..5b337d7935dd28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-mlops_bd_0509_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mlops_bd_0509_pipeline pipeline DistilBertForSequenceClassification from AliMokh
+author: John Snow Labs
+name: mlops_bd_0509_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mlops_bd_0509_pipeline` is a English model originally trained by AliMokh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlops_bd_0509_pipeline_en_5.5.0_3.0_1726830020384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlops_bd_0509_pipeline_en_5.5.0_3.0_1726830020384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mlops_bd_0509_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mlops_bd_0509_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlops_bd_0509_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AliMokh/MLOps_BD_0509
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-model_3_en.md b/docs/_posts/ahmedlone127/2024-09-20-model_3_en.md
new file mode 100644
index 00000000000000..86bcd63bda82a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-model_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_3 BertForSequenceClassification from cannotbolt
+author: John Snow Labs
+name: model_3
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_3` is a English model originally trained by cannotbolt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_3_en_5.5.0_3.0_1726870087492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_3_en_5.5.0_3.0_1726870087492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/cannotbolt/model_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-model_jbinek_en.md b/docs/_posts/ahmedlone127/2024-09-20-model_jbinek_en.md
new file mode 100644
index 00000000000000..f2b9ee3c15f21f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-model_jbinek_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_jbinek RoBertaForSequenceClassification from jbinek
+author: John Snow Labs
+name: model_jbinek
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_jbinek` is a English model originally trained by jbinek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_jbinek_en_5.5.0_3.0_1726851940822.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_jbinek_en_5.5.0_3.0_1726851940822.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_jbinek|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|416.4 MB|
+
+## References
+
+https://huggingface.co/jbinek/model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-model_name_emma0123_en.md b/docs/_posts/ahmedlone127/2024-09-20-model_name_emma0123_en.md
new file mode 100644
index 00000000000000..75dae81efd36f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-model_name_emma0123_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_name_emma0123 DistilBertForSequenceClassification from Emma0123
+author: John Snow Labs
+name: model_name_emma0123
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_name_emma0123` is a English model originally trained by Emma0123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_name_emma0123_en_5.5.0_3.0_1726830087551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_name_emma0123_en_5.5.0_3.0_1726830087551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_name_emma0123|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Emma0123/model_name
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-model_name_emma0123_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-model_name_emma0123_pipeline_en.md
new file mode 100644
index 00000000000000..f6ce6d8a31c913
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-model_name_emma0123_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model_name_emma0123_pipeline pipeline DistilBertForSequenceClassification from Emma0123
+author: John Snow Labs
+name: model_name_emma0123_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_name_emma0123_pipeline` is a English model originally trained by Emma0123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_name_emma0123_pipeline_en_5.5.0_3.0_1726830100796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_name_emma0123_pipeline_en_5.5.0_3.0_1726830100796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model_name_emma0123_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model_name_emma0123_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_name_emma0123_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Emma0123/model_name
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-modello_finetunato_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-modello_finetunato_pipeline_en.md
new file mode 100644
index 00000000000000..3d4326fe76493e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-modello_finetunato_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English modello_finetunato_pipeline pipeline DistilBertForSequenceClassification from soniarocca31
+author: John Snow Labs
+name: modello_finetunato_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modello_finetunato_pipeline` is a English model originally trained by soniarocca31.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modello_finetunato_pipeline_en_5.5.0_3.0_1726848836693.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modello_finetunato_pipeline_en_5.5.0_3.0_1726848836693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("modello_finetunato_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("modello_finetunato_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modello_finetunato_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/soniarocca31/modello_finetunato
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-mongolian_xlm_roberta_base_ner_hrl_pipeline_mn.md b/docs/_posts/ahmedlone127/2024-09-20-mongolian_xlm_roberta_base_ner_hrl_pipeline_mn.md
new file mode 100644
index 00000000000000..9508234fc8960b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-mongolian_xlm_roberta_base_ner_hrl_pipeline_mn.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Mongolian mongolian_xlm_roberta_base_ner_hrl_pipeline pipeline XlmRoBertaForTokenClassification from srglnjmb
+author: John Snow Labs
+name: mongolian_xlm_roberta_base_ner_hrl_pipeline
+date: 2024-09-20
+tags: [mn, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: mn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mongolian_xlm_roberta_base_ner_hrl_pipeline` is a Mongolian model originally trained by srglnjmb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mongolian_xlm_roberta_base_ner_hrl_pipeline_mn_5.5.0_3.0_1726843541770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mongolian_xlm_roberta_base_ner_hrl_pipeline_mn_5.5.0_3.0_1726843541770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mongolian_xlm_roberta_base_ner_hrl_pipeline", lang = "mn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mongolian_xlm_roberta_base_ner_hrl_pipeline", lang = "mn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mongolian_xlm_roberta_base_ner_hrl_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mn|
+|Size:|911.8 MB|
+
+## References
+
+https://huggingface.co/srglnjmb/Mongolian-xlm-roberta-base-ner-hrl
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-movie_genre_multi_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-movie_genre_multi_classification_pipeline_en.md
new file mode 100644
index 00000000000000..b1204ebdae3b41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-movie_genre_multi_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English movie_genre_multi_classification_pipeline pipeline DistilBertForSequenceClassification from handler-bird
+author: John Snow Labs
+name: movie_genre_multi_classification_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movie_genre_multi_classification_pipeline` is a English model originally trained by handler-bird.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_genre_multi_classification_pipeline_en_5.5.0_3.0_1726809633901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_genre_multi_classification_pipeline_en_5.5.0_3.0_1726809633901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("movie_genre_multi_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("movie_genre_multi_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_genre_multi_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/handler-bird/movie_genre_multi_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-mtwitter_roberta_base_model_reviewingcls_r1_en.md b/docs/_posts/ahmedlone127/2024-09-20-mtwitter_roberta_base_model_reviewingcls_r1_en.md
new file mode 100644
index 00000000000000..4e34005a7082b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-mtwitter_roberta_base_model_reviewingcls_r1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mtwitter_roberta_base_model_reviewingcls_r1 RoBertaForSequenceClassification from Yeerchiu
+author: John Snow Labs
+name: mtwitter_roberta_base_model_reviewingcls_r1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mtwitter_roberta_base_model_reviewingcls_r1` is a English model originally trained by Yeerchiu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mtwitter_roberta_base_model_reviewingcls_r1_en_5.5.0_3.0_1726852163081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mtwitter_roberta_base_model_reviewingcls_r1_en_5.5.0_3.0_1726852163081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mtwitter_roberta_base_model_reviewingcls_r1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Yeerchiu/mtwitter-roberta-base-model-reviewingcls-r1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-mtwitter_roberta_base_model_reviewingcls_r1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-mtwitter_roberta_base_model_reviewingcls_r1_pipeline_en.md
new file mode 100644
index 00000000000000..294ee2e5b7512c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-mtwitter_roberta_base_model_reviewingcls_r1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mtwitter_roberta_base_model_reviewingcls_r1_pipeline pipeline RoBertaForSequenceClassification from Yeerchiu
+author: John Snow Labs
+name: mtwitter_roberta_base_model_reviewingcls_r1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mtwitter_roberta_base_model_reviewingcls_r1_pipeline` is a English model originally trained by Yeerchiu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mtwitter_roberta_base_model_reviewingcls_r1_pipeline_en_5.5.0_3.0_1726852186095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mtwitter_roberta_base_model_reviewingcls_r1_pipeline_en_5.5.0_3.0_1726852186095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mtwitter_roberta_base_model_reviewingcls_r1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mtwitter_roberta_base_model_reviewingcls_r1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mtwitter_roberta_base_model_reviewingcls_r1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Yeerchiu/mtwitter-roberta-base-model-reviewingcls-r1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-n_distilbert_twitterfin_padding10model_wyzhw_en.md b/docs/_posts/ahmedlone127/2024-09-20-n_distilbert_twitterfin_padding10model_wyzhw_en.md
new file mode 100644
index 00000000000000..43d2716b8496c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-n_distilbert_twitterfin_padding10model_wyzhw_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_distilbert_twitterfin_padding10model_wyzhw DistilBertForSequenceClassification from wyzhw
+author: John Snow Labs
+name: n_distilbert_twitterfin_padding10model_wyzhw
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_distilbert_twitterfin_padding10model_wyzhw` is a English model originally trained by wyzhw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_distilbert_twitterfin_padding10model_wyzhw_en_5.5.0_3.0_1726860761682.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_distilbert_twitterfin_padding10model_wyzhw_en_5.5.0_3.0_1726860761682.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_distilbert_twitterfin_padding10model_wyzhw|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wyzhw/N_distilbert_twitterfin_padding10model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ndd_claroline_test_content_tags_en.md b/docs/_posts/ahmedlone127/2024-09-20-ndd_claroline_test_content_tags_en.md
new file mode 100644
index 00000000000000..c69dada0c9df41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ndd_claroline_test_content_tags_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ndd_claroline_test_content_tags DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: ndd_claroline_test_content_tags
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ndd_claroline_test_content_tags` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ndd_claroline_test_content_tags_en_5.5.0_3.0_1726861207724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ndd_claroline_test_content_tags_en_5.5.0_3.0_1726861207724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ndd_claroline_test_content_tags|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/NDD-claroline_test-content_tags
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ndd_claroline_test_content_tags_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-ndd_claroline_test_content_tags_pipeline_en.md
new file mode 100644
index 00000000000000..706b27f53ff22f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ndd_claroline_test_content_tags_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ndd_claroline_test_content_tags_pipeline pipeline DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: ndd_claroline_test_content_tags_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ndd_claroline_test_content_tags_pipeline` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ndd_claroline_test_content_tags_pipeline_en_5.5.0_3.0_1726861219982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ndd_claroline_test_content_tags_pipeline_en_5.5.0_3.0_1726861219982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ndd_claroline_test_content_tags_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ndd_claroline_test_content_tags_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ndd_claroline_test_content_tags_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/NDD-claroline_test-content_tags
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ndd_mantisbt_test_tags_en.md b/docs/_posts/ahmedlone127/2024-09-20-ndd_mantisbt_test_tags_en.md
new file mode 100644
index 00000000000000..1ba58b844cc9da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ndd_mantisbt_test_tags_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ndd_mantisbt_test_tags DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: ndd_mantisbt_test_tags
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ndd_mantisbt_test_tags` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ndd_mantisbt_test_tags_en_5.5.0_3.0_1726871306752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ndd_mantisbt_test_tags_en_5.5.0_3.0_1726871306752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ndd_mantisbt_test_tags|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/NDD-mantisbt_test-tags
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ner_ner_random0_seed2_roberta_large_en.md b/docs/_posts/ahmedlone127/2024-09-20-ner_ner_random0_seed2_roberta_large_en.md
new file mode 100644
index 00000000000000..25d336c7aaabf8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ner_ner_random0_seed2_roberta_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_ner_random0_seed2_roberta_large RoBertaForTokenClassification from tweettemposhift
+author: John Snow Labs
+name: ner_ner_random0_seed2_roberta_large
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_ner_random0_seed2_roberta_large` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_ner_random0_seed2_roberta_large_en_5.5.0_3.0_1726847326962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_ner_random0_seed2_roberta_large_en_5.5.0_3.0_1726847326962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_ner_random0_seed2_roberta_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/ner-ner_random0_seed2-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ner_ner_random0_seed2_roberta_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-ner_ner_random0_seed2_roberta_large_pipeline_en.md
new file mode 100644
index 00000000000000..539e551b1e7e4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ner_ner_random0_seed2_roberta_large_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_ner_random0_seed2_roberta_large_pipeline pipeline RoBertaForTokenClassification from tweettemposhift
+author: John Snow Labs
+name: ner_ner_random0_seed2_roberta_large_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_ner_random0_seed2_roberta_large_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_ner_random0_seed2_roberta_large_pipeline_en_5.5.0_3.0_1726847404591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_ner_random0_seed2_roberta_large_pipeline_en_5.5.0_3.0_1726847404591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_ner_random0_seed2_roberta_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_ner_random0_seed2_roberta_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_ner_random0_seed2_roberta_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/ner-ner_random0_seed2-roberta-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline_en.md
new file mode 100644
index 00000000000000..78d04bb0842c28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline pipeline RoBertaForTokenClassification from tweettemposhift
+author: John Snow Labs
+name: ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline_en_5.5.0_3.0_1726853767398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline_en_5.5.0_3.0_1726853767398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/ner-ner_random2_seed1-twitter-roberta-large-2022-154m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nerd_nerd_random1_seed0_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-20-nerd_nerd_random1_seed0_bernice_en.md
new file mode 100644
index 00000000000000..f8333d7bc319d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nerd_nerd_random1_seed0_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nerd_nerd_random1_seed0_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random1_seed0_bernice
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random1_seed0_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed0_bernice_en_5.5.0_3.0_1726846145859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed0_bernice_en_5.5.0_3.0_1726846145859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random1_seed0_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|831.7 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random1_seed0-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nerd_nerd_random1_seed0_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-nerd_nerd_random1_seed0_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..29aaaa3f7fae50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nerd_nerd_random1_seed0_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nerd_nerd_random1_seed0_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random1_seed0_bernice_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random1_seed0_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed0_bernice_pipeline_en_5.5.0_3.0_1726846271018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed0_bernice_pipeline_en_5.5.0_3.0_1726846271018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nerd_nerd_random1_seed0_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nerd_nerd_random1_seed0_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random1_seed0_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|831.7 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random1_seed0-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-netuid1_classification_en.md b/docs/_posts/ahmedlone127/2024-09-20-netuid1_classification_en.md
new file mode 100644
index 00000000000000..d26fc616882e1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-netuid1_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English netuid1_classification DistilBertForSequenceClassification from 0x9
+author: John Snow Labs
+name: netuid1_classification
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`netuid1_classification` is a English model originally trained by 0x9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/netuid1_classification_en_5.5.0_3.0_1726848550707.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/netuid1_classification_en_5.5.0_3.0_1726848550707.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|netuid1_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/0x9/netuid1-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-netuid1_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-netuid1_classification_pipeline_en.md
new file mode 100644
index 00000000000000..02e0a475b0b205
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-netuid1_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English netuid1_classification_pipeline pipeline DistilBertForSequenceClassification from 0x9
+author: John Snow Labs
+name: netuid1_classification_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`netuid1_classification_pipeline` is a English model originally trained by 0x9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/netuid1_classification_pipeline_en_5.5.0_3.0_1726848562650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/netuid1_classification_pipeline_en_5.5.0_3.0_1726848562650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("netuid1_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("netuid1_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|netuid1_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/0x9/netuid1-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-news_classifier_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-09-20-news_classifier_pipeline_ru.md
new file mode 100644
index 00000000000000..073ced5e129f0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-news_classifier_pipeline_ru.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Russian news_classifier_pipeline pipeline BertForSequenceClassification from MikhailRepkin
+author: John Snow Labs
+name: news_classifier_pipeline
+date: 2024-09-20
+tags: [ru, open_source, pipeline, onnx]
+task: Text Classification
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_classifier_pipeline` is a Russian model originally trained by MikhailRepkin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_classifier_pipeline_ru_5.5.0_3.0_1726870045582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_classifier_pipeline_ru_5.5.0_3.0_1726870045582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("news_classifier_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("news_classifier_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|news_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|666.6 MB|
+
+## References
+
+https://huggingface.co/MikhailRepkin/news_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-news_classifier_ru.md b/docs/_posts/ahmedlone127/2024-09-20-news_classifier_ru.md
new file mode 100644
index 00000000000000..34e9f4a477390a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-news_classifier_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian news_classifier BertForSequenceClassification from MikhailRepkin
+author: John Snow Labs
+name: news_classifier
+date: 2024-09-20
+tags: [ru, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_classifier` is a Russian model originally trained by MikhailRepkin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_classifier_ru_5.5.0_3.0_1726870014135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_classifier_ru_5.5.0_3.0_1726870014135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|news_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/MikhailRepkin/news_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_1e_4_en.md b/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_1e_4_en.md
new file mode 100644
index 00000000000000..82ddd84053ecb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_1e_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp2_base_1e_4 DistilBertForSequenceClassification from NathanJLee
+author: John Snow Labs
+name: nlp2_base_1e_4
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp2_base_1e_4` is a English model originally trained by NathanJLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp2_base_1e_4_en_5.5.0_3.0_1726840996249.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp2_base_1e_4_en_5.5.0_3.0_1726840996249.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp2_base_1e_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/NathanJLee/NLP2_Base_1e-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_1e_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_1e_4_pipeline_en.md
new file mode 100644
index 00000000000000..4230cfce3a2939
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_1e_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nlp2_base_1e_4_pipeline pipeline DistilBertForSequenceClassification from NathanJLee
+author: John Snow Labs
+name: nlp2_base_1e_4_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp2_base_1e_4_pipeline` is a English model originally trained by NathanJLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp2_base_1e_4_pipeline_en_5.5.0_3.0_1726841012862.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp2_base_1e_4_pipeline_en_5.5.0_3.0_1726841012862.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlp2_base_1e_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlp2_base_1e_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp2_base_1e_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/NathanJLee/NLP2_Base_1e-4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_5e_5_en.md b/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_5e_5_en.md
new file mode 100644
index 00000000000000..9d33383ecf674c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_5e_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp2_base_5e_5 DistilBertForSequenceClassification from VRT-2428211
+author: John Snow Labs
+name: nlp2_base_5e_5
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp2_base_5e_5` is a English model originally trained by VRT-2428211.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp2_base_5e_5_en_5.5.0_3.0_1726830326773.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp2_base_5e_5_en_5.5.0_3.0_1726830326773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp2_base_5e_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/VRT-2428211/NLP2_Base_5e-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_5e_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_5e_5_pipeline_en.md
new file mode 100644
index 00000000000000..c42c4c0ddc25bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_5e_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nlp2_base_5e_5_pipeline pipeline DistilBertForSequenceClassification from VRT-2428211
+author: John Snow Labs
+name: nlp2_base_5e_5_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp2_base_5e_5_pipeline` is a English model originally trained by VRT-2428211.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp2_base_5e_5_pipeline_en_5.5.0_3.0_1726830339462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp2_base_5e_5_pipeline_en_5.5.0_3.0_1726830339462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlp2_base_5e_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlp2_base_5e_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp2_base_5e_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/VRT-2428211/NLP2_Base_5e-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nlp_cw_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-nlp_cw_pipeline_en.md
new file mode 100644
index 00000000000000..fb82cba494b5c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nlp_cw_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nlp_cw_pipeline pipeline RoBertaForTokenClassification from venkateshtata
+author: John Snow Labs
+name: nlp_cw_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_cw_pipeline` is a English model originally trained by venkateshtata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_cw_pipeline_en_5.5.0_3.0_1726847654380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_cw_pipeline_en_5.5.0_3.0_1726847654380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlp_cw_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlp_cw_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_cw_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|425.8 MB|
+
+## References
+
+https://huggingface.co/venkateshtata/nlp_cw
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nlp_hf_workshop_farzanrahmani_en.md b/docs/_posts/ahmedlone127/2024-09-20-nlp_hf_workshop_farzanrahmani_en.md
new file mode 100644
index 00000000000000..6f198ccc7da225
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nlp_hf_workshop_farzanrahmani_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp_hf_workshop_farzanrahmani DistilBertForSequenceClassification from farzanrahmani
+author: John Snow Labs
+name: nlp_hf_workshop_farzanrahmani
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_hf_workshop_farzanrahmani` is a English model originally trained by farzanrahmani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_hf_workshop_farzanrahmani_en_5.5.0_3.0_1726861121852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_hf_workshop_farzanrahmani_en_5.5.0_3.0_1726861121852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_hf_workshop_farzanrahmani|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/farzanrahmani/NLP_HF_Workshop
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nlp_hf_workshop_farzanrahmani_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-nlp_hf_workshop_farzanrahmani_pipeline_en.md
new file mode 100644
index 00000000000000..2ac9123891ae5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nlp_hf_workshop_farzanrahmani_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nlp_hf_workshop_farzanrahmani_pipeline pipeline DistilBertForSequenceClassification from farzanrahmani
+author: John Snow Labs
+name: nlp_hf_workshop_farzanrahmani_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_hf_workshop_farzanrahmani_pipeline` is a English model originally trained by farzanrahmani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_hf_workshop_farzanrahmani_pipeline_en_5.5.0_3.0_1726861134679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_hf_workshop_farzanrahmani_pipeline_en_5.5.0_3.0_1726861134679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlp_hf_workshop_farzanrahmani_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlp_hf_workshop_farzanrahmani_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_hf_workshop_farzanrahmani_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/farzanrahmani/NLP_HF_Workshop
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nlp_model_en.md b/docs/_posts/ahmedlone127/2024-09-20-nlp_model_en.md
new file mode 100644
index 00000000000000..20ce2a9006949e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nlp_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp_model RoBertaForSequenceClassification from juniorencode
+author: John Snow Labs
+name: nlp_model
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_model` is a English model originally trained by juniorencode.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_model_en_5.5.0_3.0_1726850124287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_model_en_5.5.0_3.0_1726850124287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/juniorencode/nlp_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nlp_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-nlp_model_pipeline_en.md
new file mode 100644
index 00000000000000..27cc5e7cb9e4ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nlp_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nlp_model_pipeline pipeline RoBertaForSequenceClassification from juniorencode
+author: John Snow Labs
+name: nlp_model_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_model_pipeline` is a English model originally trained by juniorencode.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_model_pipeline_en_5.5.0_3.0_1726850143400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_model_pipeline_en_5.5.0_3.0_1726850143400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlp_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlp_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/juniorencode/nlp_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nlp_project_ajchang6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-nlp_project_ajchang6_pipeline_en.md
new file mode 100644
index 00000000000000..4c969eb378eb6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nlp_project_ajchang6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nlp_project_ajchang6_pipeline pipeline DistilBertForSequenceClassification from ajchang6
+author: John Snow Labs
+name: nlp_project_ajchang6_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_project_ajchang6_pipeline` is a English model originally trained by ajchang6.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_project_ajchang6_pipeline_en_5.5.0_3.0_1726832795119.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_project_ajchang6_pipeline_en_5.5.0_3.0_1726832795119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlp_project_ajchang6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlp_project_ajchang6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_project_ajchang6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ajchang6/nlp_project
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-notibertrecensioni_en.md b/docs/_posts/ahmedlone127/2024-09-20-notibertrecensioni_en.md
new file mode 100644
index 00000000000000..8867c88f7b9944
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-notibertrecensioni_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English notibertrecensioni RoBertaForSequenceClassification from GioReg
+author: John Snow Labs
+name: notibertrecensioni
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`notibertrecensioni` is a English model originally trained by GioReg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/notibertrecensioni_en_5.5.0_3.0_1726849766920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/notibertrecensioni_en_5.5.0_3.0_1726849766920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|notibertrecensioni|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|313.3 MB|
+
+## References
+
+https://huggingface.co/GioReg/notiBERTrecensioni
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-notibertrecensioni_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-notibertrecensioni_pipeline_en.md
new file mode 100644
index 00000000000000..663f4eb944ef19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-notibertrecensioni_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English notibertrecensioni_pipeline pipeline RoBertaForSequenceClassification from GioReg
+author: John Snow Labs
+name: notibertrecensioni_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`notibertrecensioni_pipeline` is a English model originally trained by GioReg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/notibertrecensioni_pipeline_en_5.5.0_3.0_1726849782639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/notibertrecensioni_pipeline_en_5.5.0_3.0_1726849782639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("notibertrecensioni_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("notibertrecensioni_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|notibertrecensioni_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|313.3 MB|
+
+## References
+
+https://huggingface.co/GioReg/notiBERTrecensioni
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ntuadlhw1_question_answering_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-ntuadlhw1_question_answering_pipeline_en.md
new file mode 100644
index 00000000000000..045f8792ee111c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ntuadlhw1_question_answering_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English ntuadlhw1_question_answering_pipeline pipeline BertForQuestionAnswering from weitung8
+author: John Snow Labs
+name: ntuadlhw1_question_answering_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ntuadlhw1_question_answering_pipeline` is a English model originally trained by weitung8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ntuadlhw1_question_answering_pipeline_en_5.5.0_3.0_1726834427974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ntuadlhw1_question_answering_pipeline_en_5.5.0_3.0_1726834427974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ntuadlhw1_question_answering_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ntuadlhw1_question_answering_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ntuadlhw1_question_answering_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/weitung8/ntuadlhw1-question-answering
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-openai_whisper_tiny_spanish_ecu911_pasobajo_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-20-openai_whisper_tiny_spanish_ecu911_pasobajo_pipeline_es.md
new file mode 100644
index 00000000000000..63a164c8cf24ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-openai_whisper_tiny_spanish_ecu911_pasobajo_pipeline_es.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Castilian, Spanish openai_whisper_tiny_spanish_ecu911_pasobajo_pipeline pipeline WhisperForCTC from DanielMarquez
+author: John Snow Labs
+name: openai_whisper_tiny_spanish_ecu911_pasobajo_pipeline
+date: 2024-09-20
+tags: [es, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`openai_whisper_tiny_spanish_ecu911_pasobajo_pipeline` is a Castilian, Spanish model originally trained by DanielMarquez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/openai_whisper_tiny_spanish_ecu911_pasobajo_pipeline_es_5.5.0_3.0_1726814121844.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/openai_whisper_tiny_spanish_ecu911_pasobajo_pipeline_es_5.5.0_3.0_1726814121844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("openai_whisper_tiny_spanish_ecu911_pasobajo_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("openai_whisper_tiny_spanish_ecu911_pasobajo_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|openai_whisper_tiny_spanish_ecu911_pasobajo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|379.7 MB|
+
+## References
+
+https://huggingface.co/DanielMarquez/openai-whisper-tiny-es_ecu911-PasoBajo
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-patient_doctor_text_classifier_eng_0523_en.md b/docs/_posts/ahmedlone127/2024-09-20-patient_doctor_text_classifier_eng_0523_en.md
new file mode 100644
index 00000000000000..65d72b093a2597
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-patient_doctor_text_classifier_eng_0523_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English patient_doctor_text_classifier_eng_0523 DistilBertForSequenceClassification from LukeGPT88
+author: John Snow Labs
+name: patient_doctor_text_classifier_eng_0523
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`patient_doctor_text_classifier_eng_0523` is a English model originally trained by LukeGPT88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/patient_doctor_text_classifier_eng_0523_en_5.5.0_3.0_1726861300171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/patient_doctor_text_classifier_eng_0523_en_5.5.0_3.0_1726861300171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|patient_doctor_text_classifier_eng_0523|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LukeGPT88/patient-doctor-text-classifier-eng-0523
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-patient_doctor_text_classifier_eng_0523_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-patient_doctor_text_classifier_eng_0523_pipeline_en.md
new file mode 100644
index 00000000000000..7bd717cd0b2e41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-patient_doctor_text_classifier_eng_0523_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English patient_doctor_text_classifier_eng_0523_pipeline pipeline DistilBertForSequenceClassification from LukeGPT88
+author: John Snow Labs
+name: patient_doctor_text_classifier_eng_0523_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`patient_doctor_text_classifier_eng_0523_pipeline` is a English model originally trained by LukeGPT88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/patient_doctor_text_classifier_eng_0523_pipeline_en_5.5.0_3.0_1726861311873.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/patient_doctor_text_classifier_eng_0523_pipeline_en_5.5.0_3.0_1726861311873.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("patient_doctor_text_classifier_eng_0523_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("patient_doctor_text_classifier_eng_0523_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|patient_doctor_text_classifier_eng_0523_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LukeGPT88/patient-doctor-text-classifier-eng-0523
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-personality_lm_en.md b/docs/_posts/ahmedlone127/2024-09-20-personality_lm_en.md
new file mode 100644
index 00000000000000..4917f063abb0c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-personality_lm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English personality_lm RoBertaForSequenceClassification from rong4ivy
+author: John Snow Labs
+name: personality_lm
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`personality_lm` is a English model originally trained by rong4ivy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/personality_lm_en_5.5.0_3.0_1726852347846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/personality_lm_en_5.5.0_3.0_1726852347846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|personality_lm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/rong4ivy/personality_LM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-personality_lm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-personality_lm_pipeline_en.md
new file mode 100644
index 00000000000000..934691c246ff73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-personality_lm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English personality_lm_pipeline pipeline RoBertaForSequenceClassification from rong4ivy
+author: John Snow Labs
+name: personality_lm_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`personality_lm_pipeline` is a English model originally trained by rong4ivy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/personality_lm_pipeline_en_5.5.0_3.0_1726852370067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/personality_lm_pipeline_en_5.5.0_3.0_1726852370067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("personality_lm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("personality_lm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|personality_lm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/rong4ivy/personality_LM
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-predict_perception_xlmr_cause_concept_en.md b/docs/_posts/ahmedlone127/2024-09-20-predict_perception_xlmr_cause_concept_en.md
new file mode 100644
index 00000000000000..1823b68e60bcc4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-predict_perception_xlmr_cause_concept_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English predict_perception_xlmr_cause_concept XlmRoBertaForSequenceClassification from responsibility-framing
+author: John Snow Labs
+name: predict_perception_xlmr_cause_concept
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`predict_perception_xlmr_cause_concept` is a English model originally trained by responsibility-framing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/predict_perception_xlmr_cause_concept_en_5.5.0_3.0_1726865929932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/predict_perception_xlmr_cause_concept_en_5.5.0_3.0_1726865929932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|predict_perception_xlmr_cause_concept|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|837.6 MB|
+
+## References
+
+https://huggingface.co/responsibility-framing/predict-perception-xlmr-cause-concept
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-predict_perception_xlmr_cause_concept_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-predict_perception_xlmr_cause_concept_pipeline_en.md
new file mode 100644
index 00000000000000..4f2728e5256cef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-predict_perception_xlmr_cause_concept_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English predict_perception_xlmr_cause_concept_pipeline pipeline XlmRoBertaForSequenceClassification from responsibility-framing
+author: John Snow Labs
+name: predict_perception_xlmr_cause_concept_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`predict_perception_xlmr_cause_concept_pipeline` is a English model originally trained by responsibility-framing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/predict_perception_xlmr_cause_concept_pipeline_en_5.5.0_3.0_1726865994382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/predict_perception_xlmr_cause_concept_pipeline_en_5.5.0_3.0_1726865994382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("predict_perception_xlmr_cause_concept_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("predict_perception_xlmr_cause_concept_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|predict_perception_xlmr_cause_concept_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|837.6 MB|
+
+## References
+
+https://huggingface.co/responsibility-framing/predict-perception-xlmr-cause-concept
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-promptclassifcation_en.md b/docs/_posts/ahmedlone127/2024-09-20-promptclassifcation_en.md
new file mode 100644
index 00000000000000..0574e8c500390d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-promptclassifcation_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English promptclassifcation RoBertaForSequenceClassification from rishika0704
+author: John Snow Labs
+name: promptclassifcation
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`promptclassifcation` is a English model originally trained by rishika0704.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/promptclassifcation_en_5.5.0_3.0_1726799028256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/promptclassifcation_en_5.5.0_3.0_1726799028256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ptcrawl_plus_legal_base_v1_7__checkpoint_last|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|296.3 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/ptcrawl_plus_legal_base_v1_7__checkpoint_last
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ptcrawl_plus_legal_base_v1_7__checkpoint_last_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-ptcrawl_plus_legal_base_v1_7__checkpoint_last_pipeline_en.md
new file mode 100644
index 00000000000000..93ff206fb42650
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ptcrawl_plus_legal_base_v1_7__checkpoint_last_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ptcrawl_plus_legal_base_v1_7__checkpoint_last_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: ptcrawl_plus_legal_base_v1_7__checkpoint_last_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ptcrawl_plus_legal_base_v1_7__checkpoint_last_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ptcrawl_plus_legal_base_v1_7__checkpoint_last_pipeline_en_5.5.0_3.0_1726857285774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ptcrawl_plus_legal_base_v1_7__checkpoint_last_pipeline_en_5.5.0_3.0_1726857285774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ptcrawl_plus_legal_base_v1_7__checkpoint_last_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ptcrawl_plus_legal_base_v1_7__checkpoint_last_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ptcrawl_plus_legal_base_v1_7__checkpoint_last_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|296.4 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/ptcrawl_plus_legal_base_v1_7__checkpoint_last
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-ptcrawl_plus_legal_large_v1_7__checkpoint_last_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-ptcrawl_plus_legal_large_v1_7__checkpoint_last_pipeline_en.md
new file mode 100644
index 00000000000000..107f30525648cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-ptcrawl_plus_legal_large_v1_7__checkpoint_last_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ptcrawl_plus_legal_large_v1_7__checkpoint_last_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: ptcrawl_plus_legal_large_v1_7__checkpoint_last_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ptcrawl_plus_legal_large_v1_7__checkpoint_last_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ptcrawl_plus_legal_large_v1_7__checkpoint_last_pipeline_en_5.5.0_3.0_1726858287309.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ptcrawl_plus_legal_large_v1_7__checkpoint_last_pipeline_en_5.5.0_3.0_1726858287309.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ptcrawl_plus_legal_large_v1_7__checkpoint_last_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ptcrawl_plus_legal_large_v1_7__checkpoint_last_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ptcrawl_plus_legal_large_v1_7__checkpoint_last_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|842.9 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/ptcrawl_plus_legal_large_v1_7__checkpoint_last
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-qatentbert_cpc_en.md b/docs/_posts/ahmedlone127/2024-09-20-qatentbert_cpc_en.md
new file mode 100644
index 00000000000000..d9938c07f37b5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-qatentbert_cpc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English qatentbert_cpc BertForSequenceClassification from ZoeYou
+author: John Snow Labs
+name: qatentbert_cpc
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qatentbert_cpc` is a English model originally trained by ZoeYou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qatentbert_cpc_en_5.5.0_3.0_1726797174844.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qatentbert_cpc_en_5.5.0_3.0_1726797174844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qatentbert_cpc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ZoeYou/qatentBert-cpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-question_classification_abhibeats95_en.md b/docs/_posts/ahmedlone127/2024-09-20-question_classification_abhibeats95_en.md
new file mode 100644
index 00000000000000..c1d2a48d9ab8f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-question_classification_abhibeats95_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English question_classification_abhibeats95 DistilBertForSequenceClassification from Abhibeats95
+author: John Snow Labs
+name: question_classification_abhibeats95
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`question_classification_abhibeats95` is a English model originally trained by Abhibeats95.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_classification_abhibeats95_en_5.5.0_3.0_1726830426105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_classification_abhibeats95_en_5.5.0_3.0_1726830426105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|question_classification_abhibeats95|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Abhibeats95/question_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-question_classification_abhibeats95_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-question_classification_abhibeats95_pipeline_en.md
new file mode 100644
index 00000000000000..a192af18500dbb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-question_classification_abhibeats95_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English question_classification_abhibeats95_pipeline pipeline DistilBertForSequenceClassification from Abhibeats95
+author: John Snow Labs
+name: question_classification_abhibeats95_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`question_classification_abhibeats95_pipeline` is a English model originally trained by Abhibeats95.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_classification_abhibeats95_pipeline_en_5.5.0_3.0_1726830439859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_classification_abhibeats95_pipeline_en_5.5.0_3.0_1726830439859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("question_classification_abhibeats95_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("question_classification_abhibeats95_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|question_classification_abhibeats95_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Abhibeats95/question_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-regression_roberta_2_en.md b/docs/_posts/ahmedlone127/2024-09-20-regression_roberta_2_en.md
new file mode 100644
index 00000000000000..6730542ddc4989
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-regression_roberta_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English regression_roberta_2 RoBertaForSequenceClassification from Svetlana0303
+author: John Snow Labs
+name: regression_roberta_2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`regression_roberta_2` is a English model originally trained by Svetlana0303.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/regression_roberta_2_en_5.5.0_3.0_1726804385247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/regression_roberta_2_en_5.5.0_3.0_1726804385247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|regression_roberta_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|420.3 MB|
+
+## References
+
+https://huggingface.co/Svetlana0303/Regression_roberta_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-results_cyh002_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-results_cyh002_pipeline_en.md
new file mode 100644
index 00000000000000..fd6984f1fa03d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-results_cyh002_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English results_cyh002_pipeline pipeline DistilBertForSequenceClassification from cyh002
+author: John Snow Labs
+name: results_cyh002_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_cyh002_pipeline` is a English model originally trained by cyh002.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_cyh002_pipeline_en_5.5.0_3.0_1726860862863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_cyh002_pipeline_en_5.5.0_3.0_1726860862863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("results_cyh002_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("results_cyh002_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_cyh002_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cyh002/results
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-rinna_roberta_qa_ar101_en.md b/docs/_posts/ahmedlone127/2024-09-20-rinna_roberta_qa_ar101_en.md
new file mode 100644
index 00000000000000..160d9d1cb9e7b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-rinna_roberta_qa_ar101_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English rinna_roberta_qa_ar101 BertForQuestionAnswering from Echiguerkh
+author: John Snow Labs
+name: rinna_roberta_qa_ar101
+date: 2024-09-20
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rinna_roberta_qa_ar101` is a English model originally trained by Echiguerkh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rinna_roberta_qa_ar101_en_5.5.0_3.0_1726808549466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rinna_roberta_qa_ar101_en_5.5.0_3.0_1726808549466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rinna_roberta_qa_ar101|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|504.3 MB|
+
+## References
+
+https://huggingface.co/Echiguerkh/rinna-roberta-qa-ar101
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_babe_1epoch_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_babe_1epoch_en.md
new file mode 100644
index 00000000000000..ac0a8cc08bbfd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_babe_1epoch_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_babe_1epoch RoBertaForSequenceClassification from jordankrishnayah
+author: John Snow Labs
+name: roberta_babe_1epoch
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_babe_1epoch` is a English model originally trained by jordankrishnayah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_babe_1epoch_en_5.5.0_3.0_1726804838853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_babe_1epoch_en_5.5.0_3.0_1726804838853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_babe_1epoch|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.5 MB|
+
+## References
+
+https://huggingface.co/jordankrishnayah/ROBERTA-BABE-1epoch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_babe_1epoch_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_babe_1epoch_pipeline_en.md
new file mode 100644
index 00000000000000..8f40de7de1dd5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_babe_1epoch_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_babe_1epoch_pipeline pipeline RoBertaForSequenceClassification from jordankrishnayah
+author: John Snow Labs
+name: roberta_babe_1epoch_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_babe_1epoch_pipeline` is a English model originally trained by jordankrishnayah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_babe_1epoch_pipeline_en_5.5.0_3.0_1726804876574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_babe_1epoch_pipeline_en_5.5.0_3.0_1726804876574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_babe_1epoch_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_babe_1epoch_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_babe_1epoch_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.5 MB|
+
+## References
+
+https://huggingface.co/jordankrishnayah/ROBERTA-BABE-1epoch
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bc2gm_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bc2gm_en.md
new file mode 100644
index 00000000000000..84958c28f7439a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bc2gm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_bc2gm RoBertaForTokenClassification from CheccoCando
+author: John Snow Labs
+name: roberta_base_bc2gm
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bc2gm` is a English model originally trained by CheccoCando.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bc2gm_en_5.5.0_3.0_1726862345492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bc2gm_en_5.5.0_3.0_1726862345492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bc2gm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|442.0 MB|
+
+## References
+
+https://huggingface.co/CheccoCando/roberta-base_bc2gm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_biomedical_clinical_spanish_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_biomedical_clinical_spanish_en.md
new file mode 100644
index 00000000000000..dc2ffbf92d3931
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_biomedical_clinical_spanish_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_biomedical_clinical_spanish RoBertaForTokenClassification from manucos
+author: John Snow Labs
+name: roberta_base_biomedical_clinical_spanish
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_biomedical_clinical_spanish` is a English model originally trained by manucos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_biomedical_clinical_spanish_en_5.5.0_3.0_1726853139866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_biomedical_clinical_spanish_en_5.5.0_3.0_1726853139866.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_biomedical_clinical_spanish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|422.8 MB|
+
+## References
+
+https://huggingface.co/manucos/roberta-base-biomedical-clinical-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_biomedical_clinical_spanish_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_biomedical_clinical_spanish_pipeline_en.md
new file mode 100644
index 00000000000000..3b8981a2b7e89b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_biomedical_clinical_spanish_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_biomedical_clinical_spanish_pipeline pipeline RoBertaForTokenClassification from manucos
+author: John Snow Labs
+name: roberta_base_biomedical_clinical_spanish_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_biomedical_clinical_spanish_pipeline` is a English model originally trained by manucos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_biomedical_clinical_spanish_pipeline_en_5.5.0_3.0_1726853174943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_biomedical_clinical_spanish_pipeline_en_5.5.0_3.0_1726853174943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_biomedical_clinical_spanish_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_biomedical_clinical_spanish_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_biomedical_clinical_spanish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|422.8 MB|
+
+## References
+
+https://huggingface.co/manucos/roberta-base-biomedical-clinical-es
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bne_finetuned_detests_wandb24_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bne_finetuned_detests_wandb24_en.md
new file mode 100644
index 00000000000000..a1f05f16b980ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bne_finetuned_detests_wandb24_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_detests_wandb24 RoBertaForSequenceClassification from Pablo94
+author: John Snow Labs
+name: roberta_base_bne_finetuned_detests_wandb24
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_detests_wandb24` is a English model originally trained by Pablo94.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_detests_wandb24_en_5.5.0_3.0_1726850479165.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_detests_wandb24_en_5.5.0_3.0_1726850479165.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_detests_wandb24|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|431.3 MB|
+
+## References
+
+https://huggingface.co/Pablo94/roberta-base-bne-finetuned-detests-wandb24
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bne_linear_ner_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bne_linear_ner_en.md
new file mode 100644
index 00000000000000..65ac2f0c4d16dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_bne_linear_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_bne_linear_ner RoBertaForTokenClassification from hlhdatscience
+author: John Snow Labs
+name: roberta_base_bne_linear_ner
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_linear_ner` is a English model originally trained by hlhdatscience.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_linear_ner_en_5.5.0_3.0_1726853337194.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_linear_ner_en_5.5.0_3.0_1726853337194.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_linear_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|458.9 MB|
+
+## References
+
+https://huggingface.co/hlhdatscience/roberta-base-bne-Linear-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_emotion_galactic0205_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_emotion_galactic0205_en.md
new file mode 100644
index 00000000000000..10117d9ba35983
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_emotion_galactic0205_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_emotion_galactic0205 RoBertaForSequenceClassification from galactic0205
+author: John Snow Labs
+name: roberta_base_emotion_galactic0205
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_emotion_galactic0205` is a English model originally trained by galactic0205.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_emotion_galactic0205_en_5.5.0_3.0_1726850521579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_emotion_galactic0205_en_5.5.0_3.0_1726850521579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_emotion_galactic0205|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|439.0 MB|
+
+## References
+
+https://huggingface.co/galactic0205/roberta-base-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_emotion_galactic0205_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_emotion_galactic0205_pipeline_en.md
new file mode 100644
index 00000000000000..d9cd4086217cab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_emotion_galactic0205_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_emotion_galactic0205_pipeline pipeline RoBertaForSequenceClassification from galactic0205
+author: John Snow Labs
+name: roberta_base_emotion_galactic0205_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_emotion_galactic0205_pipeline` is a English model originally trained by galactic0205.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_emotion_galactic0205_pipeline_en_5.5.0_3.0_1726850547616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_emotion_galactic0205_pipeline_en_5.5.0_3.0_1726850547616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_emotion_galactic0205_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_emotion_galactic0205_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_emotion_galactic0205_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|439.0 MB|
+
+## References
+
+https://huggingface.co/galactic0205/roberta-base-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_32_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_32_en.md
new file mode 100644
index 00000000000000..a462e2fce17190
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_32_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_epoch_32 RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_32
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_32` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_32_en_5.5.0_3.0_1726857396913.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_32_en_5.5.0_3.0_1726857396913.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_32|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_32_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_32_pipeline_en.md
new file mode 100644
index 00000000000000..b87cd865cf7df8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_32_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_32_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_32_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_32_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_32_pipeline_en_5.5.0_3.0_1726857481531.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_32_pipeline_en_5.5.0_3.0_1726857481531.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_32_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_32_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_32_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_32
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_69_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_69_en.md
new file mode 100644
index 00000000000000..74c8fdfa3d626c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_69_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_epoch_69 RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_69
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_69` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_69_en_5.5.0_3.0_1726793770331.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_69_en_5.5.0_3.0_1726793770331.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_69|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_69
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_69_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_69_pipeline_en.md
new file mode 100644
index 00000000000000..bd2d85db33a01b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_69_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_69_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_69_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_69_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_69_pipeline_en_5.5.0_3.0_1726793853622.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_69_pipeline_en_5.5.0_3.0_1726793853622.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_69_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_69_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_69_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_69
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_71_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_71_pipeline_en.md
new file mode 100644
index 00000000000000..dec16746f7b44a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_71_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_71_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_71_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_71_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_71_pipeline_en_5.5.0_3.0_1726796612564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_71_pipeline_en_5.5.0_3.0_1726796612564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_71_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_71_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_71_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_71
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_81_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_81_en.md
new file mode 100644
index 00000000000000..f2cf20e41f2ef6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_81_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_epoch_81 RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_81
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_81` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_81_en_5.5.0_3.0_1726857151195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_81_en_5.5.0_3.0_1726857151195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_81|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_81
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_81_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_81_pipeline_en.md
new file mode 100644
index 00000000000000..6895f846701797
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_epoch_81_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_81_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_81_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_81_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_81_pipeline_en_5.5.0_3.0_1726857236139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_81_pipeline_en_5.5.0_3.0_1726857236139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_81_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_81_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_81_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_81
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_finetuned_wallisian_whisper_7ep_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_finetuned_wallisian_whisper_7ep_pipeline_en.md
new file mode 100644
index 00000000000000..300e9f895ba6b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_finetuned_wallisian_whisper_7ep_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_wallisian_whisper_7ep_pipeline pipeline RoBertaEmbeddings from btamm12
+author: John Snow Labs
+name: roberta_base_finetuned_wallisian_whisper_7ep_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_wallisian_whisper_7ep_pipeline` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_wallisian_whisper_7ep_pipeline_en_5.5.0_3.0_1726796431050.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_wallisian_whisper_7ep_pipeline_en_5.5.0_3.0_1726796431050.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_wallisian_whisper_7ep_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_wallisian_whisper_7ep_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_wallisian_whisper_7ep_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/btamm12/roberta-base-finetuned-wls-whisper-7ep
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_hb_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_hb_classifier_en.md
new file mode 100644
index 00000000000000..2ff212d4b4dc36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_hb_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_hb_classifier RoBertaForSequenceClassification from Irsik
+author: John Snow Labs
+name: roberta_base_hb_classifier
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_hb_classifier` is a English model originally trained by Irsik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_hb_classifier_en_5.5.0_3.0_1726850586771.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_hb_classifier_en_5.5.0_3.0_1726850586771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_hb_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.5 MB|
+
+## References
+
+https://huggingface.co/Irsik/roberta-base-hb-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_hb_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_hb_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..57dc3676ea0338
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_hb_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_hb_classifier_pipeline pipeline RoBertaForSequenceClassification from Irsik
+author: John Snow Labs
+name: roberta_base_hb_classifier_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_hb_classifier_pipeline` is a English model originally trained by Irsik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_hb_classifier_pipeline_en_5.5.0_3.0_1726850614389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_hb_classifier_pipeline_en_5.5.0_3.0_1726850614389.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_hb_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_hb_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_hb_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|447.5 MB|
+
+## References
+
+https://huggingface.co/Irsik/roberta-base-hb-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_ner_demo_dolgorsureng_mn.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_ner_demo_dolgorsureng_mn.md
new file mode 100644
index 00000000000000..7f8e4898474d23
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_ner_demo_dolgorsureng_mn.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Mongolian roberta_base_ner_demo_dolgorsureng RoBertaForTokenClassification from Dolgorsureng
+author: John Snow Labs
+name: roberta_base_ner_demo_dolgorsureng
+date: 2024-09-20
+tags: [mn, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: mn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ner_demo_dolgorsureng` is a Mongolian model originally trained by Dolgorsureng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ner_demo_dolgorsureng_mn_5.5.0_3.0_1726847260202.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ner_demo_dolgorsureng_mn_5.5.0_3.0_1726847260202.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ner_demo_enhjino|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|mn|
+|Size:|465.7 MB|
+
+## References
+
+https://huggingface.co/enhjino/roberta-base-ner-demo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_ner_demo_enhjino_pipeline_mn.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_ner_demo_enhjino_pipeline_mn.md
new file mode 100644
index 00000000000000..ad78ca0ead3e1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_ner_demo_enhjino_pipeline_mn.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Mongolian roberta_base_ner_demo_enhjino_pipeline pipeline RoBertaForTokenClassification from enhjino
+author: John Snow Labs
+name: roberta_base_ner_demo_enhjino_pipeline
+date: 2024-09-20
+tags: [mn, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: mn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ner_demo_enhjino_pipeline` is a Mongolian model originally trained by enhjino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ner_demo_enhjino_pipeline_mn_5.5.0_3.0_1726853272438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ner_demo_enhjino_pipeline_mn_5.5.0_3.0_1726853272438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_ner_demo_enhjino_pipeline", lang = "mn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_ner_demo_enhjino_pipeline", lang = "mn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ner_demo_enhjino_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mn|
+|Size:|465.7 MB|
+
+## References
+
+https://huggingface.co/enhjino/roberta-base-ner-demo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_polyglotner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_polyglotner_pipeline_en.md
new file mode 100644
index 00000000000000..4a4b5fce722a22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_polyglotner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_polyglotner_pipeline pipeline RoBertaForTokenClassification from CheccoCando
+author: John Snow Labs
+name: roberta_base_polyglotner_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_polyglotner_pipeline` is a English model originally trained by CheccoCando.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_polyglotner_pipeline_en_5.5.0_3.0_1726862658860.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_polyglotner_pipeline_en_5.5.0_3.0_1726862658860.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_polyglotner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_polyglotner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_polyglotner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|449.2 MB|
+
+## References
+
+https://huggingface.co/CheccoCando/roberta-base_PolyglotNER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_base_reduced_upper_pattern_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_reduced_upper_pattern_pipeline_en.md
new file mode 100644
index 00000000000000..cfcf04247a9853
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_base_reduced_upper_pattern_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_reduced_upper_pattern_pipeline pipeline RoBertaForSequenceClassification from Cournane
+author: John Snow Labs
+name: roberta_base_reduced_upper_pattern_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_reduced_upper_pattern_pipeline` is a English model originally trained by Cournane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_reduced_upper_pattern_pipeline_en_5.5.0_3.0_1726805204737.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_reduced_upper_pattern_pipeline_en_5.5.0_3.0_1726805204737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_reduced_upper_pattern_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_reduced_upper_pattern_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_reduced_upper_pattern_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|427.2 MB|
+
+## References
+
+https://huggingface.co/Cournane/roberta-base-reduced-Upper_pattern
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_baseline_finetuned_atis_3pct_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_baseline_finetuned_atis_3pct_v2_pipeline_en.md
new file mode 100644
index 00000000000000..03601a9a181a67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_baseline_finetuned_atis_3pct_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_baseline_finetuned_atis_3pct_v2_pipeline pipeline RoBertaForSequenceClassification from benayas
+author: John Snow Labs
+name: roberta_baseline_finetuned_atis_3pct_v2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_baseline_finetuned_atis_3pct_v2_pipeline` is a English model originally trained by benayas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_baseline_finetuned_atis_3pct_v2_pipeline_en_5.5.0_3.0_1726851858107.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_baseline_finetuned_atis_3pct_v2_pipeline_en_5.5.0_3.0_1726851858107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_baseline_finetuned_atis_3pct_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_baseline_finetuned_atis_3pct_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_baseline_finetuned_atis_3pct_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|416.8 MB|
+
+## References
+
+https://huggingface.co/benayas/roberta-baseline-finetuned-atis_3pct_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_bert_10_good_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_bert_10_good_en.md
new file mode 100644
index 00000000000000..da1e7eaa7f0856
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_bert_10_good_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_bert_10_good RoBertaEmbeddings from ubaskota
+author: John Snow Labs
+name: roberta_bert_10_good
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_bert_10_good` is a English model originally trained by ubaskota.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_bert_10_good_en_5.5.0_3.0_1726857076155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_bert_10_good_en_5.5.0_3.0_1726857076155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_bert_10_good|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/ubaskota/roberta_BERT_10_good
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_bert_10_good_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_bert_10_good_pipeline_en.md
new file mode 100644
index 00000000000000..ebb70f00faabd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_bert_10_good_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_bert_10_good_pipeline pipeline RoBertaEmbeddings from ubaskota
+author: John Snow Labs
+name: roberta_bert_10_good_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_bert_10_good_pipeline` is a English model originally trained by ubaskota.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_bert_10_good_pipeline_en_5.5.0_3.0_1726857105973.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_bert_10_good_pipeline_en_5.5.0_3.0_1726857105973.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_bert_10_good_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_bert_10_good_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_bert_10_good_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/ubaskota/roberta_BERT_10_good
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_ic_pborchert_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_ic_pborchert_en.md
new file mode 100644
index 00000000000000..e2fd3af123d57d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_ic_pborchert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_ic_pborchert RoBertaEmbeddings from pborchert
+author: John Snow Labs
+name: roberta_ic_pborchert
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_ic_pborchert` is a English model originally trained by pborchert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_ic_pborchert_en_5.5.0_3.0_1726857453043.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_ic_pborchert_en_5.5.0_3.0_1726857453043.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_ic_pborchert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/pborchert/roberta-ic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_ic_pborchert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_ic_pborchert_pipeline_en.md
new file mode 100644
index 00000000000000..4b79f3e70ad7b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_ic_pborchert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_ic_pborchert_pipeline pipeline RoBertaEmbeddings from pborchert
+author: John Snow Labs
+name: roberta_ic_pborchert_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_ic_pborchert_pipeline` is a English model originally trained by pborchert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_ic_pborchert_pipeline_en_5.5.0_3.0_1726857475407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_ic_pborchert_pipeline_en_5.5.0_3.0_1726857475407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_ic_pborchert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_ic_pborchert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_ic_pborchert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/pborchert/roberta-ic
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_bne_capitel_ner_spanish_es.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_bne_capitel_ner_spanish_es.md
new file mode 100644
index 00000000000000..f27e855987556d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_bne_capitel_ner_spanish_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish roberta_large_bne_capitel_ner_spanish RoBertaForTokenClassification from Dulfary
+author: John Snow Labs
+name: roberta_large_bne_capitel_ner_spanish
+date: 2024-09-20
+tags: [es, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_bne_capitel_ner_spanish` is a Castilian, Spanish model originally trained by Dulfary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_bne_capitel_ner_spanish_es_5.5.0_3.0_1726862445897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_bne_capitel_ner_spanish_es_5.5.0_3.0_1726862445897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_bne_capitel_ner_spanish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Dulfary/roberta-large-bne-capitel-ner_spanish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_detect_dep_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_detect_dep_v3_pipeline_en.md
new file mode 100644
index 00000000000000..9a4dc293170d32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_detect_dep_v3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_detect_dep_v3_pipeline pipeline RoBertaForSequenceClassification from Trong-Nghia
+author: John Snow Labs
+name: roberta_large_detect_dep_v3_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_detect_dep_v3_pipeline` is a English model originally trained by Trong-Nghia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_detect_dep_v3_pipeline_en_5.5.0_3.0_1726852034037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_detect_dep_v3_pipeline_en_5.5.0_3.0_1726852034037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_detect_dep_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_detect_dep_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_detect_dep_v3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Trong-Nghia/roberta-large-detect-dep-v3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_finetuned_abbr_epoch18_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_finetuned_abbr_epoch18_pipeline_en.md
new file mode 100644
index 00000000000000..a8729febdaa89c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_finetuned_abbr_epoch18_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_finetuned_abbr_epoch18_pipeline pipeline RoBertaForTokenClassification from karsimkh
+author: John Snow Labs
+name: roberta_large_finetuned_abbr_epoch18_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_abbr_epoch18_pipeline` is a English model originally trained by karsimkh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_abbr_epoch18_pipeline_en_5.5.0_3.0_1726847490570.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_abbr_epoch18_pipeline_en_5.5.0_3.0_1726847490570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_finetuned_abbr_epoch18_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_finetuned_abbr_epoch18_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_abbr_epoch18_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/karsimkh/roberta-large-finetuned-abbr-Epoch18
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_finetuned_abbr_weightdecay0_1_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_finetuned_abbr_weightdecay0_1_en.md
new file mode 100644
index 00000000000000..8b75dea75a4e9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_finetuned_abbr_weightdecay0_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_finetuned_abbr_weightdecay0_1 RoBertaForTokenClassification from karsimkh
+author: John Snow Labs
+name: roberta_large_finetuned_abbr_weightdecay0_1
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_abbr_weightdecay0_1` is a English model originally trained by karsimkh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_abbr_weightdecay0_1_en_5.5.0_3.0_1726853558700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_abbr_weightdecay0_1_en_5.5.0_3.0_1726853558700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_abbr_weightdecay0_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/karsimkh/roberta-large-finetuned-abbr-WeightDecay0.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_finetuned_abbr_weightdecay0_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_finetuned_abbr_weightdecay0_1_pipeline_en.md
new file mode 100644
index 00000000000000..bc9661cc5c8ec6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_finetuned_abbr_weightdecay0_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_finetuned_abbr_weightdecay0_1_pipeline pipeline RoBertaForTokenClassification from karsimkh
+author: John Snow Labs
+name: roberta_large_finetuned_abbr_weightdecay0_1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_abbr_weightdecay0_1_pipeline` is a English model originally trained by karsimkh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_abbr_weightdecay0_1_pipeline_en_5.5.0_3.0_1726853627083.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_abbr_weightdecay0_1_pipeline_en_5.5.0_3.0_1726853627083.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_finetuned_abbr_weightdecay0_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_finetuned_abbr_weightdecay0_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_abbr_weightdecay0_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/karsimkh/roberta-large-finetuned-abbr-WeightDecay0.1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_finetuned_combined_ds_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_finetuned_combined_ds_pipeline_en.md
new file mode 100644
index 00000000000000..93c2347ee6b43c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_finetuned_combined_ds_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_finetuned_combined_ds_pipeline pipeline RoBertaForSequenceClassification from IIIT-L
+author: John Snow Labs
+name: roberta_large_finetuned_combined_ds_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_combined_ds_pipeline` is a English model originally trained by IIIT-L.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_combined_ds_pipeline_en_5.5.0_3.0_1726850825162.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_combined_ds_pipeline_en_5.5.0_3.0_1726850825162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_finetuned_combined_ds_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_finetuned_combined_ds_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_combined_ds_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/IIIT-L/roberta-large-finetuned-combined-DS
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_ncbi_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_ncbi_en.md
new file mode 100644
index 00000000000000..cf2002564f0bbb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_ncbi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_ncbi RoBertaForTokenClassification from CheccoCando
+author: John Snow Labs
+name: roberta_large_ncbi
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_ncbi` is a English model originally trained by CheccoCando.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_ncbi_en_5.5.0_3.0_1726862320259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_ncbi_en_5.5.0_3.0_1726862320259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_ncbi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/CheccoCando/roberta-large_ncbi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_ontonotes_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_ontonotes_en.md
new file mode 100644
index 00000000000000..7063fa5878cb7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_ontonotes_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_ontonotes RoBertaForTokenClassification from CheccoCando
+author: John Snow Labs
+name: roberta_large_ontonotes
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_ontonotes` is a English model originally trained by CheccoCando.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_ontonotes_en_5.5.0_3.0_1726862878309.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_ontonotes_en_5.5.0_3.0_1726862878309.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_ontonotes|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/CheccoCando/roberta-large_Ontonotes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_polyglotner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_polyglotner_pipeline_en.md
new file mode 100644
index 00000000000000..808c67d7fc7121
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_polyglotner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_polyglotner_pipeline pipeline RoBertaForTokenClassification from CheccoCando
+author: John Snow Labs
+name: roberta_large_polyglotner_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_polyglotner_pipeline` is a English model originally trained by CheccoCando.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_polyglotner_pipeline_en_5.5.0_3.0_1726862656273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_polyglotner_pipeline_en_5.5.0_3.0_1726862656273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_polyglotner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_polyglotner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_polyglotner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/CheccoCando/roberta-large_PolyglotNER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_unlabeled_labeled_gab_reddit_task_semeval2023_t10_270000sample_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_unlabeled_labeled_gab_reddit_task_semeval2023_t10_270000sample_en.md
new file mode 100644
index 00000000000000..660b7c07b634e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_unlabeled_labeled_gab_reddit_task_semeval2023_t10_270000sample_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_unlabeled_labeled_gab_reddit_task_semeval2023_t10_270000sample RoBertaEmbeddings from HPL
+author: John Snow Labs
+name: roberta_large_unlabeled_labeled_gab_reddit_task_semeval2023_t10_270000sample
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_unlabeled_labeled_gab_reddit_task_semeval2023_t10_270000sample` is a English model originally trained by HPL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_unlabeled_labeled_gab_reddit_task_semeval2023_t10_270000sample_en_5.5.0_3.0_1726857595167.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_unlabeled_labeled_gab_reddit_task_semeval2023_t10_270000sample_en_5.5.0_3.0_1726857595167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_unlabeled_labeled_gab_reddit_task_semeval2023_t10_270000sample|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/HPL/roberta-large-unlabeled-labeled-gab-reddit-task-semeval2023-t10-270000sample
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_medium_word_chinese_cluecorpussmall_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_medium_word_chinese_cluecorpussmall_pipeline_zh.md
new file mode 100644
index 00000000000000..c94582effa34b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_medium_word_chinese_cluecorpussmall_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese roberta_medium_word_chinese_cluecorpussmall_pipeline pipeline BertEmbeddings from uer
+author: John Snow Labs
+name: roberta_medium_word_chinese_cluecorpussmall_pipeline
+date: 2024-09-20
+tags: [zh, open_source, pipeline, onnx]
+task: Embeddings
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_medium_word_chinese_cluecorpussmall_pipeline` is a Chinese model originally trained by uer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_medium_word_chinese_cluecorpussmall_pipeline_zh_5.5.0_3.0_1726806326404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_medium_word_chinese_cluecorpussmall_pipeline_zh_5.5.0_3.0_1726806326404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_medium_word_chinese_cluecorpussmall_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_medium_word_chinese_cluecorpussmall_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_medium_word_chinese_cluecorpussmall_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|287.4 MB|
+
+## References
+
+https://huggingface.co/uer/roberta-medium-word-chinese-cluecorpussmall
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_ner_devanshrj_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_ner_devanshrj_pipeline_en.md
new file mode 100644
index 00000000000000..a0506d2c0f06fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_ner_devanshrj_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_ner_devanshrj_pipeline pipeline RoBertaForTokenClassification from devanshrj
+author: John Snow Labs
+name: roberta_ner_devanshrj_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_ner_devanshrj_pipeline` is a English model originally trained by devanshrj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_ner_devanshrj_pipeline_en_5.5.0_3.0_1726847651924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_ner_devanshrj_pipeline_en_5.5.0_3.0_1726847651924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_ner_devanshrj_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_ner_devanshrj_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_ner_devanshrj_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|428.2 MB|
+
+## References
+
+https://huggingface.co/devanshrj/roberta-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_on_movie_review_data_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_on_movie_review_data_en.md
new file mode 100644
index 00000000000000..658ae5a82adf6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_on_movie_review_data_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_on_movie_review_data RoBertaForSequenceClassification from allevelly
+author: John Snow Labs
+name: roberta_on_movie_review_data
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_on_movie_review_data` is a English model originally trained by allevelly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_on_movie_review_data_en_5.5.0_3.0_1726850273428.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_on_movie_review_data_en_5.5.0_3.0_1726850273428.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_on_movie_review_data|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|442.9 MB|
+
+## References
+
+https://huggingface.co/allevelly/roberta_on_Movie_Review_Data
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_on_movie_review_data_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_on_movie_review_data_pipeline_en.md
new file mode 100644
index 00000000000000..109eefd900562b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_on_movie_review_data_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_on_movie_review_data_pipeline pipeline RoBertaForSequenceClassification from allevelly
+author: John Snow Labs
+name: roberta_on_movie_review_data_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_on_movie_review_data_pipeline` is a English model originally trained by allevelly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_on_movie_review_data_pipeline_en_5.5.0_3.0_1726850304787.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_on_movie_review_data_pipeline_en_5.5.0_3.0_1726850304787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_on_movie_review_data_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_on_movie_review_data_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_on_movie_review_data_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|442.9 MB|
+
+## References
+
+https://huggingface.co/allevelly/roberta_on_Movie_Review_Data
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_retrained_russian_covid_papers_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_retrained_russian_covid_papers_en.md
new file mode 100644
index 00000000000000..7a946e14d4595c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_retrained_russian_covid_papers_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_retrained_russian_covid_papers RoBertaEmbeddings from Daryaflp
+author: John Snow Labs
+name: roberta_retrained_russian_covid_papers
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_retrained_russian_covid_papers` is a English model originally trained by Daryaflp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_retrained_russian_covid_papers_en_5.5.0_3.0_1726796737593.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_retrained_russian_covid_papers_en_5.5.0_3.0_1726796737593.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_retrained_russian_covid_papers|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|463.9 MB|
+
+## References
+
+https://huggingface.co/Daryaflp/roberta-retrained_ru_covid_papers
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_tagalog_base_ft_udpos213_japanese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_tagalog_base_ft_udpos213_japanese_pipeline_en.md
new file mode 100644
index 00000000000000..de2f5042610ae3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_tagalog_base_ft_udpos213_japanese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_tagalog_base_ft_udpos213_japanese_pipeline pipeline RoBertaForTokenClassification from iceman2434
+author: John Snow Labs
+name: roberta_tagalog_base_ft_udpos213_japanese_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tagalog_base_ft_udpos213_japanese_pipeline` is a English model originally trained by iceman2434.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_japanese_pipeline_en_5.5.0_3.0_1726862159845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_japanese_pipeline_en_5.5.0_3.0_1726862159845.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_tagalog_base_ft_udpos213_japanese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_tagalog_base_ft_udpos213_japanese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tagalog_base_ft_udpos213_japanese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/iceman2434/roberta-tagalog-base-ft-udpos213-ja
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_tagalog_base_ft_udpos213_manx_pipeline_tl.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_tagalog_base_ft_udpos213_manx_pipeline_tl.md
new file mode 100644
index 00000000000000..840b4892a85e05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_tagalog_base_ft_udpos213_manx_pipeline_tl.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Tagalog roberta_tagalog_base_ft_udpos213_manx_pipeline pipeline RoBertaForTokenClassification from iceman2434
+author: John Snow Labs
+name: roberta_tagalog_base_ft_udpos213_manx_pipeline
+date: 2024-09-20
+tags: [tl, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: tl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tagalog_base_ft_udpos213_manx_pipeline` is a Tagalog model originally trained by iceman2434.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_manx_pipeline_tl_5.5.0_3.0_1726847021470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_manx_pipeline_tl_5.5.0_3.0_1726847021470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_tagalog_base_ft_udpos213_manx_pipeline", lang = "tl")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_tagalog_base_ft_udpos213_manx_pipeline", lang = "tl")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tagalog_base_ft_udpos213_manx_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tl|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/iceman2434/roberta-tagalog-base-ft-udpos213-gv
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_tagalog_base_ft_udpos213_top3lang_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_tagalog_base_ft_udpos213_top3lang_en.md
new file mode 100644
index 00000000000000..6d420d20d713b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_tagalog_base_ft_udpos213_top3lang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_tagalog_base_ft_udpos213_top3lang RoBertaForTokenClassification from katrinatan
+author: John Snow Labs
+name: roberta_tagalog_base_ft_udpos213_top3lang
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tagalog_base_ft_udpos213_top3lang` is a English model originally trained by katrinatan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_top3lang_en_5.5.0_3.0_1726853498989.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_top3lang_en_5.5.0_3.0_1726853498989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tagalog_base_ft_udpos213_top3lang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/katrinatan/roberta-tagalog-base-ft-udpos213-top3lang
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_tagalog_base_ft_udpos213_top3lang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_tagalog_base_ft_udpos213_top3lang_pipeline_en.md
new file mode 100644
index 00000000000000..e2fed027f83062
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_tagalog_base_ft_udpos213_top3lang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_tagalog_base_ft_udpos213_top3lang_pipeline pipeline RoBertaForTokenClassification from katrinatan
+author: John Snow Labs
+name: roberta_tagalog_base_ft_udpos213_top3lang_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tagalog_base_ft_udpos213_top3lang_pipeline` is a English model originally trained by katrinatan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_top3lang_pipeline_en_5.5.0_3.0_1726853518338.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_top3lang_pipeline_en_5.5.0_3.0_1726853518338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_tagalog_base_ft_udpos213_top3lang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_tagalog_base_ft_udpos213_top3lang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tagalog_base_ft_udpos213_top3lang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/katrinatan/roberta-tagalog-base-ft-udpos213-top3lang
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_topic_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_topic_en.md
new file mode 100644
index 00000000000000..53123d607c433d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_topic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_topic RoBertaForSequenceClassification from pawlo2013
+author: John Snow Labs
+name: roberta_topic
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_topic` is a English model originally trained by pawlo2013.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_topic_en_5.5.0_3.0_1726851699050.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_topic_en_5.5.0_3.0_1726851699050.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_topic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.6 MB|
+
+## References
+
+https://huggingface.co/pawlo2013/roberta_topic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_topic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_topic_pipeline_en.md
new file mode 100644
index 00000000000000..84ad65b2abe605
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_topic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_topic_pipeline pipeline RoBertaForSequenceClassification from pawlo2013
+author: John Snow Labs
+name: roberta_topic_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_topic_pipeline` is a English model originally trained by pawlo2013.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_topic_pipeline_en_5.5.0_3.0_1726851722277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_topic_pipeline_en_5.5.0_3.0_1726851722277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_topic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_topic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_topic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.6 MB|
+
+## References
+
+https://huggingface.co/pawlo2013/roberta_topic
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-robertalex_mlm_armas_inga_estrella_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-robertalex_mlm_armas_inga_estrella_pipeline_en.md
new file mode 100644
index 00000000000000..fbd61caf6434f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-robertalex_mlm_armas_inga_estrella_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English robertalex_mlm_armas_inga_estrella_pipeline pipeline RoBertaEmbeddings from JFernandoGRE
+author: John Snow Labs
+name: robertalex_mlm_armas_inga_estrella_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robertalex_mlm_armas_inga_estrella_pipeline` is a English model originally trained by JFernandoGRE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertalex_mlm_armas_inga_estrella_pipeline_en_5.5.0_3.0_1726857614791.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertalex_mlm_armas_inga_estrella_pipeline_en_5.5.0_3.0_1726857614791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("robertalex_mlm_armas_inga_estrella_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("robertalex_mlm_armas_inga_estrella_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robertalex_mlm_armas_inga_estrella_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/JFernandoGRE/RoBERTalex_mlm_ARMAS_INGA_ESTRELLA
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-rulebert_v0_5_k0_it.md b/docs/_posts/ahmedlone127/2024-09-20-rulebert_v0_5_k0_it.md
new file mode 100644
index 00000000000000..9600f6114dde77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-rulebert_v0_5_k0_it.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Italian rulebert_v0_5_k0 XlmRoBertaForSequenceClassification from ribesstefano
+author: John Snow Labs
+name: rulebert_v0_5_k0
+date: 2024-09-20
+tags: [it, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rulebert_v0_5_k0` is a Italian model originally trained by ribesstefano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rulebert_v0_5_k0_it_5.5.0_3.0_1726845885713.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rulebert_v0_5_k0_it_5.5.0_3.0_1726845885713.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rulebert_v0_5_k0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|870.4 MB|
+
+## References
+
+https://huggingface.co/ribesstefano/RuleBert-v0.5-k0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-rulebert_v0_5_k0_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-20-rulebert_v0_5_k0_pipeline_it.md
new file mode 100644
index 00000000000000..0cda18b8fdf9f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-rulebert_v0_5_k0_pipeline_it.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Italian rulebert_v0_5_k0_pipeline pipeline XlmRoBertaForSequenceClassification from ribesstefano
+author: John Snow Labs
+name: rulebert_v0_5_k0_pipeline
+date: 2024-09-20
+tags: [it, open_source, pipeline, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rulebert_v0_5_k0_pipeline` is a Italian model originally trained by ribesstefano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rulebert_v0_5_k0_pipeline_it_5.5.0_3.0_1726845990061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rulebert_v0_5_k0_pipeline_it_5.5.0_3.0_1726845990061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rulebert_v0_5_k0_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rulebert_v0_5_k0_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rulebert_v0_5_k0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|870.5 MB|
+
+## References
+
+https://huggingface.co/ribesstefano/RuleBert-v0.5-k0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sarcasm_detection_bert_base_uncased_sayula_popoluca_en.md b/docs/_posts/ahmedlone127/2024-09-20-sarcasm_detection_bert_base_uncased_sayula_popoluca_en.md
new file mode 100644
index 00000000000000..c2e21e3d990965
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sarcasm_detection_bert_base_uncased_sayula_popoluca_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sarcasm_detection_bert_base_uncased_sayula_popoluca BertForSequenceClassification from jkhan447
+author: John Snow Labs
+name: sarcasm_detection_bert_base_uncased_sayula_popoluca
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sarcasm_detection_bert_base_uncased_sayula_popoluca` is a English model originally trained by jkhan447.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sarcasm_detection_bert_base_uncased_sayula_popoluca_en_5.5.0_3.0_1726860135168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sarcasm_detection_bert_base_uncased_sayula_popoluca_en_5.5.0_3.0_1726860135168.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sarcasm_detection_bert_base_uncased_sayula_popoluca|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jkhan447/sarcasm-detection-Bert-base-uncased-POS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_pipeline_en.md
new file mode 100644
index 00000000000000..c687b8c0505f71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_pipeline pipeline XlmRoBertaForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_pipeline` is a English model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_pipeline_en_5.5.0_3.0_1726799920060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_pipeline_en_5.5.0_3.0_1726799920060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1111_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|884.3 MB|
+
+## References
+
+https://huggingface.co/haryoaw/scenario-NON-KD-SCR-D2_data-AmazonScience_massive_all_1_1111
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sead_l_6_h_256_a_8_qqp_en.md b/docs/_posts/ahmedlone127/2024-09-20-sead_l_6_h_256_a_8_qqp_en.md
new file mode 100644
index 00000000000000..fa231a2bf20a62
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sead_l_6_h_256_a_8_qqp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sead_l_6_h_256_a_8_qqp BertForSequenceClassification from C5i
+author: John Snow Labs
+name: sead_l_6_h_256_a_8_qqp
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sead_l_6_h_256_a_8_qqp` is a English model originally trained by C5i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_qqp_en_5.5.0_3.0_1726803479431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_qqp_en_5.5.0_3.0_1726803479431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sead_l_6_h_256_a_8_qqp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|47.4 MB|
+
+## References
+
+https://huggingface.co/C5i/SEAD-L-6_H-256_A-8-qqp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sead_l_6_h_256_a_8_qqp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sead_l_6_h_256_a_8_qqp_pipeline_en.md
new file mode 100644
index 00000000000000..39247d97906041
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sead_l_6_h_256_a_8_qqp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sead_l_6_h_256_a_8_qqp_pipeline pipeline BertForSequenceClassification from C5i
+author: John Snow Labs
+name: sead_l_6_h_256_a_8_qqp_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sead_l_6_h_256_a_8_qqp_pipeline` is a English model originally trained by C5i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_qqp_pipeline_en_5.5.0_3.0_1726803482245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_qqp_pipeline_en_5.5.0_3.0_1726803482245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sead_l_6_h_256_a_8_qqp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sead_l_6_h_256_a_8_qqp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sead_l_6_h_256_a_8_qqp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|47.4 MB|
+
+## References
+
+https://huggingface.co/C5i/SEAD-L-6_H-256_A-8-qqp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_artificial_languages_des_bert_large_cased_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_artificial_languages_des_bert_large_cased_en.md
new file mode 100644
index 00000000000000..f6813b909a4f20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_artificial_languages_des_bert_large_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_artificial_languages_des_bert_large_cased BertSentenceEmbeddings from bencyc1129
+author: John Snow Labs
+name: sent_artificial_languages_des_bert_large_cased
+date: 2024-09-20
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_artificial_languages_des_bert_large_cased` is a English model originally trained by bencyc1129.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_artificial_languages_des_bert_large_cased_en_5.5.0_3.0_1726867412998.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_artificial_languages_des_bert_large_cased_en_5.5.0_3.0_1726867412998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_artificial_languages_des_bert_large_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/bencyc1129/art-des-bert-large-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_artificial_languages_des_bert_large_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_artificial_languages_des_bert_large_cased_pipeline_en.md
new file mode 100644
index 00000000000000..5f967be85e242f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_artificial_languages_des_bert_large_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_artificial_languages_des_bert_large_cased_pipeline pipeline BertSentenceEmbeddings from bencyc1129
+author: John Snow Labs
+name: sent_artificial_languages_des_bert_large_cased_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_artificial_languages_des_bert_large_cased_pipeline` is a English model originally trained by bencyc1129.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_artificial_languages_des_bert_large_cased_pipeline_en_5.5.0_3.0_1726867469322.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_artificial_languages_des_bert_large_cased_pipeline_en_5.5.0_3.0_1726867469322.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_artificial_languages_des_bert_large_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_artificial_languages_des_bert_large_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_artificial_languages_des_bert_large_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/bencyc1129/art-des-bert-large-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_bookcorpus_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_bookcorpus_pipeline_en.md
new file mode 100644
index 00000000000000..ff250c36e3b4af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_bookcorpus_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_bookcorpus_pipeline pipeline BertSentenceEmbeddings from AiresPucrs
+author: John Snow Labs
+name: sent_bert_base_bookcorpus_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_bookcorpus_pipeline` is a English model originally trained by AiresPucrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_bookcorpus_pipeline_en_5.5.0_3.0_1726868327591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_bookcorpus_pipeline_en_5.5.0_3.0_1726868327591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_bookcorpus_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_bookcorpus_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_bookcorpus_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/AiresPucrs/bert-base-bookcorpus
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_embedding_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_embedding_pipeline_en.md
new file mode 100644
index 00000000000000..78d55ae950e3d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_embedding_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_embedding_pipeline pipeline BertSentenceEmbeddings from CH3COOK
+author: John Snow Labs
+name: sent_bert_base_embedding_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_embedding_pipeline` is a English model originally trained by CH3COOK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_embedding_pipeline_en_5.5.0_3.0_1726868149361.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_embedding_pipeline_en_5.5.0_3.0_1726868149361.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_embedding_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_embedding_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_embedding_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.5 MB|
+
+## References
+
+https://huggingface.co/CH3COOK/bert-base-embedding
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_english_russian_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_english_russian_cased_pipeline_en.md
new file mode 100644
index 00000000000000..6e25f6a91d54f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_english_russian_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_russian_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_russian_cased_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_russian_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_russian_cased_pipeline_en_5.5.0_3.0_1726867249705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_russian_cased_pipeline_en_5.5.0_3.0_1726867249705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_russian_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_russian_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_russian_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|428.8 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-ru-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_swedish_cased_alpha_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_swedish_cased_alpha_en.md
new file mode 100644
index 00000000000000..ecb8c70df43d50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_swedish_cased_alpha_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_swedish_cased_alpha BertSentenceEmbeddings from KBLab
+author: John Snow Labs
+name: sent_bert_base_swedish_cased_alpha
+date: 2024-09-20
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_swedish_cased_alpha` is a English model originally trained by KBLab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_swedish_cased_alpha_en_5.5.0_3.0_1726868118921.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_swedish_cased_alpha_en_5.5.0_3.0_1726868118921.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_swedish_cased_alpha|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|464.2 MB|
+
+## References
+
+https://huggingface.co/KBLab/bert-base-swedish-cased-alpha
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_swedish_cased_alpha_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_swedish_cased_alpha_pipeline_en.md
new file mode 100644
index 00000000000000..1c745291490bf4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_swedish_cased_alpha_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_swedish_cased_alpha_pipeline pipeline BertSentenceEmbeddings from KBLab
+author: John Snow Labs
+name: sent_bert_base_swedish_cased_alpha_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_swedish_cased_alpha_pipeline` is a English model originally trained by KBLab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_swedish_cased_alpha_pipeline_en_5.5.0_3.0_1726868145830.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_swedish_cased_alpha_pipeline_en_5.5.0_3.0_1726868145830.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_swedish_cased_alpha_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_swedish_cased_alpha_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_swedish_cased_alpha_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.8 MB|
+
+## References
+
+https://huggingface.co/KBLab/bert-base-swedish-cased-alpha
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_git_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_git_pipeline_zh.md
new file mode 100644
index 00000000000000..38836927a3445a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_git_pipeline_zh.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Chinese sent_bert_base_uncased_git_pipeline pipeline BertSentenceEmbeddings from littlebird13
+author: John Snow Labs
+name: sent_bert_base_uncased_git_pipeline
+date: 2024-09-20
+tags: [zh, open_source, pipeline, onnx]
+task: Embeddings
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_git_pipeline` is a Chinese model originally trained by littlebird13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_git_pipeline_zh_5.5.0_3.0_1726867246871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_git_pipeline_zh_5.5.0_3.0_1726867246871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_git_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_git_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_git_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/littlebird13/bert-base-uncased-git
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_phnghiapro_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_phnghiapro_en.md
new file mode 100644
index 00000000000000..0e7d504da2e5cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_phnghiapro_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_phnghiapro BertSentenceEmbeddings from phnghiapro
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_phnghiapro
+date: 2024-09-20
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_phnghiapro` is a English model originally trained by phnghiapro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_phnghiapro_en_5.5.0_3.0_1726814861960.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_phnghiapro_en_5.5.0_3.0_1726814861960.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_phnghiapro|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/phnghiapro/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_susnato_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_susnato_en.md
new file mode 100644
index 00000000000000..25e3eda4ad86d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_susnato_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_susnato BertSentenceEmbeddings from susnato
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_susnato
+date: 2024-09-20
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_susnato` is a English model originally trained by susnato.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_susnato_en_5.5.0_3.0_1726868015750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_susnato_en_5.5.0_3.0_1726868015750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_susnato|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/susnato/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_susnato_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_susnato_pipeline_en.md
new file mode 100644
index 00000000000000..d44c3127fec1d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_susnato_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_susnato_pipeline pipeline BertSentenceEmbeddings from susnato
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_susnato_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_susnato_pipeline` is a English model originally trained by susnato.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_susnato_pipeline_en_5.5.0_3.0_1726868035654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_susnato_pipeline_en_5.5.0_3.0_1726868035654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_issues_128_susnato_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_issues_128_susnato_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_susnato_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/susnato/bert-base-uncased-issues-128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_takaiwai_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_takaiwai_en.md
new file mode 100644
index 00000000000000..a24714e49ced94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_takaiwai_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_takaiwai BertSentenceEmbeddings from takaiwai
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_takaiwai
+date: 2024-09-20
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_takaiwai` is a English model originally trained by takaiwai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_takaiwai_en_5.5.0_3.0_1726801358089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_takaiwai_en_5.5.0_3.0_1726801358089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_takaiwai|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/takaiwai/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_takaiwai_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_takaiwai_pipeline_en.md
new file mode 100644
index 00000000000000..803ae257916843
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_issues_128_takaiwai_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_takaiwai_pipeline pipeline BertSentenceEmbeddings from takaiwai
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_takaiwai_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_takaiwai_pipeline` is a English model originally trained by takaiwai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_takaiwai_pipeline_en_5.5.0_3.0_1726801376234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_takaiwai_pipeline_en_5.5.0_3.0_1726801376234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_issues_128_takaiwai_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_issues_128_takaiwai_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_takaiwai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/takaiwai/bert-base-uncased-issues-128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_sparse_85_unstructured_pruneofa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_sparse_85_unstructured_pruneofa_pipeline_en.md
new file mode 100644
index 00000000000000..0ca6a8ad1e0ae4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_base_uncased_sparse_85_unstructured_pruneofa_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_sparse_85_unstructured_pruneofa_pipeline pipeline BertSentenceEmbeddings from Intel
+author: John Snow Labs
+name: sent_bert_base_uncased_sparse_85_unstructured_pruneofa_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_sparse_85_unstructured_pruneofa_pipeline` is a English model originally trained by Intel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_sparse_85_unstructured_pruneofa_pipeline_en_5.5.0_3.0_1726815113148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_sparse_85_unstructured_pruneofa_pipeline_en_5.5.0_3.0_1726815113148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_sparse_85_unstructured_pruneofa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_sparse_85_unstructured_pruneofa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_sparse_85_unstructured_pruneofa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|176.2 MB|
+
+## References
+
+https://huggingface.co/Intel/bert-base-uncased-sparse-85-unstructured-pruneofa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_gb_2021_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_gb_2021_en.md
new file mode 100644
index 00000000000000..c46b62a8f2ffd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_gb_2021_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_gb_2021 BertSentenceEmbeddings from mossaic-candle
+author: John Snow Labs
+name: sent_bert_gb_2021
+date: 2024-09-20
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_gb_2021` is a English model originally trained by mossaic-candle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_gb_2021_en_5.5.0_3.0_1726854450196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_gb_2021_en_5.5.0_3.0_1726854450196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_gb_2021|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|258.6 MB|
+
+## References
+
+https://huggingface.co/mossaic-candle/bert-gb-2021
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_gb_2021_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_gb_2021_pipeline_en.md
new file mode 100644
index 00000000000000..0e976494925faa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_gb_2021_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_gb_2021_pipeline pipeline BertSentenceEmbeddings from mossaic-candle
+author: John Snow Labs
+name: sent_bert_gb_2021_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_gb_2021_pipeline` is a English model originally trained by mossaic-candle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_gb_2021_pipeline_en_5.5.0_3.0_1726854523699.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_gb_2021_pipeline_en_5.5.0_3.0_1726854523699.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_gb_2021_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_gb_2021_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_gb_2021_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|259.2 MB|
+
+## References
+
+https://huggingface.co/mossaic-candle/bert-gb-2021
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_patent_reference_extraction_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_patent_reference_extraction_en.md
new file mode 100644
index 00000000000000..525f2d7b542909
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_patent_reference_extraction_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_patent_reference_extraction BertSentenceEmbeddings from kaesve
+author: John Snow Labs
+name: sent_bert_patent_reference_extraction
+date: 2024-09-20
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_patent_reference_extraction` is a English model originally trained by kaesve.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_patent_reference_extraction_en_5.5.0_3.0_1726868269687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_patent_reference_extraction_en_5.5.0_3.0_1726868269687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_patent_reference_extraction|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/kaesve/BERT_patent_reference_extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_bert_patent_reference_extraction_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_patent_reference_extraction_pipeline_en.md
new file mode 100644
index 00000000000000..fcbe7bf1cac0ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_bert_patent_reference_extraction_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_patent_reference_extraction_pipeline pipeline BertSentenceEmbeddings from kaesve
+author: John Snow Labs
+name: sent_bert_patent_reference_extraction_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_patent_reference_extraction_pipeline` is a English model originally trained by kaesve.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_patent_reference_extraction_pipeline_en_5.5.0_3.0_1726868289713.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_patent_reference_extraction_pipeline_en_5.5.0_3.0_1726868289713.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_patent_reference_extraction_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_patent_reference_extraction_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_patent_reference_extraction_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.2 MB|
+
+## References
+
+https://huggingface.co/kaesve/BERT_patent_reference_extraction
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_distilbertu_base_cased_0_5_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_distilbertu_base_cased_0_5_en.md
new file mode 100644
index 00000000000000..ffcb06a3c6a193
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_distilbertu_base_cased_0_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_distilbertu_base_cased_0_5 BertSentenceEmbeddings from amitness
+author: John Snow Labs
+name: sent_distilbertu_base_cased_0_5
+date: 2024-09-20
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_distilbertu_base_cased_0_5` is a English model originally trained by amitness.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_distilbertu_base_cased_0_5_en_5.5.0_3.0_1726867942280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_distilbertu_base_cased_0_5_en_5.5.0_3.0_1726867942280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_distilbertu_base_cased_0_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|469.9 MB|
+
+## References
+
+https://huggingface.co/amitness/distilbertu-base-cased-0.5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_distilbertu_base_cased_0_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_distilbertu_base_cased_0_5_pipeline_en.md
new file mode 100644
index 00000000000000..7c07dfc368d91d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_distilbertu_base_cased_0_5_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_distilbertu_base_cased_0_5_pipeline pipeline BertSentenceEmbeddings from amitness
+author: John Snow Labs
+name: sent_distilbertu_base_cased_0_5_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_distilbertu_base_cased_0_5_pipeline` is a English model originally trained by amitness.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_distilbertu_base_cased_0_5_pipeline_en_5.5.0_3.0_1726867965085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_distilbertu_base_cased_0_5_pipeline_en_5.5.0_3.0_1726867965085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_distilbertu_base_cased_0_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_distilbertu_base_cased_0_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_distilbertu_base_cased_0_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|470.5 MB|
+
+## References
+
+https://huggingface.co/amitness/distilbertu-base-cased-0.5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_distilbertu_base_cased_1_0_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_distilbertu_base_cased_1_0_en.md
new file mode 100644
index 00000000000000..3614e612e892ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_distilbertu_base_cased_1_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_distilbertu_base_cased_1_0 BertSentenceEmbeddings from amitness
+author: John Snow Labs
+name: sent_distilbertu_base_cased_1_0
+date: 2024-09-20
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_distilbertu_base_cased_1_0` is a English model originally trained by amitness.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_distilbertu_base_cased_1_0_en_5.5.0_3.0_1726868118645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_distilbertu_base_cased_1_0_en_5.5.0_3.0_1726868118645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_distilbertu_base_cased_1_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|470.4 MB|
+
+## References
+
+https://huggingface.co/amitness/distilbertu-base-cased-1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_distilbertu_base_cased_1_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sent_distilbertu_base_cased_1_0_pipeline_en.md
new file mode 100644
index 00000000000000..95d8f0535e38ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_distilbertu_base_cased_1_0_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_distilbertu_base_cased_1_0_pipeline pipeline BertSentenceEmbeddings from amitness
+author: John Snow Labs
+name: sent_distilbertu_base_cased_1_0_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_distilbertu_base_cased_1_0_pipeline` is a English model originally trained by amitness.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_distilbertu_base_cased_1_0_pipeline_en_5.5.0_3.0_1726868146022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_distilbertu_base_cased_1_0_pipeline_en_5.5.0_3.0_1726868146022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_distilbertu_base_cased_1_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_distilbertu_base_cased_1_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_distilbertu_base_cased_1_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|470.9 MB|
+
+## References
+
+https://huggingface.co/amitness/distilbertu-base-cased-1.0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sent_finest_bert_fi.md b/docs/_posts/ahmedlone127/2024-09-20-sent_finest_bert_fi.md
new file mode 100644
index 00000000000000..69094a702a1e50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sent_finest_bert_fi.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Finnish sent_finest_bert BertSentenceEmbeddings from EMBEDDIA
+author: John Snow Labs
+name: sent_finest_bert
+date: 2024-09-20
+tags: [fi, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: fi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_finest_bert` is a Finnish model originally trained by EMBEDDIA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_finest_bert_fi_5.5.0_3.0_1726815227913.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_finest_bert_fi_5.5.0_3.0_1726815227913.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_wobert_chinese_plus|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|464.5 MB|
+
+## References
+
+https://huggingface.co/qinluo/wobert-chinese-plus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_finalmodel_en.md b/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_finalmodel_en.md
new file mode 100644
index 00000000000000..f458afbfe31ae7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_finalmodel_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_analysis_finalmodel DistilBertForSequenceClassification from OmidAghili
+author: John Snow Labs
+name: sentiment_analysis_finalmodel
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_finalmodel` is a English model originally trained by OmidAghili.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_finalmodel_en_5.5.0_3.0_1726823838829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_finalmodel_en_5.5.0_3.0_1726823838829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_finalmodel|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/OmidAghili/Sentiment_Analysis_FinalModel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_for_emotion_chat_bot_en.md b/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_for_emotion_chat_bot_en.md
new file mode 100644
index 00000000000000..5229a849e530e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_for_emotion_chat_bot_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_analysis_for_emotion_chat_bot RoBertaForSequenceClassification from Shotaro30678
+author: John Snow Labs
+name: sentiment_analysis_for_emotion_chat_bot
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_for_emotion_chat_bot` is a English model originally trained by Shotaro30678.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_for_emotion_chat_bot_en_5.5.0_3.0_1726849942035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_for_emotion_chat_bot_en_5.5.0_3.0_1726849942035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_for_emotion_chat_bot|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/Shotaro30678/sentiment_analysis_for_emotion_chat_bot
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_for_emotion_chat_bot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_for_emotion_chat_bot_pipeline_en.md
new file mode 100644
index 00000000000000..050e63688ded9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_for_emotion_chat_bot_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_analysis_for_emotion_chat_bot_pipeline pipeline RoBertaForSequenceClassification from Shotaro30678
+author: John Snow Labs
+name: sentiment_analysis_for_emotion_chat_bot_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_for_emotion_chat_bot_pipeline` is a English model originally trained by Shotaro30678.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_for_emotion_chat_bot_pipeline_en_5.5.0_3.0_1726849956337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_for_emotion_chat_bot_pipeline_en_5.5.0_3.0_1726849956337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_analysis_for_emotion_chat_bot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_analysis_for_emotion_chat_bot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_for_emotion_chat_bot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.9 MB|
+
+## References
+
+https://huggingface.co/Shotaro30678/sentiment_analysis_for_emotion_chat_bot
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_model_trained_en.md b/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_model_trained_en.md
new file mode 100644
index 00000000000000..fe88df5e46df38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_model_trained_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_analysis_model_trained DistilBertForSequenceClassification from Lasghar
+author: John Snow Labs
+name: sentiment_analysis_model_trained
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_model_trained` is a English model originally trained by Lasghar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_trained_en_5.5.0_3.0_1726860999400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_trained_en_5.5.0_3.0_1726860999400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_model_trained|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Lasghar/sentiment-analysis-model-trained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_model_trained_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_model_trained_pipeline_en.md
new file mode 100644
index 00000000000000..5a6b03e7612818
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_model_trained_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_analysis_model_trained_pipeline pipeline DistilBertForSequenceClassification from Lasghar
+author: John Snow Labs
+name: sentiment_analysis_model_trained_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_model_trained_pipeline` is a English model originally trained by Lasghar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_trained_pipeline_en_5.5.0_3.0_1726861011705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_trained_pipeline_en_5.5.0_3.0_1726861011705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_analysis_model_trained_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_analysis_model_trained_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_model_trained_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Lasghar/sentiment-analysis-model-trained
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-setfit_jt_en.md b/docs/_posts/ahmedlone127/2024-09-20-setfit_jt_en.md
new file mode 100644
index 00000000000000..2b5cda4749b8f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-setfit_jt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English setfit_jt MPNetForSequenceClassification from akswasti
+author: John Snow Labs
+name: setfit_jt
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, mpnet]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`setfit_jt` is a English model originally trained by akswasti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_jt_en_5.5.0_3.0_1726824630667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_jt_en_5.5.0_3.0_1726824630667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|setfit_jt|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/akswasti/setfit-jt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-setfit_jt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-setfit_jt_pipeline_en.md
new file mode 100644
index 00000000000000..99d5360b5287a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-setfit_jt_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English setfit_jt_pipeline pipeline MPNetForSequenceClassification from akswasti
+author: John Snow Labs
+name: setfit_jt_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`setfit_jt_pipeline` is a English model originally trained by akswasti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_jt_pipeline_en_5.5.0_3.0_1726824649926.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_jt_pipeline_en_5.5.0_3.0_1726824649926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("setfit_jt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("setfit_jt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|setfit_jt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/akswasti/setfit-jt
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- MPNetForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-snli_roberta_large_seed_1_en.md b/docs/_posts/ahmedlone127/2024-09-20-snli_roberta_large_seed_1_en.md
new file mode 100644
index 00000000000000..089d79a0d083fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-snli_roberta_large_seed_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English snli_roberta_large_seed_1 RoBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: snli_roberta_large_seed_1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`snli_roberta_large_seed_1` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/snli_roberta_large_seed_1_en_5.5.0_3.0_1726851711061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/snli_roberta_large_seed_1_en_5.5.0_3.0_1726851711061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|snli_roberta_large_seed_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/utahnlp/snli_roberta-large_seed-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-snli_roberta_large_seed_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-snli_roberta_large_seed_1_pipeline_en.md
new file mode 100644
index 00000000000000..a8a13b654970fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-snli_roberta_large_seed_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English snli_roberta_large_seed_1_pipeline pipeline RoBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: snli_roberta_large_seed_1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`snli_roberta_large_seed_1_pipeline` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/snli_roberta_large_seed_1_pipeline_en_5.5.0_3.0_1726851788290.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/snli_roberta_large_seed_1_pipeline_en_5.5.0_3.0_1726851788290.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("snli_roberta_large_seed_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("snli_roberta_large_seed_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|snli_roberta_large_seed_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/utahnlp/snli_roberta-large_seed-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-spea_2_en.md b/docs/_posts/ahmedlone127/2024-09-20-spea_2_en.md
new file mode 100644
index 00000000000000..fdc59700bbb1c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-spea_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English spea_2 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: spea_2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spea_2` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spea_2_en_5.5.0_3.0_1726849670024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spea_2_en_5.5.0_3.0_1726849670024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spea_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/BaronSch/Spea_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-spea_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-spea_2_pipeline_en.md
new file mode 100644
index 00000000000000..a2c9fe7500ae77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-spea_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English spea_2_pipeline pipeline RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: spea_2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spea_2_pipeline` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spea_2_pipeline_en_5.5.0_3.0_1726849692853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spea_2_pipeline_en_5.5.0_3.0_1726849692853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("spea_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("spea_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spea_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/BaronSch/Spea_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sst2_padding20model_en.md b/docs/_posts/ahmedlone127/2024-09-20-sst2_padding20model_en.md
new file mode 100644
index 00000000000000..98cbfe37f5babe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sst2_padding20model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sst2_padding20model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: sst2_padding20model
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sst2_padding20model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sst2_padding20model_en_5.5.0_3.0_1726823468438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sst2_padding20model_en_5.5.0_3.0_1726823468438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sst2_padding20model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/sst2_padding20model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sst2_padding20model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sst2_padding20model_pipeline_en.md
new file mode 100644
index 00000000000000..eabe84040ba74a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sst2_padding20model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sst2_padding20model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: sst2_padding20model_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sst2_padding20model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sst2_padding20model_pipeline_en_5.5.0_3.0_1726823480739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sst2_padding20model_pipeline_en_5.5.0_3.0_1726823480739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sst2_padding20model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sst2_padding20model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sst2_padding20model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/sst2_padding20model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_en.md b/docs/_posts/ahmedlone127/2024-09-20-stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_en.md
new file mode 100644
index 00000000000000..7135f58a360700
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_en_5.5.0_3.0_1726792176186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_en_5.5.0_3.0_1726792176186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-10-2024-07-26_16-03-28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_pipeline_en.md
new file mode 100644
index 00000000000000..8981922090cbe8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_pipeline_en_5.5.0_3.0_1726792188595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_pipeline_en_5.5.0_3.0_1726792188595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_10_2024_07_26_16_03_28_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-10-2024-07-26_16-03-28
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_pipeline_en.md
new file mode 100644
index 00000000000000..08739e8c8e8bd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_pipeline_en_5.5.0_3.0_1726792390324.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_pipeline_en_5.5.0_3.0_1726792390324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_90_2024_07_26_16_03_28_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-90-2024-07-26_16-03-28
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-subjectivity_detection_for_chatgpt_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-20-subjectivity_detection_for_chatgpt_sentiment_en.md
new file mode 100644
index 00000000000000..678cf91d090690
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-subjectivity_detection_for_chatgpt_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English subjectivity_detection_for_chatgpt_sentiment RoBertaForSequenceClassification from Re0x10
+author: John Snow Labs
+name: subjectivity_detection_for_chatgpt_sentiment
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`subjectivity_detection_for_chatgpt_sentiment` is a English model originally trained by Re0x10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/subjectivity_detection_for_chatgpt_sentiment_en_5.5.0_3.0_1726850334101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/subjectivity_detection_for_chatgpt_sentiment_en_5.5.0_3.0_1726850334101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|subjectivity_detection_for_chatgpt_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/Re0x10/subjectivity-detection-for-ChatGPT-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-subjectivity_detection_for_chatgpt_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-subjectivity_detection_for_chatgpt_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..bea3d7cc2a6e4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-subjectivity_detection_for_chatgpt_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English subjectivity_detection_for_chatgpt_sentiment_pipeline pipeline RoBertaForSequenceClassification from Re0x10
+author: John Snow Labs
+name: subjectivity_detection_for_chatgpt_sentiment_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`subjectivity_detection_for_chatgpt_sentiment_pipeline` is a English model originally trained by Re0x10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/subjectivity_detection_for_chatgpt_sentiment_pipeline_en_5.5.0_3.0_1726850356761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/subjectivity_detection_for_chatgpt_sentiment_pipeline_en_5.5.0_3.0_1726850356761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("subjectivity_detection_for_chatgpt_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("subjectivity_detection_for_chatgpt_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|subjectivity_detection_for_chatgpt_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/Re0x10/subjectivity-detection-for-ChatGPT-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-symptom_ner_en.md b/docs/_posts/ahmedlone127/2024-09-20-symptom_ner_en.md
new file mode 100644
index 00000000000000..44aa2b5cc03632
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-symptom_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English symptom_ner RoBertaForTokenClassification from biololab
+author: John Snow Labs
+name: symptom_ner
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`symptom_ner` is a English model originally trained by biololab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/symptom_ner_en_5.5.0_3.0_1726853492980.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/symptom_ner_en_5.5.0_3.0_1726853492980.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|symptom_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|433.3 MB|
+
+## References
+
+https://huggingface.co/biololab/symptom_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-symptom_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-symptom_ner_pipeline_en.md
new file mode 100644
index 00000000000000..12cb6fa5d7182b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-symptom_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English symptom_ner_pipeline pipeline RoBertaForTokenClassification from biololab
+author: John Snow Labs
+name: symptom_ner_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`symptom_ner_pipeline` is a English model originally trained by biololab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/symptom_ner_pipeline_en_5.5.0_3.0_1726853523152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/symptom_ner_pipeline_en_5.5.0_3.0_1726853523152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("symptom_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("symptom_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|symptom_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|433.3 MB|
+
+## References
+
+https://huggingface.co/biololab/symptom_ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-test1_onlysmokehuazi_en.md b/docs/_posts/ahmedlone127/2024-09-20-test1_onlysmokehuazi_en.md
new file mode 100644
index 00000000000000..5ac99e7ffb5c98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-test1_onlysmokehuazi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test1_onlysmokehuazi DistilBertForSequenceClassification from Onlysmokehuazi
+author: John Snow Labs
+name: test1_onlysmokehuazi
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test1_onlysmokehuazi` is a English model originally trained by Onlysmokehuazi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test1_onlysmokehuazi_en_5.5.0_3.0_1726832506501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test1_onlysmokehuazi_en_5.5.0_3.0_1726832506501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test1_onlysmokehuazi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Onlysmokehuazi/test1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-test_model_name_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-test_model_name_pipeline_en.md
new file mode 100644
index 00000000000000..66ea4e47ee91d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-test_model_name_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_model_name_pipeline pipeline DistilBertForSequenceClassification from lingaying
+author: John Snow Labs
+name: test_model_name_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_model_name_pipeline` is a English model originally trained by lingaying.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model_name_pipeline_en_5.5.0_3.0_1726848666312.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model_name_pipeline_en_5.5.0_3.0_1726848666312.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_model_name_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_model_name_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_model_name_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lingaying/test_model_name
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-test_trainer_raghavsharma06_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-test_trainer_raghavsharma06_pipeline_en.md
new file mode 100644
index 00000000000000..216994b3e94817
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-test_trainer_raghavsharma06_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_trainer_raghavsharma06_pipeline pipeline DistilBertForSequenceClassification from raghavsharma06
+author: John Snow Labs
+name: test_trainer_raghavsharma06_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_trainer_raghavsharma06_pipeline` is a English model originally trained by raghavsharma06.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_raghavsharma06_pipeline_en_5.5.0_3.0_1726861235212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_raghavsharma06_pipeline_en_5.5.0_3.0_1726861235212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_trainer_raghavsharma06_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_trainer_raghavsharma06_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_raghavsharma06_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/raghavsharma06/test_trainer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-test_whisper_tiny_thai_sipang_en.md b/docs/_posts/ahmedlone127/2024-09-20-test_whisper_tiny_thai_sipang_en.md
new file mode 100644
index 00000000000000..09d0170a46642a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-test_whisper_tiny_thai_sipang_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English test_whisper_tiny_thai_sipang WhisperForCTC from Sipang
+author: John Snow Labs
+name: test_whisper_tiny_thai_sipang
+date: 2024-09-20
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_whisper_tiny_thai_sipang` is a English model originally trained by Sipang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_whisper_tiny_thai_sipang_en_5.5.0_3.0_1726874307654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_whisper_tiny_thai_sipang_en_5.5.0_3.0_1726874307654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_whisper_tiny_thai_sipang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/Sipang/test-whisper-tiny-th
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-test_whisper_tiny_thai_sipang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-test_whisper_tiny_thai_sipang_pipeline_en.md
new file mode 100644
index 00000000000000..9f3949d215fb58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-test_whisper_tiny_thai_sipang_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English test_whisper_tiny_thai_sipang_pipeline pipeline WhisperForCTC from Sipang
+author: John Snow Labs
+name: test_whisper_tiny_thai_sipang_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_whisper_tiny_thai_sipang_pipeline` is a English model originally trained by Sipang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_whisper_tiny_thai_sipang_pipeline_en_5.5.0_3.0_1726874333460.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_whisper_tiny_thai_sipang_pipeline_en_5.5.0_3.0_1726874333460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_whisper_tiny_thai_sipang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_whisper_tiny_thai_sipang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_whisper_tiny_thai_sipang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/Sipang/test-whisper-tiny-th
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-tester2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-tester2_pipeline_en.md
new file mode 100644
index 00000000000000..89ffe4bd1fb5d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-tester2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tester2_pipeline pipeline DistilBertForSequenceClassification from thomasbeetz
+author: John Snow Labs
+name: tester2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tester2_pipeline` is a English model originally trained by thomasbeetz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tester2_pipeline_en_5.5.0_3.0_1726792101011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tester2_pipeline_en_5.5.0_3.0_1726792101011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tester2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tester2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tester2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thomasbeetz/tester2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-testing_model_isom5240sp24_en.md b/docs/_posts/ahmedlone127/2024-09-20-testing_model_isom5240sp24_en.md
new file mode 100644
index 00000000000000..d1046ecb9aaff9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-testing_model_isom5240sp24_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English testing_model_isom5240sp24 DistilBertForSequenceClassification from isom5240sp24
+author: John Snow Labs
+name: testing_model_isom5240sp24
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testing_model_isom5240sp24` is a English model originally trained by isom5240sp24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testing_model_isom5240sp24_en_5.5.0_3.0_1726871777088.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testing_model_isom5240sp24_en_5.5.0_3.0_1726871777088.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testing_model_isom5240sp24|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/isom5240sp24/testing_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-testing_model_isom5240sp24_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-testing_model_isom5240sp24_pipeline_en.md
new file mode 100644
index 00000000000000..f7bb1f995e21ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-testing_model_isom5240sp24_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English testing_model_isom5240sp24_pipeline pipeline DistilBertForSequenceClassification from isom5240sp24
+author: John Snow Labs
+name: testing_model_isom5240sp24_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testing_model_isom5240sp24_pipeline` is a English model originally trained by isom5240sp24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testing_model_isom5240sp24_pipeline_en_5.5.0_3.0_1726871788612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testing_model_isom5240sp24_pipeline_en_5.5.0_3.0_1726871788612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("testing_model_isom5240sp24_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("testing_model_isom5240sp24_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testing_model_isom5240sp24_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/isom5240sp24/testing_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-testxlmmulti3_en.md b/docs/_posts/ahmedlone127/2024-09-20-testxlmmulti3_en.md
new file mode 100644
index 00000000000000..6f4e27a1f9c621
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-testxlmmulti3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English testxlmmulti3 XlmRoBertaForSequenceClassification from sheduele
+author: John Snow Labs
+name: testxlmmulti3
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testxlmmulti3` is a English model originally trained by sheduele.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testxlmmulti3_en_5.5.0_3.0_1726845583467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testxlmmulti3_en_5.5.0_3.0_1726845583467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testxlmmulti3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|834.3 MB|
+
+## References
+
+https://huggingface.co/sheduele/testXLMMULTI3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-testxlmmulti3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-testxlmmulti3_pipeline_en.md
new file mode 100644
index 00000000000000..30646a588266a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-testxlmmulti3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English testxlmmulti3_pipeline pipeline XlmRoBertaForSequenceClassification from sheduele
+author: John Snow Labs
+name: testxlmmulti3_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testxlmmulti3_pipeline` is a English model originally trained by sheduele.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testxlmmulti3_pipeline_en_5.5.0_3.0_1726845690127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testxlmmulti3_pipeline_en_5.5.0_3.0_1726845690127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("testxlmmulti3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("testxlmmulti3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testxlmmulti3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|834.3 MB|
+
+## References
+
+https://huggingface.co/sheduele/testXLMMULTI3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-text_classification_100_en.md b/docs/_posts/ahmedlone127/2024-09-20-text_classification_100_en.md
new file mode 100644
index 00000000000000..3005a7302f6323
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-text_classification_100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English text_classification_100 DistilBertForSequenceClassification from Neroism8422
+author: John Snow Labs
+name: text_classification_100
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_100` is a English model originally trained by Neroism8422.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_100_en_5.5.0_3.0_1726841339097.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_100_en_5.5.0_3.0_1726841339097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Neroism8422/Text_Classification_100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-text_clf_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-text_clf_pipeline_en.md
new file mode 100644
index 00000000000000..71db10b59bee93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-text_clf_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English text_clf_pipeline pipeline DistilBertForSequenceClassification from SLKpnu
+author: John Snow Labs
+name: text_clf_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_clf_pipeline` is a English model originally trained by SLKpnu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_clf_pipeline_en_5.5.0_3.0_1726823810450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_clf_pipeline_en_5.5.0_3.0_1726823810450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("text_clf_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("text_clf_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_clf_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SLKpnu/text_clf
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-topic_topic_random0_seed0_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-20-topic_topic_random0_seed0_bernice_en.md
new file mode 100644
index 00000000000000..99281648ef9ec5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-topic_topic_random0_seed0_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English topic_topic_random0_seed0_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random0_seed0_bernice
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random0_seed0_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random0_seed0_bernice_en_5.5.0_3.0_1726865253086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random0_seed0_bernice_en_5.5.0_3.0_1726865253086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random0_seed0_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|805.6 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random0_seed0-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-topic_topic_random0_seed0_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-topic_topic_random0_seed0_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..cde9c03aa28d98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-topic_topic_random0_seed0_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English topic_topic_random0_seed0_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random0_seed0_bernice_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random0_seed0_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random0_seed0_bernice_pipeline_en_5.5.0_3.0_1726865387882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random0_seed0_bernice_pipeline_en_5.5.0_3.0_1726865387882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("topic_topic_random0_seed0_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("topic_topic_random0_seed0_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random0_seed0_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|805.7 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random0_seed0-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-topic_topic_random1_seed0_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-topic_topic_random1_seed0_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..c88d6011c35c96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-topic_topic_random1_seed0_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English topic_topic_random1_seed0_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random1_seed0_bernice_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random1_seed0_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random1_seed0_bernice_pipeline_en_5.5.0_3.0_1726872779836.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random1_seed0_bernice_pipeline_en_5.5.0_3.0_1726872779836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("topic_topic_random1_seed0_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("topic_topic_random1_seed0_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random1_seed0_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|805.5 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random1_seed0-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-toxic_detection_en.md b/docs/_posts/ahmedlone127/2024-09-20-toxic_detection_en.md
new file mode 100644
index 00000000000000..f7f2f8f8505ede
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-toxic_detection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English toxic_detection XlmRoBertaForSequenceClassification from sonnv
+author: John Snow Labs
+name: toxic_detection
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxic_detection` is a English model originally trained by sonnv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_detection_en_5.5.0_3.0_1726873454516.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_detection_en_5.5.0_3.0_1726873454516.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxic_detection|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|693.4 MB|
+
+## References
+
+https://huggingface.co/sonnv/toxic_detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-toxic_detection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-toxic_detection_pipeline_en.md
new file mode 100644
index 00000000000000..d9cd3617f2ef68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-toxic_detection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English toxic_detection_pipeline pipeline XlmRoBertaForSequenceClassification from sonnv
+author: John Snow Labs
+name: toxic_detection_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxic_detection_pipeline` is a English model originally trained by sonnv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_detection_pipeline_en_5.5.0_3.0_1726873619523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_detection_pipeline_en_5.5.0_3.0_1726873619523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("toxic_detection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("toxic_detection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxic_detection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|693.4 MB|
+
+## References
+
+https://huggingface.co/sonnv/toxic_detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-trained_sentiment_analyzer_ipex_en.md b/docs/_posts/ahmedlone127/2024-09-20-trained_sentiment_analyzer_ipex_en.md
new file mode 100644
index 00000000000000..3a736f82229ac0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-trained_sentiment_analyzer_ipex_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trained_sentiment_analyzer_ipex DistilBertForSequenceClassification from redbaron007
+author: John Snow Labs
+name: trained_sentiment_analyzer_ipex
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trained_sentiment_analyzer_ipex` is a English model originally trained by redbaron007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trained_sentiment_analyzer_ipex_en_5.5.0_3.0_1726823720949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trained_sentiment_analyzer_ipex_en_5.5.0_3.0_1726823720949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trained_sentiment_analyzer_ipex|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/redbaron007/trained-sentiment-analyzer-ipex
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-trainer3b_en.md b/docs/_posts/ahmedlone127/2024-09-20-trainer3b_en.md
new file mode 100644
index 00000000000000..208d065e1f0386
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-trainer3b_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trainer3b DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: trainer3b
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer3b` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer3b_en_5.5.0_3.0_1726823830451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer3b_en_5.5.0_3.0_1726823830451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainer3b|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/SimoneJLaudani/trainer3b
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-trainerh2_en.md b/docs/_posts/ahmedlone127/2024-09-20-trainerh2_en.md
new file mode 100644
index 00000000000000..4839584d189fdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-trainerh2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trainerh2 DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: trainerh2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainerh2` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainerh2_en_5.5.0_3.0_1726848926481.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainerh2_en_5.5.0_3.0_1726848926481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainerh2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SimoneJLaudani/trainerH2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-try_model_icelandic_health_en.md b/docs/_posts/ahmedlone127/2024-09-20-try_model_icelandic_health_en.md
new file mode 100644
index 00000000000000..ebc068d3486fe1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-try_model_icelandic_health_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English try_model_icelandic_health DistilBertForSequenceClassification from iamaries
+author: John Snow Labs
+name: try_model_icelandic_health
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`try_model_icelandic_health` is a English model originally trained by iamaries.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/try_model_icelandic_health_en_5.5.0_3.0_1726841329126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/try_model_icelandic_health_en_5.5.0_3.0_1726841329126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|try_model_icelandic_health|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/iamaries/try_model_is_health
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-try_model_icelandic_health_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-try_model_icelandic_health_pipeline_en.md
new file mode 100644
index 00000000000000..c15145944bed9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-try_model_icelandic_health_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English try_model_icelandic_health_pipeline pipeline DistilBertForSequenceClassification from iamaries
+author: John Snow Labs
+name: try_model_icelandic_health_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`try_model_icelandic_health_pipeline` is a English model originally trained by iamaries.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/try_model_icelandic_health_pipeline_en_5.5.0_3.0_1726841341662.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/try_model_icelandic_health_pipeline_en_5.5.0_3.0_1726841341662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("try_model_icelandic_health_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("try_model_icelandic_health_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|try_model_icelandic_health_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/iamaries/try_model_is_health
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-twiiter_try6_fold1_en.md b/docs/_posts/ahmedlone127/2024-09-20-twiiter_try6_fold1_en.md
new file mode 100644
index 00000000000000..3be8e1f1f16a01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-twiiter_try6_fold1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twiiter_try6_fold1 XlmRoBertaForSequenceClassification from yanezh
+author: John Snow Labs
+name: twiiter_try6_fold1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twiiter_try6_fold1` is a English model originally trained by yanezh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twiiter_try6_fold1_en_5.5.0_3.0_1726872739216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twiiter_try6_fold1_en_5.5.0_3.0_1726872739216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twiiter_try6_fold1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/yanezh/twiiter_try6_fold1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-twitter_xlm_roberta_base_sentiment_geomeife_en.md b/docs/_posts/ahmedlone127/2024-09-20-twitter_xlm_roberta_base_sentiment_geomeife_en.md
new file mode 100644
index 00000000000000..a52c4ec5d5ffe7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-twitter_xlm_roberta_base_sentiment_geomeife_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_xlm_roberta_base_sentiment_geomeife XlmRoBertaForSequenceClassification from Geomeife
+author: John Snow Labs
+name: twitter_xlm_roberta_base_sentiment_geomeife
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_xlm_roberta_base_sentiment_geomeife` is a English model originally trained by Geomeife.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_xlm_roberta_base_sentiment_geomeife_en_5.5.0_3.0_1726800690703.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_xlm_roberta_base_sentiment_geomeife_en_5.5.0_3.0_1726800690703.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_xlm_roberta_base_sentiment_geomeife|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/Geomeife/twitter-xlm-roberta-base-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-twitterfin_padding40model_en.md b/docs/_posts/ahmedlone127/2024-09-20-twitterfin_padding40model_en.md
new file mode 100644
index 00000000000000..86bc89dba47f7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-twitterfin_padding40model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitterfin_padding40model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: twitterfin_padding40model
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitterfin_padding40model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitterfin_padding40model_en_5.5.0_3.0_1726841097603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitterfin_padding40model_en_5.5.0_3.0_1726841097603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitterfin_padding40model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/twitterfin_padding40model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-twitterfin_padding40model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-twitterfin_padding40model_pipeline_en.md
new file mode 100644
index 00000000000000..e00cab2f71735b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-twitterfin_padding40model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitterfin_padding40model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: twitterfin_padding40model_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitterfin_padding40model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitterfin_padding40model_pipeline_en_5.5.0_3.0_1726841109749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitterfin_padding40model_pipeline_en_5.5.0_3.0_1726841109749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitterfin_padding40model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitterfin_padding40model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitterfin_padding40model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/twitterfin_padding40model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-uned_tfg_08_78_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-uned_tfg_08_78_pipeline_en.md
new file mode 100644
index 00000000000000..979cfadfe70c3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-uned_tfg_08_78_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English uned_tfg_08_78_pipeline pipeline RoBertaForSequenceClassification from alexisdr
+author: John Snow Labs
+name: uned_tfg_08_78_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`uned_tfg_08_78_pipeline` is a English model originally trained by alexisdr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/uned_tfg_08_78_pipeline_en_5.5.0_3.0_1726852103895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/uned_tfg_08_78_pipeline_en_5.5.0_3.0_1726852103895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("uned_tfg_08_78_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("uned_tfg_08_78_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|uned_tfg_08_78_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|443.4 MB|
+
+## References
+
+https://huggingface.co/alexisdr/uned-tfg-08.78
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-wandb_test_5e_5_en.md b/docs/_posts/ahmedlone127/2024-09-20-wandb_test_5e_5_en.md
new file mode 100644
index 00000000000000..bbb9ad95cc99c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-wandb_test_5e_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English wandb_test_5e_5 XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: wandb_test_5e_5
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wandb_test_5e_5` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wandb_test_5e_5_en_5.5.0_3.0_1726843955223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wandb_test_5e_5_en_5.5.0_3.0_1726843955223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wandb_test_5e_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/grace-pro/wandb_test_5e-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-wandb_test_5e_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-wandb_test_5e_5_pipeline_en.md
new file mode 100644
index 00000000000000..84fe1665951fe4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-wandb_test_5e_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English wandb_test_5e_5_pipeline pipeline XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: wandb_test_5e_5_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wandb_test_5e_5_pipeline` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wandb_test_5e_5_pipeline_en_5.5.0_3.0_1726844006065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wandb_test_5e_5_pipeline_en_5.5.0_3.0_1726844006065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("wandb_test_5e_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("wandb_test_5e_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wandb_test_5e_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/grace-pro/wandb_test_5e-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_base_atco2_en.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_base_atco2_en.md
new file mode 100644
index 00000000000000..9423b12694c9a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_base_atco2_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_base_atco2 WhisperForCTC from FunPang
+author: John Snow Labs
+name: whisper_base_atco2
+date: 2024-09-20
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_atco2` is a English model originally trained by FunPang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_atco2_en_5.5.0_3.0_1726874736873.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_atco2_en_5.5.0_3.0_1726874736873.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_atco2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|642.1 MB|
+
+## References
+
+https://huggingface.co/FunPang/whisper_base_atco2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_base_atco2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_base_atco2_pipeline_en.md
new file mode 100644
index 00000000000000..7e4d4690b1fe97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_base_atco2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_atco2_pipeline pipeline WhisperForCTC from FunPang
+author: John Snow Labs
+name: whisper_base_atco2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_atco2_pipeline` is a English model originally trained by FunPang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_atco2_pipeline_en_5.5.0_3.0_1726874775207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_atco2_pipeline_en_5.5.0_3.0_1726874775207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_atco2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_atco2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_atco2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|642.1 MB|
+
+## References
+
+https://huggingface.co/FunPang/whisper_base_atco2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_base_pashto_ihanif_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_base_pashto_ihanif_pipeline_en.md
new file mode 100644
index 00000000000000..6022245aa9b836
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_base_pashto_ihanif_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_pashto_ihanif_pipeline pipeline WhisperForCTC from ihanif
+author: John Snow Labs
+name: whisper_base_pashto_ihanif_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_pashto_ihanif_pipeline` is a English model originally trained by ihanif.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_pashto_ihanif_pipeline_en_5.5.0_3.0_1726810229623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_pashto_ihanif_pipeline_en_5.5.0_3.0_1726810229623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_pashto_ihanif_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_pashto_ihanif_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_pashto_ihanif_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|643.9 MB|
+
+## References
+
+https://huggingface.co/ihanif/whisper-base-ps
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_base_portuguese_old_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_base_portuguese_old_pipeline_pt.md
new file mode 100644
index 00000000000000..83c7c2c7ac38d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_base_portuguese_old_pipeline_pt.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Portuguese whisper_base_portuguese_old_pipeline pipeline WhisperForCTC from zuazo
+author: John Snow Labs
+name: whisper_base_portuguese_old_pipeline
+date: 2024-09-20
+tags: [pt, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_portuguese_old_pipeline` is a Portuguese model originally trained by zuazo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_portuguese_old_pipeline_pt_5.5.0_3.0_1726874362473.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_portuguese_old_pipeline_pt_5.5.0_3.0_1726874362473.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_portuguese_old_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_portuguese_old_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_portuguese_old_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|641.4 MB|
+
+## References
+
+https://huggingface.co/zuazo/whisper-base-pt-old
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_base_portuguese_old_pt.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_base_portuguese_old_pt.md
new file mode 100644
index 00000000000000..5a7aecb8bfd9ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_base_portuguese_old_pt.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Portuguese whisper_base_portuguese_old WhisperForCTC from zuazo
+author: John Snow Labs
+name: whisper_base_portuguese_old
+date: 2024-09-20
+tags: [pt, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_portuguese_old` is a Portuguese model originally trained by zuazo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_portuguese_old_pt_5.5.0_3.0_1726874329464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_portuguese_old_pt_5.5.0_3.0_1726874329464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_divehi_arpan_das_astrophysics|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/arpan-das-astrophysics/whisper-small-dv
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_small_divehi_arpan_das_astrophysics_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_divehi_arpan_das_astrophysics_pipeline_en.md
new file mode 100644
index 00000000000000..3d09b0ccf9c9e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_divehi_arpan_das_astrophysics_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_divehi_arpan_das_astrophysics_pipeline pipeline WhisperForCTC from arpan-das-astrophysics
+author: John Snow Labs
+name: whisper_small_divehi_arpan_das_astrophysics_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_divehi_arpan_das_astrophysics_pipeline` is a English model originally trained by arpan-das-astrophysics.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_arpan_das_astrophysics_pipeline_en_5.5.0_3.0_1726874492670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_arpan_das_astrophysics_pipeline_en_5.5.0_3.0_1726874492670.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_divehi_arpan_das_astrophysics_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_divehi_arpan_das_astrophysics_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_divehi_arpan_das_astrophysics_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/arpan-das-astrophysics/whisper-small-dv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_small_oriya_pipeline_bn.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_oriya_pipeline_bn.md
new file mode 100644
index 00000000000000..1e263b35553f6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_oriya_pipeline_bn.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Bengali whisper_small_oriya_pipeline pipeline WhisperForCTC from amitkayal
+author: John Snow Labs
+name: whisper_small_oriya_pipeline
+date: 2024-09-20
+tags: [bn, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: bn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_oriya_pipeline` is a Bengali model originally trained by amitkayal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_oriya_pipeline_bn_5.5.0_3.0_1726811909944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_oriya_pipeline_bn_5.5.0_3.0_1726811909944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_oriya_pipeline", lang = "bn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_oriya_pipeline", lang = "bn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_oriya_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|bn|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/amitkayal/whisper-small-or
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_small_persian_farsi_tavakoli_fa.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_persian_farsi_tavakoli_fa.md
new file mode 100644
index 00000000000000..5972e1fd9e044f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_persian_farsi_tavakoli_fa.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Persian whisper_small_persian_farsi_tavakoli WhisperForCTC from Tavakoli
+author: John Snow Labs
+name: whisper_small_persian_farsi_tavakoli
+date: 2024-09-20
+tags: [fa, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_persian_farsi_tavakoli` is a Persian model originally trained by Tavakoli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_persian_farsi_tavakoli_fa_5.5.0_3.0_1726876625515.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_persian_farsi_tavakoli_fa_5.5.0_3.0_1726876625515.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_persian_farsi_tavakoli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|fa|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Tavakoli/whisper-small-fa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_small_persian_farsi_tavakoli_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_persian_farsi_tavakoli_pipeline_fa.md
new file mode 100644
index 00000000000000..f54702074f58ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_persian_farsi_tavakoli_pipeline_fa.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Persian whisper_small_persian_farsi_tavakoli_pipeline pipeline WhisperForCTC from Tavakoli
+author: John Snow Labs
+name: whisper_small_persian_farsi_tavakoli_pipeline
+date: 2024-09-20
+tags: [fa, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_persian_farsi_tavakoli_pipeline` is a Persian model originally trained by Tavakoli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_persian_farsi_tavakoli_pipeline_fa_5.5.0_3.0_1726876712959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_persian_farsi_tavakoli_pipeline_fa_5.5.0_3.0_1726876712959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_persian_farsi_tavakoli_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_persian_farsi_tavakoli_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_persian_farsi_tavakoli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Tavakoli/whisper-small-fa
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_small_portuguese_estelle1emerson_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_portuguese_estelle1emerson_pipeline_pt.md
new file mode 100644
index 00000000000000..c3e9d20da2ec69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_portuguese_estelle1emerson_pipeline_pt.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Portuguese whisper_small_portuguese_estelle1emerson_pipeline pipeline WhisperForCTC from estelle1emerson
+author: John Snow Labs
+name: whisper_small_portuguese_estelle1emerson_pipeline
+date: 2024-09-20
+tags: [pt, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_portuguese_estelle1emerson_pipeline` is a Portuguese model originally trained by estelle1emerson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_portuguese_estelle1emerson_pipeline_pt_5.5.0_3.0_1726874720934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_portuguese_estelle1emerson_pipeline_pt_5.5.0_3.0_1726874720934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_portuguese_estelle1emerson_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_portuguese_estelle1emerson_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_portuguese_estelle1emerson_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/estelle1emerson/whisper-small-pt
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_small_portuguese_estelle1emerson_pt.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_portuguese_estelle1emerson_pt.md
new file mode 100644
index 00000000000000..64715e573d0fcc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_small_portuguese_estelle1emerson_pt.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Portuguese whisper_small_portuguese_estelle1emerson WhisperForCTC from estelle1emerson
+author: John Snow Labs
+name: whisper_small_portuguese_estelle1emerson
+date: 2024-09-20
+tags: [pt, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_portuguese_estelle1emerson` is a Portuguese model originally trained by estelle1emerson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_portuguese_estelle1emerson_pt_5.5.0_3.0_1726874637633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_portuguese_estelle1emerson_pt_5.5.0_3.0_1726874637633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_arabic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hi|
+|Size:|390.7 MB|
+
+## References
+
+https://huggingface.co/arbml/whisper-tiny-ar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_arabic_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_arabic_pipeline_hi.md
new file mode 100644
index 00000000000000..6a00ebaebe213b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_arabic_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_tiny_arabic_pipeline pipeline WhisperForCTC from arbml
+author: John Snow Labs
+name: whisper_tiny_arabic_pipeline
+date: 2024-09-20
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_arabic_pipeline` is a Hindi model originally trained by arbml.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_arabic_pipeline_hi_5.5.0_3.0_1726874676801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_arabic_pipeline_hi_5.5.0_3.0_1726874676801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_arabic_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_arabic_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_arabic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|390.7 MB|
+
+## References
+
+https://huggingface.co/arbml/whisper-tiny-ar
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_finetuned_minds14_jackismyshephard_en.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_finetuned_minds14_jackismyshephard_en.md
new file mode 100644
index 00000000000000..b9fdb14098ead4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_finetuned_minds14_jackismyshephard_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_finetuned_minds14_jackismyshephard WhisperForCTC from JackismyShephard
+author: John Snow Labs
+name: whisper_tiny_finetuned_minds14_jackismyshephard
+date: 2024-09-20
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_finetuned_minds14_jackismyshephard` is a English model originally trained by JackismyShephard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_finetuned_minds14_jackismyshephard_en_5.5.0_3.0_1726874308111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_finetuned_minds14_jackismyshephard_en_5.5.0_3.0_1726874308111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_italian_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|it|
+|Size:|390.4 MB|
+
+## References
+
+https://huggingface.co/GIanlucaRub/whisper-tiny-it-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_italian_4_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_italian_4_pipeline_it.md
new file mode 100644
index 00000000000000..b2ead2de2c6945
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_italian_4_pipeline_it.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Italian whisper_tiny_italian_4_pipeline pipeline WhisperForCTC from GIanlucaRub
+author: John Snow Labs
+name: whisper_tiny_italian_4_pipeline
+date: 2024-09-20
+tags: [it, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_italian_4_pipeline` is a Italian model originally trained by GIanlucaRub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_italian_4_pipeline_it_5.5.0_3.0_1726875011501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_italian_4_pipeline_it_5.5.0_3.0_1726875011501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_italian_4_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_italian_4_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_italian_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|390.4 MB|
+
+## References
+
+https://huggingface.co/GIanlucaRub/whisper-tiny-it-4
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_us_agercas_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_us_agercas_pipeline_en.md
new file mode 100644
index 00000000000000..383ed8afda6f7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-whisper_tiny_us_agercas_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_us_agercas_pipeline pipeline WhisperForCTC from agercas
+author: John Snow Labs
+name: whisper_tiny_us_agercas_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_us_agercas_pipeline` is a English model originally trained by agercas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_us_agercas_pipeline_en_5.5.0_3.0_1726811709623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_us_agercas_pipeline_en_5.5.0_3.0_1726811709623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_us_agercas_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_us_agercas_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_us_agercas_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/agercas/whisper-tiny-us
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-wisesight_sentiment_xlm_r_en.md b/docs/_posts/ahmedlone127/2024-09-20-wisesight_sentiment_xlm_r_en.md
new file mode 100644
index 00000000000000..efefeb6f19a2c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-wisesight_sentiment_xlm_r_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English wisesight_sentiment_xlm_r XlmRoBertaForSequenceClassification from Cincin-nvp
+author: John Snow Labs
+name: wisesight_sentiment_xlm_r
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wisesight_sentiment_xlm_r` is a English model originally trained by Cincin-nvp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wisesight_sentiment_xlm_r_en_5.5.0_3.0_1726846617205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wisesight_sentiment_xlm_r_en_5.5.0_3.0_1726846617205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wisesight_sentiment_xlm_r|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|853.0 MB|
+
+## References
+
+https://huggingface.co/Cincin-nvp/wisesight_sentiment_XLM-R
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-wisesight_sentiment_xlm_r_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-wisesight_sentiment_xlm_r_pipeline_en.md
new file mode 100644
index 00000000000000..cef57e1ad42ae0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-wisesight_sentiment_xlm_r_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English wisesight_sentiment_xlm_r_pipeline pipeline XlmRoBertaForSequenceClassification from Cincin-nvp
+author: John Snow Labs
+name: wisesight_sentiment_xlm_r_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wisesight_sentiment_xlm_r_pipeline` is a English model originally trained by Cincin-nvp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wisesight_sentiment_xlm_r_pipeline_en_5.5.0_3.0_1726846679445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wisesight_sentiment_xlm_r_pipeline_en_5.5.0_3.0_1726846679445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("wisesight_sentiment_xlm_r_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("wisesight_sentiment_xlm_r_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wisesight_sentiment_xlm_r_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.0 MB|
+
+## References
+
+https://huggingface.co/Cincin-nvp/wisesight_sentiment_XLM-R
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-withinapps_ndd_mrbs_test_content_tags_cwadj_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-withinapps_ndd_mrbs_test_content_tags_cwadj_pipeline_en.md
new file mode 100644
index 00000000000000..dfbd76ed62d837
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-withinapps_ndd_mrbs_test_content_tags_cwadj_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English withinapps_ndd_mrbs_test_content_tags_cwadj_pipeline pipeline DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_mrbs_test_content_tags_cwadj_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_mrbs_test_content_tags_cwadj_pipeline` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_mrbs_test_content_tags_cwadj_pipeline_en_5.5.0_3.0_1726792032389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_mrbs_test_content_tags_cwadj_pipeline_en_5.5.0_3.0_1726792032389.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("withinapps_ndd_mrbs_test_content_tags_cwadj_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("withinapps_ndd_mrbs_test_content_tags_cwadj_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_mrbs_test_content_tags_cwadj_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-mrbs_test-content_tags-CWAdj
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-withinapps_ndd_ppma_test_tags_cwadj_en.md b/docs/_posts/ahmedlone127/2024-09-20-withinapps_ndd_ppma_test_tags_cwadj_en.md
new file mode 100644
index 00000000000000..51d185ed0e119b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-withinapps_ndd_ppma_test_tags_cwadj_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English withinapps_ndd_ppma_test_tags_cwadj DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_ppma_test_tags_cwadj
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_ppma_test_tags_cwadj` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_ppma_test_tags_cwadj_en_5.5.0_3.0_1726792181182.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_ppma_test_tags_cwadj_en_5.5.0_3.0_1726792181182.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_ppma_test_tags_cwadj|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-ppma_test-tags-CWAdj
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-withinapps_ndd_ppma_test_tags_cwadj_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-withinapps_ndd_ppma_test_tags_cwadj_pipeline_en.md
new file mode 100644
index 00000000000000..4d2a03bd54c1d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-withinapps_ndd_ppma_test_tags_cwadj_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English withinapps_ndd_ppma_test_tags_cwadj_pipeline pipeline DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_ppma_test_tags_cwadj_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_ppma_test_tags_cwadj_pipeline` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_ppma_test_tags_cwadj_pipeline_en_5.5.0_3.0_1726792193625.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_ppma_test_tags_cwadj_pipeline_en_5.5.0_3.0_1726792193625.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("withinapps_ndd_ppma_test_tags_cwadj_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("withinapps_ndd_ppma_test_tags_cwadj_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_ppma_test_tags_cwadj_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-ppma_test-tags-CWAdj
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_robert_finetune_model_thai_french_mm_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_robert_finetune_model_thai_french_mm_en.md
new file mode 100644
index 00000000000000..49db2f75464b6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_robert_finetune_model_thai_french_mm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_robert_finetune_model_thai_french_mm XlmRoBertaForTokenClassification from zhangwenzhe
+author: John Snow Labs
+name: xlm_robert_finetune_model_thai_french_mm
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_robert_finetune_model_thai_french_mm` is a English model originally trained by zhangwenzhe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_robert_finetune_model_thai_french_mm_en_5.5.0_3.0_1726844434243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_robert_finetune_model_thai_french_mm_en_5.5.0_3.0_1726844434243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_robert_finetune_model_thai_french_mm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|773.1 MB|
+
+## References
+
+https://huggingface.co/zhangwenzhe/XLM-Robert-finetune-model-THAI-FR-MM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_robert_finetune_model_thai_french_mm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_robert_finetune_model_thai_french_mm_pipeline_en.md
new file mode 100644
index 00000000000000..9e19da5ddac3b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_robert_finetune_model_thai_french_mm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_robert_finetune_model_thai_french_mm_pipeline pipeline XlmRoBertaForTokenClassification from zhangwenzhe
+author: John Snow Labs
+name: xlm_robert_finetune_model_thai_french_mm_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_robert_finetune_model_thai_french_mm_pipeline` is a English model originally trained by zhangwenzhe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_robert_finetune_model_thai_french_mm_pipeline_en_5.5.0_3.0_1726844575810.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_robert_finetune_model_thai_french_mm_pipeline_en_5.5.0_3.0_1726844575810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_robert_finetune_model_thai_french_mm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_robert_finetune_model_thai_french_mm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_robert_finetune_model_thai_french_mm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|773.2 MB|
+
+## References
+
+https://huggingface.co/zhangwenzhe/XLM-Robert-finetune-model-THAI-FR-MM
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_balance_vietnam_train_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_balance_vietnam_train_en.md
new file mode 100644
index 00000000000000..38fd1302459171
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_balance_vietnam_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_balance_vietnam_train XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_balance_vietnam_train
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_balance_vietnam_train` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_vietnam_train_en_5.5.0_3.0_1726865047942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_vietnam_train_en_5.5.0_3.0_1726865047942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_balance_vietnam_train|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|815.1 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Balance_VietNam-train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_balance_vietnam_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_balance_vietnam_train_pipeline_en.md
new file mode 100644
index 00000000000000..c670e77a310191
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_balance_vietnam_train_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_balance_vietnam_train_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_balance_vietnam_train_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_balance_vietnam_train_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_vietnam_train_pipeline_en_5.5.0_3.0_1726865145513.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_vietnam_train_pipeline_en_5.5.0_3.0_1726865145513.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_balance_vietnam_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_balance_vietnam_train_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_balance_vietnam_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|815.1 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Balance_VietNam-train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_english_sentweet_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_english_sentweet_sentiment_en.md
new file mode 100644
index 00000000000000..3744419373282d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_english_sentweet_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_english_sentweet_sentiment XlmRoBertaForSequenceClassification from jayanta
+author: John Snow Labs
+name: xlm_roberta_base_english_sentweet_sentiment
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_english_sentweet_sentiment` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_english_sentweet_sentiment_en_5.5.0_3.0_1726873079975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_english_sentweet_sentiment_en_5.5.0_3.0_1726873079975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_english_sentweet_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|785.8 MB|
+
+## References
+
+https://huggingface.co/jayanta/xlm-roberta-base-english-sentweet-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_english_sentweet_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_english_sentweet_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..6b58292ad25440
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_english_sentweet_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_english_sentweet_sentiment_pipeline pipeline XlmRoBertaForSequenceClassification from jayanta
+author: John Snow Labs
+name: xlm_roberta_base_english_sentweet_sentiment_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_english_sentweet_sentiment_pipeline` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_english_sentweet_sentiment_pipeline_en_5.5.0_3.0_1726873214651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_english_sentweet_sentiment_pipeline_en_5.5.0_3.0_1726873214651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_english_sentweet_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_english_sentweet_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_english_sentweet_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|785.8 MB|
+
+## References
+
+https://huggingface.co/jayanta/xlm-roberta-base-english-sentweet-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_fakenews_dravidian_nt_3e_4_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_fakenews_dravidian_nt_3e_4_en.md
new file mode 100644
index 00000000000000..d84d83c968314f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_fakenews_dravidian_nt_3e_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_fakenews_dravidian_nt_3e_4 XlmRoBertaForSequenceClassification from mdosama39
+author: John Snow Labs
+name: xlm_roberta_base_fakenews_dravidian_nt_3e_4
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_fakenews_dravidian_nt_3e_4` is a English model originally trained by mdosama39.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_fakenews_dravidian_nt_3e_4_en_5.5.0_3.0_1726873102294.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_fakenews_dravidian_nt_3e_4_en_5.5.0_3.0_1726873102294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_fakenews_dravidian_nt_3e_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|849.2 MB|
+
+## References
+
+https://huggingface.co/mdosama39/xlm-roberta-base-FakeNews-Dravidian-NT-3e-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_fakenews_dravidian_nt_3e_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_fakenews_dravidian_nt_3e_4_pipeline_en.md
new file mode 100644
index 00000000000000..d3691cc1372329
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_fakenews_dravidian_nt_3e_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_fakenews_dravidian_nt_3e_4_pipeline pipeline XlmRoBertaForSequenceClassification from mdosama39
+author: John Snow Labs
+name: xlm_roberta_base_fakenews_dravidian_nt_3e_4_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_fakenews_dravidian_nt_3e_4_pipeline` is a English model originally trained by mdosama39.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_fakenews_dravidian_nt_3e_4_pipeline_en_5.5.0_3.0_1726873163639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_fakenews_dravidian_nt_3e_4_pipeline_en_5.5.0_3.0_1726873163639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_fakenews_dravidian_nt_3e_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_fakenews_dravidian_nt_3e_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_fakenews_dravidian_nt_3e_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|849.2 MB|
+
+## References
+
+https://huggingface.co/mdosama39/xlm-roberta-base-FakeNews-Dravidian-NT-3e-4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_delete_2_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_delete_2_en.md
new file mode 100644
index 00000000000000..e0a73f791bcc66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_delete_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_final_mixed_aug_delete_2 XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_mixed_aug_delete_2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_mixed_aug_delete_2` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_delete_2_en_5.5.0_3.0_1726872384312.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_delete_2_en_5.5.0_3.0_1726872384312.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_mixed_aug_delete_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|794.8 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_Mixed-aug_delete-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_delete_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_delete_2_pipeline_en.md
new file mode 100644
index 00000000000000..4762324a2a039b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_delete_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_final_mixed_aug_delete_2_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_mixed_aug_delete_2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_mixed_aug_delete_2_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_delete_2_pipeline_en_5.5.0_3.0_1726872507134.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_delete_2_pipeline_en_5.5.0_3.0_1726872507134.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_final_mixed_aug_delete_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_final_mixed_aug_delete_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_mixed_aug_delete_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|794.8 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_Mixed-aug_delete-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_insert_w2v_2_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_insert_w2v_2_en.md
new file mode 100644
index 00000000000000..2e58ab357efbee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_insert_w2v_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_final_mixed_aug_insert_w2v_2 XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_mixed_aug_insert_w2v_2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_mixed_aug_insert_w2v_2` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_insert_w2v_2_en_5.5.0_3.0_1726872389227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_insert_w2v_2_en_5.5.0_3.0_1726872389227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_mixed_aug_insert_w2v_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|796.5 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_Mixed-aug_insert_w2v-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_insert_w2v_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_insert_w2v_2_pipeline_en.md
new file mode 100644
index 00000000000000..9574080c848608
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_final_mixed_aug_insert_w2v_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_final_mixed_aug_insert_w2v_2_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_mixed_aug_insert_w2v_2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_mixed_aug_insert_w2v_2_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_insert_w2v_2_pipeline_en_5.5.0_3.0_1726872511729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_insert_w2v_2_pipeline_en_5.5.0_3.0_1726872511729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_final_mixed_aug_insert_w2v_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_final_mixed_aug_insert_w2v_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_mixed_aug_insert_w2v_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|796.5 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_Mixed-aug_insert_w2v-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_marc_anshengmay_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_marc_anshengmay_en.md
new file mode 100644
index 00000000000000..aedb7274cecf91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_marc_anshengmay_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_marc_anshengmay XlmRoBertaForSequenceClassification from anshengmay
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_marc_anshengmay
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_marc_anshengmay` is a English model originally trained by anshengmay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_anshengmay_en_5.5.0_3.0_1726865355015.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_anshengmay_en_5.5.0_3.0_1726865355015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_marc_anshengmay|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|835.1 MB|
+
+## References
+
+https://huggingface.co/anshengmay/xlm-roberta-base-finetuned-marc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_marc_anshengmay_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_marc_anshengmay_pipeline_en.md
new file mode 100644
index 00000000000000..bf2b1260bb4f48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_marc_anshengmay_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_marc_anshengmay_pipeline pipeline XlmRoBertaForSequenceClassification from anshengmay
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_marc_anshengmay_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_marc_anshengmay_pipeline` is a English model originally trained by anshengmay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_anshengmay_pipeline_en_5.5.0_3.0_1726865436930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_anshengmay_pipeline_en_5.5.0_3.0_1726865436930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_marc_anshengmay_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_marc_anshengmay_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_marc_anshengmay_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|835.1 MB|
+
+## References
+
+https://huggingface.co/anshengmay/xlm-roberta-base-finetuned-marc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_huangjia_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_huangjia_en.md
new file mode 100644
index 00000000000000..d1b15aaf0565ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_huangjia_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_huangjia XlmRoBertaForTokenClassification from huangjia
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_huangjia
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_huangjia` is a English model originally trained by huangjia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_huangjia_en_5.5.0_3.0_1726843750806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_huangjia_en_5.5.0_3.0_1726843750806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_huangjia|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|860.9 MB|
+
+## References
+
+https://huggingface.co/huangjia/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_huangjia_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_huangjia_pipeline_en.md
new file mode 100644
index 00000000000000..16c98efda63b7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_huangjia_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_huangjia_pipeline pipeline XlmRoBertaForTokenClassification from huangjia
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_huangjia_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_huangjia_pipeline` is a English model originally trained by huangjia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_huangjia_pipeline_en_5.5.0_3.0_1726843819609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_huangjia_pipeline_en_5.5.0_3.0_1726843819609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_huangjia_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_huangjia_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_huangjia_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/huangjia/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_jaemin12_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_jaemin12_en.md
new file mode 100644
index 00000000000000..e79d856f5b073a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_jaemin12_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_jaemin12 XlmRoBertaForTokenClassification from jaemin12
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_jaemin12
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_jaemin12` is a English model originally trained by jaemin12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_jaemin12_en_5.5.0_3.0_1726844050291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_jaemin12_en_5.5.0_3.0_1726844050291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_jaemin12|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/jaemin12/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_jaemin12_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_jaemin12_pipeline_en.md
new file mode 100644
index 00000000000000..75e40c74797ada
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_jaemin12_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_jaemin12_pipeline pipeline XlmRoBertaForTokenClassification from jaemin12
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_jaemin12_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_jaemin12_pipeline` is a English model originally trained by jaemin12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_jaemin12_pipeline_en_5.5.0_3.0_1726844114149.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_jaemin12_pipeline_en_5.5.0_3.0_1726844114149.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_jaemin12_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_jaemin12_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_jaemin12_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/jaemin12/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_lee_soha_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_lee_soha_en.md
new file mode 100644
index 00000000000000..861ca4be0db6a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_all_lee_soha_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_lee_soha XlmRoBertaForTokenClassification from Lee-soha
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_lee_soha
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_lee_soha` is a English model originally trained by Lee-soha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_lee_soha_en_5.5.0_3.0_1726844508600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_lee_soha_en_5.5.0_3.0_1726844508600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_lee_soha|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|848.0 MB|
+
+## References
+
+https://huggingface.co/Lee-soha/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_english_andrew45_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_english_andrew45_en.md
new file mode 100644
index 00000000000000..6c245b7831c952
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_english_andrew45_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_andrew45 XlmRoBertaForTokenClassification from andrew45
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_andrew45
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_andrew45` is a English model originally trained by andrew45.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_andrew45_en_5.5.0_3.0_1726843382983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_andrew45_en_5.5.0_3.0_1726843382983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_andrew45|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|814.3 MB|
+
+## References
+
+https://huggingface.co/andrew45/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_french_takizawa_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_french_takizawa_en.md
new file mode 100644
index 00000000000000..20eb9ed38c69fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_french_takizawa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_takizawa XlmRoBertaForTokenClassification from takizawa
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_takizawa
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_takizawa` is a English model originally trained by takizawa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_takizawa_en_5.5.0_3.0_1726843594238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_takizawa_en_5.5.0_3.0_1726843594238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_takizawa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/takizawa/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_french_takizawa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_french_takizawa_pipeline_en.md
new file mode 100644
index 00000000000000..ea30fae4be48de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_french_takizawa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_takizawa_pipeline pipeline XlmRoBertaForTokenClassification from takizawa
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_takizawa_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_takizawa_pipeline` is a English model originally trained by takizawa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_takizawa_pipeline_en_5.5.0_3.0_1726843671871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_takizawa_pipeline_en_5.5.0_3.0_1726843671871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_takizawa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_takizawa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_takizawa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/takizawa/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_french_yurit04_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_french_yurit04_pipeline_en.md
new file mode 100644
index 00000000000000..08cbd5533f53bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_french_yurit04_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_yurit04_pipeline pipeline XlmRoBertaForTokenClassification from yurit04
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_yurit04_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_yurit04_pipeline` is a English model originally trained by yurit04.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_yurit04_pipeline_en_5.5.0_3.0_1726844200751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_yurit04_pipeline_en_5.5.0_3.0_1726844200751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_yurit04_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_yurit04_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_yurit04_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/yurit04/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_cogitur_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_cogitur_en.md
new file mode 100644
index 00000000000000..fbb00dfd7a13d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_cogitur_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_cogitur XlmRoBertaForTokenClassification from cogitur
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_cogitur
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_cogitur` is a English model originally trained by cogitur.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_cogitur_en_5.5.0_3.0_1726843253285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_cogitur_en_5.5.0_3.0_1726843253285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_cogitur|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/cogitur/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_cogitur_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_cogitur_pipeline_en.md
new file mode 100644
index 00000000000000..22dd634c647249
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_cogitur_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_cogitur_pipeline pipeline XlmRoBertaForTokenClassification from cogitur
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_cogitur_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_cogitur_pipeline` is a English model originally trained by cogitur.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_cogitur_pipeline_en_5.5.0_3.0_1726843321244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_cogitur_pipeline_en_5.5.0_3.0_1726843321244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_cogitur_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_cogitur_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_cogitur_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/cogitur/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_bennef_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_bennef_en.md
new file mode 100644
index 00000000000000..f9f4fb0adbb326
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_bennef_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_bennef XlmRoBertaForTokenClassification from BenneF
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_bennef
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_bennef` is a English model originally trained by BenneF.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_bennef_en_5.5.0_3.0_1726844717944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_bennef_en_5.5.0_3.0_1726844717944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_bennef|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/BenneF/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_bennef_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_bennef_pipeline_en.md
new file mode 100644
index 00000000000000..eb363c6075479a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_bennef_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_bennef_pipeline pipeline XlmRoBertaForTokenClassification from BenneF
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_bennef_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_bennef_pipeline` is a English model originally trained by BenneF.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_bennef_pipeline_en_5.5.0_3.0_1726844802305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_bennef_pipeline_en_5.5.0_3.0_1726844802305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_bennef_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_bennef_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_bennef_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/BenneF/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_guroruseru_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_guroruseru_en.md
new file mode 100644
index 00000000000000..b411a232b08349
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_guroruseru_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_guroruseru XlmRoBertaForTokenClassification from Guroruseru
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_guroruseru
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_guroruseru` is a English model originally trained by Guroruseru.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_guroruseru_en_5.5.0_3.0_1726843107067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_guroruseru_en_5.5.0_3.0_1726843107067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_guroruseru|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/Guroruseru/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_guroruseru_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_guroruseru_pipeline_en.md
new file mode 100644
index 00000000000000..0ab4a72d021c4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_guroruseru_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_guroruseru_pipeline pipeline XlmRoBertaForTokenClassification from Guroruseru
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_guroruseru_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_guroruseru_pipeline` is a English model originally trained by Guroruseru.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_guroruseru_pipeline_en_5.5.0_3.0_1726843172077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_guroruseru_pipeline_en_5.5.0_3.0_1726843172077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_guroruseru_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_guroruseru_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_guroruseru_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/Guroruseru/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_kenhoffman_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_kenhoffman_pipeline_en.md
new file mode 100644
index 00000000000000..dd920fb4f0491d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_kenhoffman_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_kenhoffman_pipeline pipeline XlmRoBertaForTokenClassification from kenhoffman
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_kenhoffman_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_kenhoffman_pipeline` is a English model originally trained by kenhoffman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_kenhoffman_pipeline_en_5.5.0_3.0_1726843976661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_kenhoffman_pipeline_en_5.5.0_3.0_1726843976661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_kenhoffman_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_kenhoffman_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_kenhoffman_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/kenhoffman/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_qilin1_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_qilin1_en.md
new file mode 100644
index 00000000000000..3784b1a76ca8fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_qilin1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_qilin1 XlmRoBertaForTokenClassification from qilin1
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_qilin1
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_qilin1` is a English model originally trained by qilin1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_qilin1_en_5.5.0_3.0_1726843222905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_qilin1_en_5.5.0_3.0_1726843222905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_qilin1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.6 MB|
+
+## References
+
+https://huggingface.co/qilin1/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_qilin1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_qilin1_pipeline_en.md
new file mode 100644
index 00000000000000..e133deaf8817dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_qilin1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_qilin1_pipeline pipeline XlmRoBertaForTokenClassification from qilin1
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_qilin1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_qilin1_pipeline` is a English model originally trained by qilin1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_qilin1_pipeline_en_5.5.0_3.0_1726843286319.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_qilin1_pipeline_en_5.5.0_3.0_1726843286319.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_qilin1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_qilin1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_qilin1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.7 MB|
+
+## References
+
+https://huggingface.co/qilin1/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_zardian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_zardian_pipeline_en.md
new file mode 100644
index 00000000000000..1c7cf228b506e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_french_zardian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_zardian_pipeline pipeline XlmRoBertaForTokenClassification from Zardian
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_zardian_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_zardian_pipeline` is a English model originally trained by Zardian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_zardian_pipeline_en_5.5.0_3.0_1726844336344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_zardian_pipeline_en_5.5.0_3.0_1726844336344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_zardian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_zardian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_zardian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/Zardian/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_vantaa32_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_vantaa32_pipeline_en.md
new file mode 100644
index 00000000000000..68ea90a907368a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_finetuned_panx_german_vantaa32_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_vantaa32_pipeline pipeline XlmRoBertaForTokenClassification from vantaa32
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_vantaa32_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_vantaa32_pipeline` is a English model originally trained by vantaa32.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_vantaa32_pipeline_en_5.5.0_3.0_1726843497533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_vantaa32_pipeline_en_5.5.0_3.0_1726843497533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_vantaa32_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_vantaa32_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_vantaa32_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/vantaa32/xlm-roberta-base-finetuned_panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_en.md
new file mode 100644
index 00000000000000..c10e6e61403b11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_en_5.5.0_3.0_1726872771744.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_en_5.5.0_3.0_1726872771744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|819.4 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr0.0001_seed42_basic_original_esp-kin-eng_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_pipeline_en.md
new file mode 100644
index 00000000000000..019cc369058046
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_pipeline pipeline XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_pipeline` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_pipeline_en_5.5.0_3.0_1726872897843.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_pipeline_en_5.5.0_3.0_1726872897843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr0_0001_seed42_basic_original_esp_kinyarwanda_eng_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|819.4 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr0.0001_seed42_basic_original_esp-kin-eng_train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_en.md
new file mode 100644
index 00000000000000..993bf74aaac24f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_en_5.5.0_3.0_1726873023366.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_en_5.5.0_3.0_1726873023366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|800.7 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr5e-06_seed42_kin-hau-eng_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_pipeline_en.md
new file mode 100644
index 00000000000000..739cc05b9cda19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_pipeline pipeline XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_pipeline` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_pipeline_en_5.5.0_3.0_1726873153049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_pipeline_en_5.5.0_3.0_1726873153049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr5e_06_seed42_kinyarwanda_hau_eng_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|800.7 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr5e-06_seed42_kin-hau-eng_train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_nepal_bhasa_vietnam_aug_delete_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_nepal_bhasa_vietnam_aug_delete_1_pipeline_en.md
new file mode 100644
index 00000000000000..e5ebc1c5bfe8f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_nepal_bhasa_vietnam_aug_delete_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_nepal_bhasa_vietnam_aug_delete_1_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_nepal_bhasa_vietnam_aug_delete_1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_nepal_bhasa_vietnam_aug_delete_1_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_nepal_bhasa_vietnam_aug_delete_1_pipeline_en_5.5.0_3.0_1726800595026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_nepal_bhasa_vietnam_aug_delete_1_pipeline_en_5.5.0_3.0_1726800595026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_nepal_bhasa_vietnam_aug_delete_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_nepal_bhasa_vietnam_aug_delete_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_nepal_bhasa_vietnam_aug_delete_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|793.7 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-New_VietNam-aug_delete-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_en.md
new file mode 100644
index 00000000000000..a95b7ec767c355
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1 XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_en_5.5.0_3.0_1726873212944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_en_5.5.0_3.0_1726873212944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|796.3 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-New_VietNam-aug_insert_w2v-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_pipeline_en.md
new file mode 100644
index 00000000000000..907031812bb88f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_pipeline_en_5.5.0_3.0_1726873336700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_pipeline_en_5.5.0_3.0_1726873336700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_nepal_bhasa_vietnam_aug_insert_w2v_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|796.3 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-New_VietNam-aug_insert_w2v-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_stress_identification_task_2_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_stress_identification_task_2_en.md
new file mode 100644
index 00000000000000..23267309dd09ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_stress_identification_task_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_stress_identification_task_2 XlmRoBertaForSequenceClassification from mdosama39
+author: John Snow Labs
+name: xlm_roberta_base_stress_identification_task_2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_stress_identification_task_2` is a English model originally trained by mdosama39.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_stress_identification_task_2_en_5.5.0_3.0_1726799860352.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_stress_identification_task_2_en_5.5.0_3.0_1726799860352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_stress_identification_task_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|811.2 MB|
+
+## References
+
+https://huggingface.co/mdosama39/xlm-roberta-base-Stress-identification-task-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_en.md
new file mode 100644
index 00000000000000..a2d18acf6d53bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_en_5.5.0_3.0_1726872069222.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_en_5.5.0_3.0_1726872069222.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|350.3 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-ar-10000-tweet-sentiment-ar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_pipeline_en.md
new file mode 100644
index 00000000000000..2cee1cd1867872
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_pipeline_en_5.5.0_3.0_1726872087530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_pipeline_en_5.5.0_3.0_1726872087530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_arabic_10000_tweet_sentiment_arabic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|350.3 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-ar-10000-tweet-sentiment-ar
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_en.md
new file mode 100644
index 00000000000000..b2001fcbf08db6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_arabic_30000_xnli_arabic XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_arabic_30000_xnli_arabic
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_arabic_30000_xnli_arabic` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_en_5.5.0_3.0_1726864792038.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_en_5.5.0_3.0_1726864792038.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_arabic_30000_xnli_arabic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|398.4 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-ar-30000-xnli-ar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_pipeline_en.md
new file mode 100644
index 00000000000000..5d734e79440757
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_pipeline_en_5.5.0_3.0_1726864816167.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_pipeline_en_5.5.0_3.0_1726864816167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_arabic_30000_xnli_arabic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|398.5 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-ar-30000-xnli-ar
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_french_60000_xnli_french_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_french_60000_xnli_french_en.md
new file mode 100644
index 00000000000000..086054948161b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_french_60000_xnli_french_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_french_60000_xnli_french XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_french_60000_xnli_french
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_french_60000_xnli_french` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_french_60000_xnli_french_en_5.5.0_3.0_1726865275589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_french_60000_xnli_french_en_5.5.0_3.0_1726865275589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_french_60000_xnli_french|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.3 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-fr-60000-xnli-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_french_60000_xnli_french_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_french_60000_xnli_french_pipeline_en.md
new file mode 100644
index 00000000000000..074fe30637b5bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_trimmed_french_60000_xnli_french_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_french_60000_xnli_french_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_french_60000_xnli_french_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_french_60000_xnli_french_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_french_60000_xnli_french_pipeline_en_5.5.0_3.0_1726865308589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_french_60000_xnli_french_pipeline_en_5.5.0_3.0_1726865308589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_trimmed_french_60000_xnli_french_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_trimmed_french_60000_xnli_french_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_french_60000_xnli_french_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|467.4 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-fr-60000-xnli-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_en.md
new file mode 100644
index 00000000000000..27722696d657c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000 XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_en_5.5.0_3.0_1726872132269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_en_5.5.0_3.0_1726872132269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|388.2 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-fr-trimmed-fr-30000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_pipeline_en.md
new file mode 100644
index 00000000000000..71141c6854d2fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_pipeline_en_5.5.0_3.0_1726872164141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_pipeline_en_5.5.0_3.0_1726872164141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_tweet_sentiment_french_trimmed_french_30000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|388.2 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-fr-trimmed-fr-30000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_pipeline_en.md
new file mode 100644
index 00000000000000..426f50ecff9623
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_pipeline_en_5.5.0_3.0_1726800030431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_pipeline_en_5.5.0_3.0_1726800030431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_tweet_sentiment_german_trimmed_german_10000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|350.1 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-de-trimmed-de-10000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_tweet_sentiment_spanish_trimmed_spanish_15000_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_tweet_sentiment_spanish_trimmed_spanish_15000_en.md
new file mode 100644
index 00000000000000..109f61e5c9ae86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_tweet_sentiment_spanish_trimmed_spanish_15000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_tweet_sentiment_spanish_trimmed_spanish_15000 XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_tweet_sentiment_spanish_trimmed_spanish_15000
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_tweet_sentiment_spanish_trimmed_spanish_15000` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_tweet_sentiment_spanish_trimmed_spanish_15000_en_5.5.0_3.0_1726865340704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_tweet_sentiment_spanish_trimmed_spanish_15000_en_5.5.0_3.0_1726865340704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_tweet_sentiment_spanish_trimmed_spanish_15000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|359.2 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-es-trimmed-es-15000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_xnli_german_trimmed_german_60000_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_xnli_german_trimmed_german_60000_en.md
new file mode 100644
index 00000000000000..5a8230168b40f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_xnli_german_trimmed_german_60000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_german_trimmed_german_60000 XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_german_trimmed_german_60000
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_german_trimmed_german_60000` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_german_trimmed_german_60000_en_5.5.0_3.0_1726799736990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_german_trimmed_german_60000_en_5.5.0_3.0_1726799736990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_german_trimmed_german_60000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|469.4 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-de-trimmed-de-60000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_en.md
new file mode 100644
index 00000000000000..75a8926f9a18e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_spanish_trimmed_spanish_60000 XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_spanish_trimmed_spanish_60000
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_spanish_trimmed_spanish_60000` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_en_5.5.0_3.0_1726865521273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_en_5.5.0_3.0_1726865521273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_spanish_trimmed_spanish_60000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|470.1 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-es-trimmed-es-60000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_pipeline_en.md
new file mode 100644
index 00000000000000..77109cd8028629
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_pipeline_en_5.5.0_3.0_1726865556560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_pipeline_en_5.5.0_3.0_1726865556560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_spanish_trimmed_spanish_60000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|470.2 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-es-trimmed-es-60000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_emotion_spanish_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_emotion_spanish_en.md
new file mode 100644
index 00000000000000..4fe2ca8f59f82a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_emotion_spanish_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_emotion_spanish XlmRoBertaForSequenceClassification from Cesar42
+author: John Snow Labs
+name: xlm_roberta_emotion_spanish
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_emotion_spanish` is a English model originally trained by Cesar42.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_emotion_spanish_en_5.5.0_3.0_1726865190099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_emotion_spanish_en_5.5.0_3.0_1726865190099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_emotion_spanish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/Cesar42/xlm-roberta-emotion-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_en.md
new file mode 100644
index 00000000000000..3f85917b302719
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed XlmRoBertaForSequenceClassification from Karim-Gamal
+author: John Snow Labs
+name: xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed` is a English model originally trained by Karim-Gamal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_en_5.5.0_3.0_1726846363148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_en_5.5.0_3.0_1726846363148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/Karim-Gamal/XLM-Roberta-finetuned-emojis-1-client-toxic-FedAvg-non-IID-Fed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_pipeline_en.md
new file mode 100644
index 00000000000000..d8457dbc009fc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_pipeline pipeline XlmRoBertaForSequenceClassification from Karim-Gamal
+author: John Snow Labs
+name: xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_pipeline` is a English model originally trained by Karim-Gamal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_pipeline_en_5.5.0_3.0_1726846412683.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_pipeline_en_5.5.0_3.0_1726846412683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_finetuned_emojis_1_client_toxic_fedavg_non_iid_fed_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/Karim-Gamal/XLM-Roberta-finetuned-emojis-1-client-toxic-FedAvg-non-IID-Fed
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlm_v_base_xnli_french_trimmed_french_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlm_v_base_xnli_french_trimmed_french_en.md
new file mode 100644
index 00000000000000..5d03cf1d59e9f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlm_v_base_xnli_french_trimmed_french_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_v_base_xnli_french_trimmed_french XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_v_base_xnli_french_trimmed_french
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_v_base_xnli_french_trimmed_french` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_v_base_xnli_french_trimmed_french_en_5.5.0_3.0_1726800591158.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_v_base_xnli_french_trimmed_french_en_5.5.0_3.0_1726800591158.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_v_base_xnli_french_trimmed_french|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|778.5 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-v-base-xnli-fr-trimmed-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlmr_english_chinese_train_shuffled_1986_test2000_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlmr_english_chinese_train_shuffled_1986_test2000_en.md
new file mode 100644
index 00000000000000..b5ec43e9826beb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlmr_english_chinese_train_shuffled_1986_test2000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_english_chinese_train_shuffled_1986_test2000 XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_english_chinese_train_shuffled_1986_test2000
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_english_chinese_train_shuffled_1986_test2000` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_english_chinese_train_shuffled_1986_test2000_en_5.5.0_3.0_1726865787739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_english_chinese_train_shuffled_1986_test2000_en_5.5.0_3.0_1726865787739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_english_chinese_train_shuffled_1986_test2000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|825.9 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-en-zh-train_shuffled-1986-test2000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xlmr_sinhalese_english_all_shuffled_1986_test2000_en.md b/docs/_posts/ahmedlone127/2024-09-20-xlmr_sinhalese_english_all_shuffled_1986_test2000_en.md
new file mode 100644
index 00000000000000..bcf6b858759b46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xlmr_sinhalese_english_all_shuffled_1986_test2000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_sinhalese_english_all_shuffled_1986_test2000 XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_sinhalese_english_all_shuffled_1986_test2000
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_sinhalese_english_all_shuffled_1986_test2000` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_sinhalese_english_all_shuffled_1986_test2000_en_5.5.0_3.0_1726864925595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_sinhalese_english_all_shuffled_1986_test2000_en_5.5.0_3.0_1726864925595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_sinhalese_english_all_shuffled_1986_test2000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|814.5 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-si-en-all_shuffled-1986-test2000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_english_pipeline_en.md
new file mode 100644
index 00000000000000..00745fbf79e8ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xnli_xlm_r_only_english_pipeline pipeline XlmRoBertaForSequenceClassification from semindan
+author: John Snow Labs
+name: xnli_xlm_r_only_english_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xnli_xlm_r_only_english_pipeline` is a English model originally trained by semindan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_english_pipeline_en_5.5.0_3.0_1726800691101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_english_pipeline_en_5.5.0_3.0_1726800691101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xnli_xlm_r_only_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xnli_xlm_r_only_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xnli_xlm_r_only_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|811.9 MB|
+
+## References
+
+https://huggingface.co/semindan/xnli_xlm_r_only_en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_hindi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_hindi_pipeline_en.md
new file mode 100644
index 00000000000000..416cd69a257383
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_hindi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xnli_xlm_r_only_hindi_pipeline pipeline XlmRoBertaForSequenceClassification from semindan
+author: John Snow Labs
+name: xnli_xlm_r_only_hindi_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xnli_xlm_r_only_hindi_pipeline` is a English model originally trained by semindan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_hindi_pipeline_en_5.5.0_3.0_1726845724886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_hindi_pipeline_en_5.5.0_3.0_1726845724886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xnli_xlm_r_only_hindi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xnli_xlm_r_only_hindi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xnli_xlm_r_only_hindi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|803.2 MB|
+
+## References
+
+https://huggingface.co/semindan/xnli_xlm_r_only_hi
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_spanish_en.md b/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_spanish_en.md
new file mode 100644
index 00000000000000..5a8a76b4258b74
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_spanish_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xnli_xlm_r_only_spanish XlmRoBertaForSequenceClassification from semindan
+author: John Snow Labs
+name: xnli_xlm_r_only_spanish
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xnli_xlm_r_only_spanish` is a English model originally trained by semindan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_spanish_en_5.5.0_3.0_1726865235552.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_spanish_en_5.5.0_3.0_1726865235552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xnli_xlm_r_only_spanish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|814.7 MB|
+
+## References
+
+https://huggingface.co/semindan/xnli_xlm_r_only_es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_spanish_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_spanish_pipeline_en.md
new file mode 100644
index 00000000000000..39ceb62ce048de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-xnli_xlm_r_only_spanish_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xnli_xlm_r_only_spanish_pipeline pipeline XlmRoBertaForSequenceClassification from semindan
+author: John Snow Labs
+name: xnli_xlm_r_only_spanish_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xnli_xlm_r_only_spanish_pipeline` is a English model originally trained by semindan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_spanish_pipeline_en_5.5.0_3.0_1726865361232.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xnli_xlm_r_only_spanish_pipeline_en_5.5.0_3.0_1726865361232.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xnli_xlm_r_only_spanish_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xnli_xlm_r_only_spanish_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xnli_xlm_r_only_spanish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|814.7 MB|
+
+## References
+
+https://huggingface.co/semindan/xnli_xlm_r_only_es
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-your_model_checkpoint_finetuned_your_task_en.md b/docs/_posts/ahmedlone127/2024-09-20-your_model_checkpoint_finetuned_your_task_en.md
new file mode 100644
index 00000000000000..c9c5e34fba64e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-your_model_checkpoint_finetuned_your_task_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English your_model_checkpoint_finetuned_your_task DistilBertForSequenceClassification from hanzla107
+author: John Snow Labs
+name: your_model_checkpoint_finetuned_your_task
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`your_model_checkpoint_finetuned_your_task` is a English model originally trained by hanzla107.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/your_model_checkpoint_finetuned_your_task_en_5.5.0_3.0_1726842011995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/your_model_checkpoint_finetuned_your_task_en_5.5.0_3.0_1726842011995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|your_model_checkpoint_finetuned_your_task|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hanzla107/your_model_checkpoint-finetuned-your_task
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-your_model_checkpoint_finetuned_your_task_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-your_model_checkpoint_finetuned_your_task_pipeline_en.md
new file mode 100644
index 00000000000000..344f83c1a2d06b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-your_model_checkpoint_finetuned_your_task_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English your_model_checkpoint_finetuned_your_task_pipeline pipeline DistilBertForSequenceClassification from hanzla107
+author: John Snow Labs
+name: your_model_checkpoint_finetuned_your_task_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`your_model_checkpoint_finetuned_your_task_pipeline` is a English model originally trained by hanzla107.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/your_model_checkpoint_finetuned_your_task_pipeline_en_5.5.0_3.0_1726842023984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/your_model_checkpoint_finetuned_your_task_pipeline_en_5.5.0_3.0_1726842023984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("your_model_checkpoint_finetuned_your_task_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("your_model_checkpoint_finetuned_your_task_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|your_model_checkpoint_finetuned_your_task_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hanzla107/your_model_checkpoint-finetuned-your_task
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-your_repo_name_iwaves_en.md b/docs/_posts/ahmedlone127/2024-09-20-your_repo_name_iwaves_en.md
new file mode 100644
index 00000000000000..4a6e152c357865
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-your_repo_name_iwaves_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English your_repo_name_iwaves DistilBertForSequenceClassification from Iwaves
+author: John Snow Labs
+name: your_repo_name_iwaves
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`your_repo_name_iwaves` is a English model originally trained by Iwaves.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/your_repo_name_iwaves_en_5.5.0_3.0_1726832695360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/your_repo_name_iwaves_en_5.5.0_3.0_1726832695360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|your_repo_name_iwaves|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Iwaves/your-repo-name
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-0730bert_en.md b/docs/_posts/ahmedlone127/2024-09-21-0730bert_en.md
new file mode 100644
index 00000000000000..507205b50d3148
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-0730bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 0730bert BertForSequenceClassification from ryan0218
+author: John Snow Labs
+name: 0730bert
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`0730bert` is a English model originally trained by ryan0218.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/0730bert_en_5.5.0_3.0_1726955822083.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/0730bert_en_5.5.0_3.0_1726955822083.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|0730bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ryan0218/0730Bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-0730bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-0730bert_pipeline_en.md
new file mode 100644
index 00000000000000..e0780be401f03e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-0730bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 0730bert_pipeline pipeline BertForSequenceClassification from ryan0218
+author: John Snow Labs
+name: 0730bert_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`0730bert_pipeline` is a English model originally trained by ryan0218.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/0730bert_pipeline_en_5.5.0_3.0_1726955844718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/0730bert_pipeline_en_5.5.0_3.0_1726955844718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("0730bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("0730bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|0730bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ryan0218/0730Bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-2020_q1_50p_filtered_en.md b/docs/_posts/ahmedlone127/2024-09-21-2020_q1_50p_filtered_en.md
new file mode 100644
index 00000000000000..b05759467987e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-2020_q1_50p_filtered_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2020_q1_50p_filtered RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q1_50p_filtered
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q1_50p_filtered` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q1_50p_filtered_en_5.5.0_3.0_1726934376925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q1_50p_filtered_en_5.5.0_3.0_1726934376925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q1_50p_filtered|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q1-50p-filtered
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-2020_q1_50p_filtered_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-2020_q1_50p_filtered_pipeline_en.md
new file mode 100644
index 00000000000000..dab9348d02665c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-2020_q1_50p_filtered_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2020_q1_50p_filtered_pipeline pipeline RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q1_50p_filtered_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q1_50p_filtered_pipeline` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q1_50p_filtered_pipeline_en_5.5.0_3.0_1726934397872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q1_50p_filtered_pipeline_en_5.5.0_3.0_1726934397872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2020_q1_50p_filtered_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2020_q1_50p_filtered_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q1_50p_filtered_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q1-50p-filtered
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-2020_q1_50p_filtered_random_en.md b/docs/_posts/ahmedlone127/2024-09-21-2020_q1_50p_filtered_random_en.md
new file mode 100644
index 00000000000000..591c546b55c9a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-2020_q1_50p_filtered_random_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2020_q1_50p_filtered_random RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q1_50p_filtered_random
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q1_50p_filtered_random` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q1_50p_filtered_random_en_5.5.0_3.0_1726957715846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q1_50p_filtered_random_en_5.5.0_3.0_1726957715846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q1_50p_filtered_random|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q1-50p-filtered-random
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-2020_q1_75p_filtered_random_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-2020_q1_75p_filtered_random_pipeline_en.md
new file mode 100644
index 00000000000000..9963e5580591d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-2020_q1_75p_filtered_random_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2020_q1_75p_filtered_random_pipeline pipeline RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q1_75p_filtered_random_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q1_75p_filtered_random_pipeline` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q1_75p_filtered_random_pipeline_en_5.5.0_3.0_1726958141978.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q1_75p_filtered_random_pipeline_en_5.5.0_3.0_1726958141978.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2020_q1_75p_filtered_random_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2020_q1_75p_filtered_random_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q1_75p_filtered_random_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q1-75p-filtered-random
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-2020_q3_50p_filtered_random_prog_from_q2_en.md b/docs/_posts/ahmedlone127/2024-09-21-2020_q3_50p_filtered_random_prog_from_q2_en.md
new file mode 100644
index 00000000000000..4a859d937e95fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-2020_q3_50p_filtered_random_prog_from_q2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2020_q3_50p_filtered_random_prog_from_q2 RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q3_50p_filtered_random_prog_from_q2
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q3_50p_filtered_random_prog_from_q2` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q3_50p_filtered_random_prog_from_q2_en_5.5.0_3.0_1726882061910.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q3_50p_filtered_random_prog_from_q2_en_5.5.0_3.0_1726882061910.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q3_50p_filtered_random_prog_from_q2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q3-50p-filtered-random-prog_from_Q2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-2020_q3_50p_filtered_random_prog_from_q2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-2020_q3_50p_filtered_random_prog_from_q2_pipeline_en.md
new file mode 100644
index 00000000000000..0ffa6112336f79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-2020_q3_50p_filtered_random_prog_from_q2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2020_q3_50p_filtered_random_prog_from_q2_pipeline pipeline RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q3_50p_filtered_random_prog_from_q2_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q3_50p_filtered_random_prog_from_q2_pipeline` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q3_50p_filtered_random_prog_from_q2_pipeline_en_5.5.0_3.0_1726882083858.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q3_50p_filtered_random_prog_from_q2_pipeline_en_5.5.0_3.0_1726882083858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2020_q3_50p_filtered_random_prog_from_q2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2020_q3_50p_filtered_random_prog_from_q2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q3_50p_filtered_random_prog_from_q2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q3-50p-filtered-random-prog_from_Q2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-2020_q4_50p_filtered_random_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-2020_q4_50p_filtered_random_pipeline_en.md
new file mode 100644
index 00000000000000..8c7b428422cef7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-2020_q4_50p_filtered_random_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2020_q4_50p_filtered_random_pipeline pipeline RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q4_50p_filtered_random_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`2020_q4_50p_filtered_random_pipeline` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q4_50p_filtered_random_pipeline_en_5.5.0_3.0_1726957662686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q4_50p_filtered_random_pipeline_en_5.5.0_3.0_1726957662686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2020_q4_50p_filtered_random_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2020_q4_50p_filtered_random_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q4_50p_filtered_random_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q4-50p-filtered-random
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-abcnew_en.md b/docs/_posts/ahmedlone127/2024-09-21-abcnew_en.md
new file mode 100644
index 00000000000000..4c8990c071d9a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-abcnew_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English abcnew RoBertaEmbeddings from Alemat
+author: John Snow Labs
+name: abcnew
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`abcnew` is a English model originally trained by Alemat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/abcnew_en_5.5.0_3.0_1726958031473.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/abcnew_en_5.5.0_3.0_1726958031473.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|abcnew|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|464.9 MB|
+
+## References
+
+https://huggingface.co/Alemat/abcnew
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-abcnew_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-abcnew_pipeline_en.md
new file mode 100644
index 00000000000000..3f9f984bbc1f42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-abcnew_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English abcnew_pipeline pipeline RoBertaEmbeddings from Alemat
+author: John Snow Labs
+name: abcnew_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`abcnew_pipeline` is a English model originally trained by Alemat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/abcnew_pipeline_en_5.5.0_3.0_1726958056299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/abcnew_pipeline_en_5.5.0_3.0_1726958056299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("abcnew_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("abcnew_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|abcnew_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.0 MB|
+
+## References
+
+https://huggingface.co/Alemat/abcnew
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-acrossapps_ndd_pagekit_test_content_en.md b/docs/_posts/ahmedlone127/2024-09-21-acrossapps_ndd_pagekit_test_content_en.md
new file mode 100644
index 00000000000000..8758bf9d720bfa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-acrossapps_ndd_pagekit_test_content_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English acrossapps_ndd_pagekit_test_content DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: acrossapps_ndd_pagekit_test_content
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`acrossapps_ndd_pagekit_test_content` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/acrossapps_ndd_pagekit_test_content_en_5.5.0_3.0_1726952959133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/acrossapps_ndd_pagekit_test_content_en_5.5.0_3.0_1726952959133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|acrossapps_ndd_pagekit_test_content|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/ACROSSAPPS_NDD-pagekit_test-content
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-acrossapps_ndd_pagekit_test_content_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-acrossapps_ndd_pagekit_test_content_pipeline_en.md
new file mode 100644
index 00000000000000..244901ee7e51d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-acrossapps_ndd_pagekit_test_content_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English acrossapps_ndd_pagekit_test_content_pipeline pipeline DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: acrossapps_ndd_pagekit_test_content_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`acrossapps_ndd_pagekit_test_content_pipeline` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/acrossapps_ndd_pagekit_test_content_pipeline_en_5.5.0_3.0_1726952971052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/acrossapps_ndd_pagekit_test_content_pipeline_en_5.5.0_3.0_1726952971052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("acrossapps_ndd_pagekit_test_content_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("acrossapps_ndd_pagekit_test_content_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|acrossapps_ndd_pagekit_test_content_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/ACROSSAPPS_NDD-pagekit_test-content
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-afriberta_base_finetuned_igbo_2e_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-afriberta_base_finetuned_igbo_2e_4_pipeline_en.md
new file mode 100644
index 00000000000000..27233638abbb92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-afriberta_base_finetuned_igbo_2e_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English afriberta_base_finetuned_igbo_2e_4_pipeline pipeline XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: afriberta_base_finetuned_igbo_2e_4_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afriberta_base_finetuned_igbo_2e_4_pipeline` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afriberta_base_finetuned_igbo_2e_4_pipeline_en_5.5.0_3.0_1726883689564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afriberta_base_finetuned_igbo_2e_4_pipeline_en_5.5.0_3.0_1726883689564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("afriberta_base_finetuned_igbo_2e_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("afriberta_base_finetuned_igbo_2e_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afriberta_base_finetuned_igbo_2e_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|415.3 MB|
+
+## References
+
+https://huggingface.co/grace-pro/afriberta-base-finetuned-igbo-2e-4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-afrispeech_whisper_tiny_en.md b/docs/_posts/ahmedlone127/2024-09-21-afrispeech_whisper_tiny_en.md
new file mode 100644
index 00000000000000..1ac5489b46721b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-afrispeech_whisper_tiny_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English afrispeech_whisper_tiny WhisperForCTC from kanyekuthi
+author: John Snow Labs
+name: afrispeech_whisper_tiny
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afrispeech_whisper_tiny` is a English model originally trained by kanyekuthi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afrispeech_whisper_tiny_en_5.5.0_3.0_1726904718188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afrispeech_whisper_tiny_en_5.5.0_3.0_1726904718188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afrispeech_whisper_tiny|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|391.3 MB|
+
+## References
+
+https://huggingface.co/kanyekuthi/AfriSpeech-whisper-tiny
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-afrispeech_whisper_tiny_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-afrispeech_whisper_tiny_pipeline_en.md
new file mode 100644
index 00000000000000..8b2bb711f41277
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-afrispeech_whisper_tiny_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English afrispeech_whisper_tiny_pipeline pipeline WhisperForCTC from kanyekuthi
+author: John Snow Labs
+name: afrispeech_whisper_tiny_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afrispeech_whisper_tiny_pipeline` is a English model originally trained by kanyekuthi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afrispeech_whisper_tiny_pipeline_en_5.5.0_3.0_1726904737347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afrispeech_whisper_tiny_pipeline_en_5.5.0_3.0_1726904737347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("afrispeech_whisper_tiny_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("afrispeech_whisper_tiny_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afrispeech_whisper_tiny_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|391.3 MB|
+
+## References
+
+https://huggingface.co/kanyekuthi/AfriSpeech-whisper-tiny
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-albert_model__29_2_en.md b/docs/_posts/ahmedlone127/2024-09-21-albert_model__29_2_en.md
new file mode 100644
index 00000000000000..3efc224244c462
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-albert_model__29_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_model__29_2 DistilBertForSequenceClassification from KalaiselvanD
+author: John Snow Labs
+name: albert_model__29_2
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_model__29_2` is a English model originally trained by KalaiselvanD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_model__29_2_en_5.5.0_3.0_1726953706792.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_model__29_2_en_5.5.0_3.0_1726953706792.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_qa_chinese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|58.3 MB|
+
+## References
+
+https://huggingface.co/FooJiaYin/albert-qa-chinese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-albert_qa_chinese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-albert_qa_chinese_pipeline_en.md
new file mode 100644
index 00000000000000..62f4ad8241a663
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-albert_qa_chinese_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English albert_qa_chinese_pipeline pipeline BertForQuestionAnswering from FooJiaYin
+author: John Snow Labs
+name: albert_qa_chinese_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_qa_chinese_pipeline` is a English model originally trained by FooJiaYin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_qa_chinese_pipeline_en_5.5.0_3.0_1726928683687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_qa_chinese_pipeline_en_5.5.0_3.0_1726928683687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_qa_chinese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_qa_chinese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_qa_chinese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|58.3 MB|
+
+## References
+
+https://huggingface.co/FooJiaYin/albert-qa-chinese
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-aleksis_heb_small_he.md b/docs/_posts/ahmedlone127/2024-09-21-aleksis_heb_small_he.md
new file mode 100644
index 00000000000000..1734cf6985fa14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-aleksis_heb_small_he.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hebrew aleksis_heb_small WhisperForCTC from Alex2575
+author: John Snow Labs
+name: aleksis_heb_small
+date: 2024-09-21
+tags: [he, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: he
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aleksis_heb_small` is a Hebrew model originally trained by Alex2575.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aleksis_heb_small_he_5.5.0_3.0_1726947648816.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aleksis_heb_small_he_5.5.0_3.0_1726947648816.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aleksis_heb_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|he|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Alex2575/aleksis_heb_small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-all_roberta_large_v1_kitchen_and_dining_6_16_5_en.md b/docs/_posts/ahmedlone127/2024-09-21-all_roberta_large_v1_kitchen_and_dining_6_16_5_en.md
new file mode 100644
index 00000000000000..068b8277d32448
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-all_roberta_large_v1_kitchen_and_dining_6_16_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_kitchen_and_dining_6_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_kitchen_and_dining_6_16_5
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_kitchen_and_dining_6_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_kitchen_and_dining_6_16_5_en_5.5.0_3.0_1726900132408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_kitchen_and_dining_6_16_5_en_5.5.0_3.0_1726900132408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_kitchen_and_dining_6_16_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-kitchen_and_dining-6-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-all_roberta_large_v1_kitchen_and_dining_6_16_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-all_roberta_large_v1_kitchen_and_dining_6_16_5_pipeline_en.md
new file mode 100644
index 00000000000000..4e40b85166cafa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-all_roberta_large_v1_kitchen_and_dining_6_16_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_kitchen_and_dining_6_16_5_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_kitchen_and_dining_6_16_5_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_kitchen_and_dining_6_16_5_pipeline` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_kitchen_and_dining_6_16_5_pipeline_en_5.5.0_3.0_1726900194480.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_kitchen_and_dining_6_16_5_pipeline_en_5.5.0_3.0_1726900194480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_roberta_large_v1_kitchen_and_dining_6_16_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_kitchen_and_dining_6_16_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_kitchen_and_dining_6_16_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-kitchen_and_dining-6-16-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-amazon_topical_chat_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-21-amazon_topical_chat_sentiment_en.md
new file mode 100644
index 00000000000000..a4585dc78146c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-amazon_topical_chat_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English amazon_topical_chat_sentiment DistilBertForSequenceClassification from reichenbach
+author: John Snow Labs
+name: amazon_topical_chat_sentiment
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_topical_chat_sentiment` is a English model originally trained by reichenbach.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_topical_chat_sentiment_en_5.5.0_3.0_1726889129674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_topical_chat_sentiment_en_5.5.0_3.0_1726889129674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_topical_chat_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/reichenbach/amazon_topical_chat_sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-angry_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-angry_pipeline_en.md
new file mode 100644
index 00000000000000..6662a1613c2316
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-angry_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English angry_pipeline pipeline RoBertaEmbeddings from MatthijsN
+author: John Snow Labs
+name: angry_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`angry_pipeline` is a English model originally trained by MatthijsN.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/angry_pipeline_en_5.5.0_3.0_1726942728859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/angry_pipeline_en_5.5.0_3.0_1726942728859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("angry_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("angry_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|angry_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/MatthijsN/angry
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-arabicbert_arabic_dialect_identification_ar.md b/docs/_posts/ahmedlone127/2024-09-21-arabicbert_arabic_dialect_identification_ar.md
new file mode 100644
index 00000000000000..d214e50197eb85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-arabicbert_arabic_dialect_identification_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic arabicbert_arabic_dialect_identification BertForSequenceClassification from lafifi-24
+author: John Snow Labs
+name: arabicbert_arabic_dialect_identification
+date: 2024-09-21
+tags: [ar, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arabicbert_arabic_dialect_identification` is a Arabic model originally trained by lafifi-24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabicbert_arabic_dialect_identification_ar_5.5.0_3.0_1726954747998.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabicbert_arabic_dialect_identification_ar_5.5.0_3.0_1726954747998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabicbert_arabic_dialect_identification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ar|
+|Size:|414.3 MB|
+
+## References
+
+https://huggingface.co/lafifi-24/arabicBert_arabic_dialect_identification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-arabicbert_arabic_dialect_identification_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-21-arabicbert_arabic_dialect_identification_pipeline_ar.md
new file mode 100644
index 00000000000000..4cb20e5e51c270
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-arabicbert_arabic_dialect_identification_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic arabicbert_arabic_dialect_identification_pipeline pipeline BertForSequenceClassification from lafifi-24
+author: John Snow Labs
+name: arabicbert_arabic_dialect_identification_pipeline
+date: 2024-09-21
+tags: [ar, open_source, pipeline, onnx]
+task: Text Classification
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arabicbert_arabic_dialect_identification_pipeline` is a Arabic model originally trained by lafifi-24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabicbert_arabic_dialect_identification_pipeline_ar_5.5.0_3.0_1726954767946.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabicbert_arabic_dialect_identification_pipeline_ar_5.5.0_3.0_1726954767946.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("arabicbert_arabic_dialect_identification_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("arabicbert_arabic_dialect_identification_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabicbert_arabic_dialect_identification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|414.3 MB|
+
+## References
+
+https://huggingface.co/lafifi-24/arabicBert_arabic_dialect_identification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_en.md b/docs/_posts/ahmedlone127/2024-09-21-ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_en.md
new file mode 100644
index 00000000000000..37106d9a6b5543
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed RoBertaForSequenceClassification from farzanrahmani
+author: John Snow Labs
+name: ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed` is a English model originally trained by farzanrahmani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_en_5.5.0_3.0_1726900362872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_en_5.5.0_3.0_1726900362872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|492.0 MB|
+
+## References
+
+https://huggingface.co/farzanrahmani/AriaBERT_finetuned_digimag_Epoch_6_lr_2e_5_freezed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_pipeline_en.md
new file mode 100644
index 00000000000000..806130182eb595
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_pipeline pipeline RoBertaForSequenceClassification from farzanrahmani
+author: John Snow Labs
+name: ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_pipeline` is a English model originally trained by farzanrahmani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_pipeline_en_5.5.0_3.0_1726900385927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_pipeline_en_5.5.0_3.0_1726900385927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ariabert_finetuned_digimag_epoch_6_lr_2e_5_freezed_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|492.0 MB|
+
+## References
+
+https://huggingface.co/farzanrahmani/AriaBERT_finetuned_digimag_Epoch_6_lr_2e_5_freezed
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-asr_id.md b/docs/_posts/ahmedlone127/2024-09-21-asr_id.md
new file mode 100644
index 00000000000000..0f6462ac4c7e1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-asr_id.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Indonesian asr WhisperForCTC from yusufagung29
+author: John Snow Labs
+name: asr
+date: 2024-09-21
+tags: [id, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asr` is a Indonesian model originally trained by yusufagung29.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asr_id_5.5.0_3.0_1726912255269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asr_id_5.5.0_3.0_1726912255269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|id|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/yusufagung29/asr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-asr_iot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-asr_iot_pipeline_en.md
new file mode 100644
index 00000000000000..af7449b782ae0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-asr_iot_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English asr_iot_pipeline pipeline WhisperForCTC from Phong1807
+author: John Snow Labs
+name: asr_iot_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asr_iot_pipeline` is a English model originally trained by Phong1807.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asr_iot_pipeline_en_5.5.0_3.0_1726911065446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asr_iot_pipeline_en_5.5.0_3.0_1726911065446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("asr_iot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("asr_iot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asr_iot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Phong1807/ASR_IoT
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-asr_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-21-asr_pipeline_id.md
new file mode 100644
index 00000000000000..5d14c2ae1584ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-asr_pipeline_id.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Indonesian asr_pipeline pipeline WhisperForCTC from yusufagung29
+author: John Snow Labs
+name: asr_pipeline
+date: 2024-09-21
+tags: [id, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asr_pipeline` is a Indonesian model originally trained by yusufagung29.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asr_pipeline_id_5.5.0_3.0_1726912553487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asr_pipeline_id_5.5.0_3.0_1726912553487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("asr_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("asr_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/yusufagung29/asr
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-autotrain_5um8a_sa81u_en.md b/docs/_posts/ahmedlone127/2024-09-21-autotrain_5um8a_sa81u_en.md
new file mode 100644
index 00000000000000..56e3d14a36acc4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-autotrain_5um8a_sa81u_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autotrain_5um8a_sa81u DistilBertForSequenceClassification from karthikrathod
+author: John Snow Labs
+name: autotrain_5um8a_sa81u
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_5um8a_sa81u` is a English model originally trained by karthikrathod.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_5um8a_sa81u_en_5.5.0_3.0_1726888596665.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_5um8a_sa81u_en_5.5.0_3.0_1726888596665.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_5um8a_sa81u|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/karthikrathod/autotrain-5um8a-sa81u
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-autotrain_5um8a_sa81u_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-autotrain_5um8a_sa81u_pipeline_en.md
new file mode 100644
index 00000000000000..58c935156033f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-autotrain_5um8a_sa81u_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_5um8a_sa81u_pipeline pipeline DistilBertForSequenceClassification from karthikrathod
+author: John Snow Labs
+name: autotrain_5um8a_sa81u_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_5um8a_sa81u_pipeline` is a English model originally trained by karthikrathod.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_5um8a_sa81u_pipeline_en_5.5.0_3.0_1726888613991.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_5um8a_sa81u_pipeline_en_5.5.0_3.0_1726888613991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_5um8a_sa81u_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_5um8a_sa81u_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_5um8a_sa81u_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/karthikrathod/autotrain-5um8a-sa81u
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-autotrain_intent_classification_6categories_roberta_89129143858_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-autotrain_intent_classification_6categories_roberta_89129143858_pipeline_en.md
new file mode 100644
index 00000000000000..f6a9b29cf1f51a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-autotrain_intent_classification_6categories_roberta_89129143858_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_intent_classification_6categories_roberta_89129143858_pipeline pipeline XlmRoBertaForSequenceClassification from yeye776
+author: John Snow Labs
+name: autotrain_intent_classification_6categories_roberta_89129143858_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_intent_classification_6categories_roberta_89129143858_pipeline` is a English model originally trained by yeye776.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_intent_classification_6categories_roberta_89129143858_pipeline_en_5.5.0_3.0_1726932637016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_intent_classification_6categories_roberta_89129143858_pipeline_en_5.5.0_3.0_1726932637016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_intent_classification_6categories_roberta_89129143858_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_intent_classification_6categories_roberta_89129143858_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_intent_classification_6categories_roberta_89129143858_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|770.2 MB|
+
+## References
+
+https://huggingface.co/yeye776/autotrain-intent-classification-6categories-roberta-89129143858
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-autotrain_model_datasaur_nzfmymy2nzu_owy1njq2zjk_en.md b/docs/_posts/ahmedlone127/2024-09-21-autotrain_model_datasaur_nzfmymy2nzu_owy1njq2zjk_en.md
new file mode 100644
index 00000000000000..fdd45794a45f46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-autotrain_model_datasaur_nzfmymy2nzu_owy1njq2zjk_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autotrain_model_datasaur_nzfmymy2nzu_owy1njq2zjk BertForSequenceClassification from Saripudin
+author: John Snow Labs
+name: autotrain_model_datasaur_nzfmymy2nzu_owy1njq2zjk
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_model_datasaur_nzfmymy2nzu_owy1njq2zjk` is a English model originally trained by Saripudin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_model_datasaur_nzfmymy2nzu_owy1njq2zjk_en_5.5.0_3.0_1726956239230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_model_datasaur_nzfmymy2nzu_owy1njq2zjk_en_5.5.0_3.0_1726956239230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_model_datasaur_nzfmymy2nzu_owy1njq2zjk|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Saripudin/autotrain-model-datasaur-NzFmYmY2NzU-OWY1NjQ2Zjk
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-autotrain_tes2_en.md b/docs/_posts/ahmedlone127/2024-09-21-autotrain_tes2_en.md
new file mode 100644
index 00000000000000..bd2803d0682d17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-autotrain_tes2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autotrain_tes2 RoBertaForSequenceClassification from vuk123
+author: John Snow Labs
+name: autotrain_tes2
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_tes2` is a English model originally trained by vuk123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_tes2_en_5.5.0_3.0_1726900059409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_tes2_en_5.5.0_3.0_1726900059409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_tes2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|418.8 MB|
+
+## References
+
+https://huggingface.co/vuk123/autotrain-tes2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-banking77_distilbert_jidhu_mohan_en.md b/docs/_posts/ahmedlone127/2024-09-21-banking77_distilbert_jidhu_mohan_en.md
new file mode 100644
index 00000000000000..b890f48eeedaf7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-banking77_distilbert_jidhu_mohan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English banking77_distilbert_jidhu_mohan DistilBertForSequenceClassification from jidhu-mohan
+author: John Snow Labs
+name: banking77_distilbert_jidhu_mohan
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`banking77_distilbert_jidhu_mohan` is a English model originally trained by jidhu-mohan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/banking77_distilbert_jidhu_mohan_en_5.5.0_3.0_1726924185100.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/banking77_distilbert_jidhu_mohan_en_5.5.0_3.0_1726924185100.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_english_combined_v4_2_0_1_16_1e_06_balmy_sweep_40|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|646.2 MB|
+
+## References
+
+https://huggingface.co/saahith/base.en-combined_v4-2-0.1-16-1e-06-balmy-sweep-40
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-base_english_combined_v4_2_0_1_16_1e_06_balmy_sweep_40_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-base_english_combined_v4_2_0_1_16_1e_06_balmy_sweep_40_pipeline_en.md
new file mode 100644
index 00000000000000..4d4af16534383f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-base_english_combined_v4_2_0_1_16_1e_06_balmy_sweep_40_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English base_english_combined_v4_2_0_1_16_1e_06_balmy_sweep_40_pipeline pipeline WhisperForCTC from saahith
+author: John Snow Labs
+name: base_english_combined_v4_2_0_1_16_1e_06_balmy_sweep_40_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`base_english_combined_v4_2_0_1_16_1e_06_balmy_sweep_40_pipeline` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_english_combined_v4_2_0_1_16_1e_06_balmy_sweep_40_pipeline_en_5.5.0_3.0_1726878283355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_english_combined_v4_2_0_1_16_1e_06_balmy_sweep_40_pipeline_en_5.5.0_3.0_1726878283355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("base_english_combined_v4_2_0_1_16_1e_06_balmy_sweep_40_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("base_english_combined_v4_2_0_1_16_1e_06_balmy_sweep_40_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_english_combined_v4_2_0_1_16_1e_06_balmy_sweep_40_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|646.2 MB|
+
+## References
+
+https://huggingface.co/saahith/base.en-combined_v4-2-0.1-16-1e-06-balmy-sweep-40
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-base_english_combined_v4_4_0_8_1e_05_divine_sweep_17_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-base_english_combined_v4_4_0_8_1e_05_divine_sweep_17_pipeline_en.md
new file mode 100644
index 00000000000000..fe314a7f2ddf9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-base_english_combined_v4_4_0_8_1e_05_divine_sweep_17_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English base_english_combined_v4_4_0_8_1e_05_divine_sweep_17_pipeline pipeline WhisperForCTC from saahith
+author: John Snow Labs
+name: base_english_combined_v4_4_0_8_1e_05_divine_sweep_17_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`base_english_combined_v4_4_0_8_1e_05_divine_sweep_17_pipeline` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_english_combined_v4_4_0_8_1e_05_divine_sweep_17_pipeline_en_5.5.0_3.0_1726960744722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_english_combined_v4_4_0_8_1e_05_divine_sweep_17_pipeline_en_5.5.0_3.0_1726960744722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("base_english_combined_v4_4_0_8_1e_05_divine_sweep_17_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("base_english_combined_v4_4_0_8_1e_05_divine_sweep_17_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_english_combined_v4_4_0_8_1e_05_divine_sweep_17_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|646.6 MB|
+
+## References
+
+https://huggingface.co/saahith/base.en-combined_v4-4-0-8-1e-05-divine-sweep-17
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_en.md b/docs/_posts/ahmedlone127/2024-09-21-base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_en.md
new file mode 100644
index 00000000000000..0771e81fd739d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11 WhisperForCTC from saahith
+author: John Snow Labs
+name: base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_en_5.5.0_3.0_1726909036448.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_en_5.5.0_3.0_1726909036448.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|646.4 MB|
+
+## References
+
+https://huggingface.co/saahith/base.en-final-combined-2-0.1-8-1e-05-radiant-sweep-11
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_pipeline_en.md
new file mode 100644
index 00000000000000..0d448990014109
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_pipeline pipeline WhisperForCTC from saahith
+author: John Snow Labs
+name: base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_pipeline` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_pipeline_en_5.5.0_3.0_1726909066495.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_pipeline_en_5.5.0_3.0_1726909066495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_english_final_combined_2_0_1_8_1e_05_radiant_sweep_11_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|646.5 MB|
+
+## References
+
+https://huggingface.co/saahith/base.en-final-combined-2-0.1-8-1e-05-radiant-sweep-11
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-base_english_final_combined_2_0_8_1e_05_balmy_sweep_1_en.md b/docs/_posts/ahmedlone127/2024-09-21-base_english_final_combined_2_0_8_1e_05_balmy_sweep_1_en.md
new file mode 100644
index 00000000000000..51f15d2bbc0e5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-base_english_final_combined_2_0_8_1e_05_balmy_sweep_1_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English base_english_final_combined_2_0_8_1e_05_balmy_sweep_1 WhisperForCTC from saahith
+author: John Snow Labs
+name: base_english_final_combined_2_0_8_1e_05_balmy_sweep_1
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`base_english_final_combined_2_0_8_1e_05_balmy_sweep_1` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_english_final_combined_2_0_8_1e_05_balmy_sweep_1_en_5.5.0_3.0_1726950024504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_english_final_combined_2_0_8_1e_05_balmy_sweep_1_en_5.5.0_3.0_1726950024504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_english_final_combined_2_0_8_1e_05_pretty_sweep_7|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|646.4 MB|
+
+## References
+
+https://huggingface.co/saahith/base.en-final-combined-2-0-8-1e-05-pretty-sweep-7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-base_english_final_combined_2_0_8_1e_05_pretty_sweep_7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-base_english_final_combined_2_0_8_1e_05_pretty_sweep_7_pipeline_en.md
new file mode 100644
index 00000000000000..961d92de52fe27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-base_english_final_combined_2_0_8_1e_05_pretty_sweep_7_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English base_english_final_combined_2_0_8_1e_05_pretty_sweep_7_pipeline pipeline WhisperForCTC from saahith
+author: John Snow Labs
+name: base_english_final_combined_2_0_8_1e_05_pretty_sweep_7_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`base_english_final_combined_2_0_8_1e_05_pretty_sweep_7_pipeline` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_english_final_combined_2_0_8_1e_05_pretty_sweep_7_pipeline_en_5.5.0_3.0_1726905323189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_english_final_combined_2_0_8_1e_05_pretty_sweep_7_pipeline_en_5.5.0_3.0_1726905323189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("base_english_final_combined_2_0_8_1e_05_pretty_sweep_7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("base_english_final_combined_2_0_8_1e_05_pretty_sweep_7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_english_final_combined_2_0_8_1e_05_pretty_sweep_7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|646.4 MB|
+
+## References
+
+https://huggingface.co/saahith/base.en-final-combined-2-0-8-1e-05-pretty-sweep-7
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bengali_whisper_base_bn.md b/docs/_posts/ahmedlone127/2024-09-21-bengali_whisper_base_bn.md
new file mode 100644
index 00000000000000..feb91c9af7f455
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bengali_whisper_base_bn.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Bengali bengali_whisper_base WhisperForCTC from emon-j
+author: John Snow Labs
+name: bengali_whisper_base
+date: 2024-09-21
+tags: [bn, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: bn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bengali_whisper_base` is a Bengali model originally trained by emon-j.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bengali_whisper_base_bn_5.5.0_3.0_1726906138544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bengali_whisper_base_bn_5.5.0_3.0_1726906138544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bengali_whisper_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|bn|
+|Size:|642.0 MB|
+
+## References
+
+https://huggingface.co/emon-j/Bengali-Whisper-Base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_210_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_210_en.md
new file mode 100644
index 00000000000000..30b263ba9bb290
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_210_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_210 DistilBertForSequenceClassification from DRAGOO
+author: John Snow Labs
+name: bert_210
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_210` is a English model originally trained by DRAGOO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_210_en_5.5.0_3.0_1726924033899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_210_en_5.5.0_3.0_1726924033899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_210|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.1 MB|
+
+## References
+
+https://huggingface.co/DRAGOO/bert_210
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_210_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_210_pipeline_en.md
new file mode 100644
index 00000000000000..4de64252ac095d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_210_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_210_pipeline pipeline DistilBertForSequenceClassification from DRAGOO
+author: John Snow Labs
+name: bert_210_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_210_pipeline` is a English model originally trained by DRAGOO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_210_pipeline_en_5.5.0_3.0_1726924046839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_210_pipeline_en_5.5.0_3.0_1726924046839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_210_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_210_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_210_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|250.1 MB|
+
+## References
+
+https://huggingface.co/DRAGOO/bert_210
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_imdb2_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_imdb2_en.md
new file mode 100644
index 00000000000000..bda3a382cece53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_imdb2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_imdb2 BertForSequenceClassification from Vishwas1
+author: John Snow Labs
+name: bert_base_imdb2
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_imdb2` is a English model originally trained by Vishwas1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_imdb2_en_5.5.0_3.0_1726925538448.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_imdb2_en_5.5.0_3.0_1726925538448.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_imdb2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Vishwas1/bert-base-imdb2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_imdb2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_imdb2_pipeline_en.md
new file mode 100644
index 00000000000000..be9f71c6c969c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_imdb2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_imdb2_pipeline pipeline BertForSequenceClassification from Vishwas1
+author: John Snow Labs
+name: bert_base_imdb2_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_imdb2_pipeline` is a English model originally trained by Vishwas1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_imdb2_pipeline_en_5.5.0_3.0_1726925556975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_imdb2_pipeline_en_5.5.0_3.0_1726925556975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_imdb2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_imdb2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_imdb2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Vishwas1/bert-base-imdb2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_multilingual_cased_0_8_finetuned_squad_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_multilingual_cased_0_8_finetuned_squad_pipeline_xx.md
new file mode 100644
index 00000000000000..da1b4843dc8984
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_multilingual_cased_0_8_finetuned_squad_pipeline_xx.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Multilingual bert_base_multilingual_cased_0_8_finetuned_squad_pipeline pipeline BertForQuestionAnswering from alikanakar
+author: John Snow Labs
+name: bert_base_multilingual_cased_0_8_finetuned_squad_pipeline
+date: 2024-09-21
+tags: [xx, open_source, pipeline, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_multilingual_cased_0_8_finetuned_squad_pipeline` is a Multilingual model originally trained by alikanakar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_0_8_finetuned_squad_pipeline_xx_5.5.0_3.0_1726947005890.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_0_8_finetuned_squad_pipeline_xx_5.5.0_3.0_1726947005890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_multilingual_cased_0_8_finetuned_squad_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_multilingual_cased_0_8_finetuned_squad_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_cased_0_8_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/alikanakar/bert-base-multilingual-cased-0_8-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_multilingual_cased_0_8_finetuned_squad_xx.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_multilingual_cased_0_8_finetuned_squad_xx.md
new file mode 100644
index 00000000000000..4b55d44c46638a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_multilingual_cased_0_8_finetuned_squad_xx.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: Multilingual bert_base_multilingual_cased_0_8_finetuned_squad BertForQuestionAnswering from alikanakar
+author: John Snow Labs
+name: bert_base_multilingual_cased_0_8_finetuned_squad
+date: 2024-09-21
+tags: [xx, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_multilingual_cased_0_8_finetuned_squad` is a Multilingual model originally trained by alikanakar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_0_8_finetuned_squad_xx_5.5.0_3.0_1726946975588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_0_8_finetuned_squad_xx_5.5.0_3.0_1726946975588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_420240915021306|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.420240915021306
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_squad_v1_1_portuguese_ibama_v0_420240915021306_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_squad_v1_1_portuguese_ibama_v0_420240915021306_pipeline_en.md
new file mode 100644
index 00000000000000..576880bef1f4a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_squad_v1_1_portuguese_ibama_v0_420240915021306_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_squad_v1_1_portuguese_ibama_v0_420240915021306_pipeline pipeline BertForQuestionAnswering from alcalazans
+author: John Snow Labs
+name: bert_base_squad_v1_1_portuguese_ibama_v0_420240915021306_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_squad_v1_1_portuguese_ibama_v0_420240915021306_pipeline` is a English model originally trained by alcalazans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_420240915021306_pipeline_en_5.5.0_3.0_1726922212218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_420240915021306_pipeline_en_5.5.0_3.0_1726922212218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_420240915021306_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_420240915021306_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_420240915021306_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.420240915021306
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_squad_v1_1_portuguese_ibama_v0_420240915122818_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_squad_v1_1_portuguese_ibama_v0_420240915122818_pipeline_en.md
new file mode 100644
index 00000000000000..4c50ea9f7808c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_squad_v1_1_portuguese_ibama_v0_420240915122818_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_squad_v1_1_portuguese_ibama_v0_420240915122818_pipeline pipeline BertForQuestionAnswering from alcalazans
+author: John Snow Labs
+name: bert_base_squad_v1_1_portuguese_ibama_v0_420240915122818_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_squad_v1_1_portuguese_ibama_v0_420240915122818_pipeline` is a English model originally trained by alcalazans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_420240915122818_pipeline_en_5.5.0_3.0_1726929027327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_squad_v1_1_portuguese_ibama_v0_420240915122818_pipeline_en_5.5.0_3.0_1726929027327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_420240915122818_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_squad_v1_1_portuguese_ibama_v0_420240915122818_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_squad_v1_1_portuguese_ibama_v0_420240915122818_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/alcalazans/bert-base-squad-v1.1-pt-IBAMA_v0.420240915122818
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_en.md
new file mode 100644
index 00000000000000..1fe97aa3005e66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000
+date: 2024-09-21
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_en_5.5.0_3.0_1726947179597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_en_5.5.0_3.0_1726947179597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-10.0-b-32-lr-1.2e-06-dp-0.3-ss-0-st-False-fh-False-hs-1000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_pipeline_en.md
new file mode 100644
index 00000000000000..dba36334a5b55d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_pipeline_en_5.5.0_3.0_1726947198546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_pipeline_en_5.5.0_3.0_1726947198546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_10_0_b_32_lr_1_2e_06_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_1000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-10.0-b-32-lr-1.2e-06-dp-0.3-ss-0-st-False-fh-False-hs-1000
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_ep_1_56_b_8_lr_4e_07_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_400_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_ep_1_56_b_8_lr_4e_07_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_400_en.md
new file mode 100644
index 00000000000000..e828696ccc2f7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_ep_1_56_b_8_lr_4e_07_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_400_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_ep_1_56_b_8_lr_4e_07_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_400 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_1_56_b_8_lr_4e_07_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_400
+date: 2024-09-21
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_1_56_b_8_lr_4e_07_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_400` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_56_b_8_lr_4e_07_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_400_en_5.5.0_3.0_1726947192551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_56_b_8_lr_4e_07_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_400_en_5.5.0_3.0_1726947192551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_0_southern_sotho_false_fh_false_hs_100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-1.0-lr-1e-06-wd-0.001-dp-0.2-ss-0-st-False-fh-False-hs-100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_0_southern_sotho_false_fh_false_hs_100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_0_southern_sotho_false_fh_false_hs_100_pipeline_en.md
new file mode 100644
index 00000000000000..8b03de129d7f05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_0_southern_sotho_false_fh_false_hs_100_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_0_southern_sotho_false_fh_false_hs_100_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_0_southern_sotho_false_fh_false_hs_100_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_0_southern_sotho_false_fh_false_hs_100_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_0_southern_sotho_false_fh_false_hs_100_pipeline_en_5.5.0_3.0_1726946592664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_0_southern_sotho_false_fh_false_hs_100_pipeline_en_5.5.0_3.0_1726946592664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_0_southern_sotho_false_fh_false_hs_100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_0_southern_sotho_false_fh_false_hs_100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_1_0_lr_1e_06_wd_0_001_dp_0_2_swati_0_southern_sotho_false_fh_false_hs_100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-1.0-lr-1e-06-wd-0.001-dp-0.2-ss-0-st-False-fh-False-hs-100
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_1_0_lr_8e_07_wd_0_08_dp_0_6_swati_20_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_1_0_lr_8e_07_wd_0_08_dp_0_6_swati_20_pipeline_en.md
new file mode 100644
index 00000000000000..b27be263542012
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_1_0_lr_8e_07_wd_0_08_dp_0_6_swati_20_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_1_0_lr_8e_07_wd_0_08_dp_0_6_swati_20_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_1_0_lr_8e_07_wd_0_08_dp_0_6_swati_20_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_1_0_lr_8e_07_wd_0_08_dp_0_6_swati_20_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_8e_07_wd_0_08_dp_0_6_swati_20_pipeline_en_5.5.0_3.0_1726946344313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_8e_07_wd_0_08_dp_0_6_swati_20_pipeline_en_5.5.0_3.0_1726946344313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_0_lr_8e_07_wd_0_08_dp_0_6_swati_20_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_0_lr_8e_07_wd_0_08_dp_0_6_swati_20_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_1_0_lr_8e_07_wd_0_08_dp_0_6_swati_20_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-1.0-lr-8e-07-wd-0.08-dp-0.6-ss-20
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_1_87_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_500_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_1_87_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_500_pipeline_en.md
new file mode 100644
index 00000000000000..2746abfbd649af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_1_87_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_500_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_1_87_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_500_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_1_87_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_500_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_1_87_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_500_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_87_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_500_pipeline_en_5.5.0_3.0_1726946638698.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_87_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_500_pipeline_en_5.5.0_3.0_1726946638698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_87_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_500_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_87_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_500_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_1_87_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_500_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-1.87-lr-4e-07-wd-1e-05-dp-1.0-ss-0-st-False-fh-False-hs-500
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_en.md
new file mode 100644
index 00000000000000..336be0aab09ed3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0
+date: 2024-09-21
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_en_5.5.0_3.0_1726946351971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_en_5.5.0_3.0_1726946351971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-2.0-lr-1e-05-wd-0.001-dp-0.01-ss-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_pipeline_en.md
new file mode 100644
index 00000000000000..dab30618ae58bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_pipeline_en_5.5.0_3.0_1726946370602.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_pipeline_en_5.5.0_3.0_1726946370602.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_2_0_lr_1e_05_wd_0_001_dp_0_01_swati_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-2.0-lr-1e-05-wd-0.001-dp-0.01-ss-0
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_en.md
new file mode 100644
index 00000000000000..30a3884bc51e5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true
+date: 2024-09-21
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_en_5.5.0_3.0_1726946682393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_en_5.5.0_3.0_1726946682393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-2.0-lr-1e-06-wd-0.001-dp-0.8-ss-0-st-True-fh-True
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_pipeline_en.md
new file mode 100644
index 00000000000000..f3a120a0129ed3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_pipeline_en_5.5.0_3.0_1726946701420.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_pipeline_en_5.5.0_3.0_1726946701420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_2_0_lr_1e_06_wd_0_001_dp_0_8_swati_0_southern_sotho_true_fh_true_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-2.0-lr-1e-06-wd-0.001-dp-0.8-ss-0-st-True-fh-True
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_en.md
new file mode 100644
index 00000000000000..1fdc219b050c68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800
+date: 2024-09-21
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_en_5.5.0_3.0_1726946458174.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_en_5.5.0_3.0_1726946458174.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-3.44-lr-4e-07-wd-1e-05-dp-1.0-ss-0-st-False-fh-False-hs-800
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_pipeline_en.md
new file mode 100644
index 00000000000000..34377362b59e83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_pipeline_en_5.5.0_3.0_1726946477206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_pipeline_en_5.5.0_3.0_1726946477206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_3_44_lr_4e_07_wd_1e_05_dp_1_0_swati_0_southern_sotho_false_fh_false_hs_800_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-3.44-lr-4e-07-wd-1e-05-dp-1.0-ss-0-st-False-fh-False-hs-800
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_mrpc_serjssv_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_mrpc_serjssv_en.md
new file mode 100644
index 00000000000000..e4297e72bf0dc1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_mrpc_serjssv_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_mrpc_serjssv BertForSequenceClassification from Serjssv
+author: John Snow Labs
+name: bert_base_uncased_mrpc_serjssv
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mrpc_serjssv` is a English model originally trained by Serjssv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_serjssv_en_5.5.0_3.0_1726954966664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_serjssv_en_5.5.0_3.0_1726954966664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mrpc_serjssv|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Serjssv/bert-base-uncased-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_mrpc_serjssv_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_mrpc_serjssv_pipeline_en.md
new file mode 100644
index 00000000000000..87f7f41a8936bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_mrpc_serjssv_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_mrpc_serjssv_pipeline pipeline BertForSequenceClassification from Serjssv
+author: John Snow Labs
+name: bert_base_uncased_mrpc_serjssv_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mrpc_serjssv_pipeline` is a English model originally trained by Serjssv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_serjssv_pipeline_en_5.5.0_3.0_1726954985709.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_serjssv_pipeline_en_5.5.0_3.0_1726954985709.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_mrpc_serjssv_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_mrpc_serjssv_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mrpc_serjssv_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Serjssv/bert-base-uncased-mrpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_newscategoryclassification_fullmodel_2_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_newscategoryclassification_fullmodel_2_en.md
new file mode 100644
index 00000000000000..e19c8829a87de0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_newscategoryclassification_fullmodel_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_newscategoryclassification_fullmodel_2 DistilBertForSequenceClassification from akashmaggon
+author: John Snow Labs
+name: bert_base_uncased_newscategoryclassification_fullmodel_2
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_newscategoryclassification_fullmodel_2` is a English model originally trained by akashmaggon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_fullmodel_2_en_5.5.0_3.0_1726953044175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_fullmodel_2_en_5.5.0_3.0_1726953044175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_newscategoryclassification_fullmodel_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/akashmaggon/bert-base-uncased-newscategoryclassification-fullmodel-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_newscategoryclassification_fullmodel_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_newscategoryclassification_fullmodel_2_pipeline_en.md
new file mode 100644
index 00000000000000..2b8820c6869091
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_newscategoryclassification_fullmodel_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_newscategoryclassification_fullmodel_2_pipeline pipeline DistilBertForSequenceClassification from akashmaggon
+author: John Snow Labs
+name: bert_base_uncased_newscategoryclassification_fullmodel_2_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_newscategoryclassification_fullmodel_2_pipeline` is a English model originally trained by akashmaggon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_fullmodel_2_pipeline_en_5.5.0_3.0_1726953056432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_fullmodel_2_pipeline_en_5.5.0_3.0_1726953056432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_newscategoryclassification_fullmodel_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_newscategoryclassification_fullmodel_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_newscategoryclassification_fullmodel_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/akashmaggon/bert-base-uncased-newscategoryclassification-fullmodel-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_token_itr0_0_0001_all_01_03_2022_04_48_27_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_token_itr0_0_0001_all_01_03_2022_04_48_27_en.md
new file mode 100644
index 00000000000000..62c2b8c7993f98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_token_itr0_0_0001_all_01_03_2022_04_48_27_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_token_itr0_0_0001_all_01_03_2022_04_48_27 BertForTokenClassification from ali2066
+author: John Snow Labs
+name: bert_base_uncased_token_itr0_0_0001_all_01_03_2022_04_48_27
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_token_itr0_0_0001_all_01_03_2022_04_48_27` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_token_itr0_0_0001_all_01_03_2022_04_48_27_en_5.5.0_3.0_1726889341266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_token_itr0_0_0001_all_01_03_2022_04_48_27_en_5.5.0_3.0_1726889341266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classifier_bert_base_multilingual_uncased_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.7 MB|
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_distilled_multi_teacher_model_random_mind_epoch7_alpha0_8_refined_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_distilled_multi_teacher_model_random_mind_epoch7_alpha0_8_refined_en.md
new file mode 100644
index 00000000000000..ebd63bbad3a3ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_distilled_multi_teacher_model_random_mind_epoch7_alpha0_8_refined_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_distilled_multi_teacher_model_random_mind_epoch7_alpha0_8_refined DistilBertForSequenceClassification from ArafatBHossain
+author: John Snow Labs
+name: bert_distilled_multi_teacher_model_random_mind_epoch7_alpha0_8_refined
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_distilled_multi_teacher_model_random_mind_epoch7_alpha0_8_refined` is a English model originally trained by ArafatBHossain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_distilled_multi_teacher_model_random_mind_epoch7_alpha0_8_refined_en_5.5.0_3.0_1726953055560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_distilled_multi_teacher_model_random_mind_epoch7_alpha0_8_refined_en_5.5.0_3.0_1726953055560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_distilled_multi_teacher_model_random_mind_epoch7_alpha0_8_refined|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ArafatBHossain/bert-distilled-multi_teacher_model_random_mind_epoch7_alpha0.8_refined
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_job_recommendation_model_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_job_recommendation_model_en.md
new file mode 100644
index 00000000000000..0d99e0e4582a4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_job_recommendation_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_job_recommendation_model BertForSequenceClassification from vanninh2101
+author: John Snow Labs
+name: bert_job_recommendation_model
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_job_recommendation_model` is a English model originally trained by vanninh2101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_job_recommendation_model_en_5.5.0_3.0_1726955973230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_job_recommendation_model_en_5.5.0_3.0_1726955973230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_job_recommendation_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.3 MB|
+
+## References
+
+https://huggingface.co/vanninh2101/bert_job_recommendation_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_job_recommendation_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_job_recommendation_model_pipeline_en.md
new file mode 100644
index 00000000000000..5b1633523c0d48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_job_recommendation_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_job_recommendation_model_pipeline pipeline BertForSequenceClassification from vanninh2101
+author: John Snow Labs
+name: bert_job_recommendation_model_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_job_recommendation_model_pipeline` is a English model originally trained by vanninh2101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_job_recommendation_model_pipeline_en_5.5.0_3.0_1726955993908.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_job_recommendation_model_pipeline_en_5.5.0_3.0_1726955993908.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_job_recommendation_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_job_recommendation_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_job_recommendation_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.3 MB|
+
+## References
+
+https://huggingface.co/vanninh2101/bert_job_recommendation_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_large_cased_squad_model2_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_large_cased_squad_model2_en.md
new file mode 100644
index 00000000000000..56f8b7a22951f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_large_cased_squad_model2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_large_cased_squad_model2 BertForQuestionAnswering from varun-v-rao
+author: John Snow Labs
+name: bert_large_cased_squad_model2
+date: 2024-09-21
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_cased_squad_model2` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_squad_model2_en_5.5.0_3.0_1726946820562.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_squad_model2_en_5.5.0_3.0_1726946820562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_squad_model2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/varun-v-rao/bert-large-cased-squad-model2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_large_finetuned_tqa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_large_finetuned_tqa_pipeline_en.md
new file mode 100644
index 00000000000000..057bddd366db8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_large_finetuned_tqa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_large_finetuned_tqa_pipeline pipeline BertForQuestionAnswering from tvsharish
+author: John Snow Labs
+name: bert_large_finetuned_tqa_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_finetuned_tqa_pipeline` is a English model originally trained by tvsharish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_finetuned_tqa_pipeline_en_5.5.0_3.0_1726946603968.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_finetuned_tqa_pipeline_en_5.5.0_3.0_1726946603968.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_finetuned_tqa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_finetuned_tqa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_finetuned_tqa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tvsharish/bert-large-finetuned-tqa
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_large_uncased_finetuned_squad_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_large_uncased_finetuned_squad_v2_pipeline_en.md
new file mode 100644
index 00000000000000..2a124bd1c26b5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_large_uncased_finetuned_squad_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_large_uncased_finetuned_squad_v2_pipeline pipeline BertForQuestionAnswering from ALOQAS
+author: John Snow Labs
+name: bert_large_uncased_finetuned_squad_v2_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_finetuned_squad_v2_pipeline` is a English model originally trained by ALOQAS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_squad_v2_pipeline_en_5.5.0_3.0_1726946750705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_squad_v2_pipeline_en_5.5.0_3.0_1726946750705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_finetuned_squad_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_finetuned_squad_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_finetuned_squad_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ALOQAS/bert-large-uncased-finetuned-squad-v2
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_mini_mnli_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_mini_mnli_en.md
new file mode 100644
index 00000000000000..6f0fbfe993f157
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_mini_mnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_mini_mnli BertForSequenceClassification from prajjwal1
+author: John Snow Labs
+name: bert_mini_mnli
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mini_mnli` is a English model originally trained by prajjwal1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mini_mnli_en_5.5.0_3.0_1726902229482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mini_mnli_en_5.5.0_3.0_1726902229482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mini_mnli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|42.1 MB|
+
+## References
+
+https://huggingface.co/prajjwal1/bert-mini-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_mini_mnli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_mini_mnli_pipeline_en.md
new file mode 100644
index 00000000000000..63c928457fc076
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_mini_mnli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_mini_mnli_pipeline pipeline BertForSequenceClassification from prajjwal1
+author: John Snow Labs
+name: bert_mini_mnli_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mini_mnli_pipeline` is a English model originally trained by prajjwal1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mini_mnli_pipeline_en_5.5.0_3.0_1726902231735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mini_mnli_pipeline_en_5.5.0_3.0_1726902231735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_mini_mnli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_mini_mnli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mini_mnli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|42.1 MB|
+
+## References
+
+https://huggingface.co/prajjwal1/bert-mini-mnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_multi_turkish_tweet_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-21-bert_multi_turkish_tweet_pipeline_tr.md
new file mode 100644
index 00000000000000..654e32f768533d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_multi_turkish_tweet_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish bert_multi_turkish_tweet_pipeline pipeline BertForSequenceClassification from anilguven
+author: John Snow Labs
+name: bert_multi_turkish_tweet_pipeline
+date: 2024-09-21
+tags: [tr, open_source, pipeline, onnx]
+task: Text Classification
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_multi_turkish_tweet_pipeline` is a Turkish model originally trained by anilguven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_multi_turkish_tweet_pipeline_tr_5.5.0_3.0_1726902415063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_multi_turkish_tweet_pipeline_tr_5.5.0_3.0_1726902415063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_multi_turkish_tweet_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_multi_turkish_tweet_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_multi_turkish_tweet_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/anilguven/bert_multi_turkish_tweet
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_multi_turkish_tweet_tr.md b/docs/_posts/ahmedlone127/2024-09-21-bert_multi_turkish_tweet_tr.md
new file mode 100644
index 00000000000000..9b8879c3a0040f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_multi_turkish_tweet_tr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Turkish bert_multi_turkish_tweet BertForSequenceClassification from anilguven
+author: John Snow Labs
+name: bert_multi_turkish_tweet
+date: 2024-09-21
+tags: [tr, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_multi_turkish_tweet` is a Turkish model originally trained by anilguven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_multi_turkish_tweet_tr_5.5.0_3.0_1726902385804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_multi_turkish_tweet_tr_5.5.0_3.0_1726902385804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_multilingual_nature|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/sue123456/bert-multilingual-nature
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_rtgender_opgender_annotations_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_rtgender_opgender_annotations_en.md
new file mode 100644
index 00000000000000..55e8771a8d3a10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_rtgender_opgender_annotations_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_rtgender_opgender_annotations BertForSequenceClassification from Cameron
+author: John Snow Labs
+name: bert_rtgender_opgender_annotations
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_rtgender_opgender_annotations` is a English model originally trained by Cameron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_rtgender_opgender_annotations_en_5.5.0_3.0_1726956591257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_rtgender_opgender_annotations_en_5.5.0_3.0_1726956591257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_rtgender_opgender_annotations|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Cameron/BERT-rtgender-opgender-annotations
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_rtgender_opgender_annotations_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_rtgender_opgender_annotations_pipeline_en.md
new file mode 100644
index 00000000000000..118ab0914dbfa8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_rtgender_opgender_annotations_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_rtgender_opgender_annotations_pipeline pipeline BertForSequenceClassification from Cameron
+author: John Snow Labs
+name: bert_rtgender_opgender_annotations_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_rtgender_opgender_annotations_pipeline` is a English model originally trained by Cameron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_rtgender_opgender_annotations_pipeline_en_5.5.0_3.0_1726956610302.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_rtgender_opgender_annotations_pipeline_en_5.5.0_3.0_1726956610302.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_rtgender_opgender_annotations_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_rtgender_opgender_annotations_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_rtgender_opgender_annotations_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Cameron/BERT-rtgender-opgender-annotations
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_vllm_gemma2b_llmoversight_0_5_nodropsus_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_vllm_gemma2b_llmoversight_0_5_nodropsus_1_pipeline_en.md
new file mode 100644
index 00000000000000..e04a51324170e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_vllm_gemma2b_llmoversight_0_5_nodropsus_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_vllm_gemma2b_llmoversight_0_5_nodropsus_1_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: bert_vllm_gemma2b_llmoversight_0_5_nodropsus_1_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_vllm_gemma2b_llmoversight_0_5_nodropsus_1_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_llmoversight_0_5_nodropsus_1_pipeline_en_5.5.0_3.0_1726953561042.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_llmoversight_0_5_nodropsus_1_pipeline_en_5.5.0_3.0_1726953561042.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_vllm_gemma2b_llmoversight_0_5_nodropsus_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_vllm_gemma2b_llmoversight_0_5_nodropsus_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_vllm_gemma2b_llmoversight_0_5_nodropsus_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/BERT_vllm-gemma2b-llmOversight-0.5-noDropSus_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bertouch_en.md b/docs/_posts/ahmedlone127/2024-09-21-bertouch_en.md
new file mode 100644
index 00000000000000..855295e62e68ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bertouch_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bertouch BertForSequenceClassification from AbderrahmanSkiredj1
+author: John Snow Labs
+name: bertouch
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertouch` is a English model originally trained by AbderrahmanSkiredj1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertouch_en_5.5.0_3.0_1726954946471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertouch_en_5.5.0_3.0_1726954946471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertouch|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.3 MB|
+
+## References
+
+https://huggingface.co/AbderrahmanSkiredj1/BERTouch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bertouch_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bertouch_pipeline_en.md
new file mode 100644
index 00000000000000..0b13191a848571
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bertouch_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bertouch_pipeline pipeline BertForSequenceClassification from AbderrahmanSkiredj1
+author: John Snow Labs
+name: bertouch_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertouch_pipeline` is a English model originally trained by AbderrahmanSkiredj1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertouch_pipeline_en_5.5.0_3.0_1726954969814.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertouch_pipeline_en_5.5.0_3.0_1726954969814.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bertouch_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertouch_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertouch_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.4 MB|
+
+## References
+
+https://huggingface.co/AbderrahmanSkiredj1/BERTouch
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-berturk_earthquake_tweets_classification_en.md b/docs/_posts/ahmedlone127/2024-09-21-berturk_earthquake_tweets_classification_en.md
new file mode 100644
index 00000000000000..dda949b2e134f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-berturk_earthquake_tweets_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English berturk_earthquake_tweets_classification BertForSequenceClassification from yhaslan
+author: John Snow Labs
+name: berturk_earthquake_tweets_classification
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`berturk_earthquake_tweets_classification` is a English model originally trained by yhaslan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berturk_earthquake_tweets_classification_en_5.5.0_3.0_1726955822332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berturk_earthquake_tweets_classification_en_5.5.0_3.0_1726955822332.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertweet_large_reddit_gab_16000sample|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/HPL/bertweet-large-reddit-gab-16000sample
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-brwac_v1_2__checkpoint_8_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-brwac_v1_2__checkpoint_8_pipeline_en.md
new file mode 100644
index 00000000000000..82dddfa545aeb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-brwac_v1_2__checkpoint_8_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English brwac_v1_2__checkpoint_8_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: brwac_v1_2__checkpoint_8_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`brwac_v1_2__checkpoint_8_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/brwac_v1_2__checkpoint_8_pipeline_en_5.5.0_3.0_1726942690545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/brwac_v1_2__checkpoint_8_pipeline_en_5.5.0_3.0_1726942690545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("brwac_v1_2__checkpoint_8_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("brwac_v1_2__checkpoint_8_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|brwac_v1_2__checkpoint_8_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|298.4 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/brwac_v1_2__checkpoint_8
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-brwac_v1_3__checkpoint_last_en.md b/docs/_posts/ahmedlone127/2024-09-21-brwac_v1_3__checkpoint_last_en.md
new file mode 100644
index 00000000000000..cb14f083793de3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-brwac_v1_3__checkpoint_last_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English brwac_v1_3__checkpoint_last RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: brwac_v1_3__checkpoint_last
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`brwac_v1_3__checkpoint_last` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/brwac_v1_3__checkpoint_last_en_5.5.0_3.0_1726943523628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/brwac_v1_3__checkpoint_last_en_5.5.0_3.0_1726943523628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_chunwoolee0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/chunwoolee0/my_awesome_eli5_mlm_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_chunwoolee0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_chunwoolee0_pipeline_en.md
new file mode 100644
index 00000000000000..a06b26ba5ec9eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_chunwoolee0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_chunwoolee0_pipeline pipeline RoBertaEmbeddings from chunwoolee0
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_chunwoolee0_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_chunwoolee0_pipeline` is a English model originally trained by chunwoolee0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_chunwoolee0_pipeline_en_5.5.0_3.0_1726957688046.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_chunwoolee0_pipeline_en_5.5.0_3.0_1726957688046.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_eli5_mlm_model_chunwoolee0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_chunwoolee0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_chunwoolee0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/chunwoolee0/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_jaiiiiii_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_jaiiiiii_pipeline_en.md
new file mode 100644
index 00000000000000..9aca11f509c482
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_jaiiiiii_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_jaiiiiii_pipeline pipeline RoBertaEmbeddings from Jaiiiiii
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_jaiiiiii_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_jaiiiiii_pipeline` is a English model originally trained by Jaiiiiii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_jaiiiiii_pipeline_en_5.5.0_3.0_1726943746270.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_jaiiiiii_pipeline_en_5.5.0_3.0_1726943746270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_eli5_mlm_model_jaiiiiii_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_jaiiiiii_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_jaiiiiii_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.3 MB|
+
+## References
+
+https://huggingface.co/Jaiiiiii/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_skotha_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_skotha_en.md
new file mode 100644
index 00000000000000..1400ee9d44a980
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_skotha_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_skotha RoBertaEmbeddings from skotha
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_skotha
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_skotha` is a English model originally trained by skotha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_skotha_en_5.5.0_3.0_1726934226103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_skotha_en_5.5.0_3.0_1726934226103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_skotha|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/skotha/my_awesome_eli5_mlm_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_vulture_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_vulture_pipeline_en.md
new file mode 100644
index 00000000000000..4dd638a385eeb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_eli5_mlm_model_vulture_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_vulture_pipeline pipeline RoBertaEmbeddings from vulture
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_vulture_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_vulture_pipeline` is a English model originally trained by vulture.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_vulture_pipeline_en_5.5.0_3.0_1726934258765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_vulture_pipeline_en_5.5.0_3.0_1726934258765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_eli5_mlm_model_vulture_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_vulture_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_vulture_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/vulture/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model2_amv146_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model2_amv146_pipeline_en.md
new file mode 100644
index 00000000000000..78baf0cf09d1b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model2_amv146_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model2_amv146_pipeline pipeline DistilBertForSequenceClassification from amv146
+author: John Snow Labs
+name: burmese_awesome_model2_amv146_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model2_amv146_pipeline` is a English model originally trained by amv146.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model2_amv146_pipeline_en_5.5.0_3.0_1726888943028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model2_amv146_pipeline_en_5.5.0_3.0_1726888943028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model2_amv146_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model2_amv146_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model2_amv146_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/amv146/my_awesome_model2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_5cean_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_5cean_en.md
new file mode 100644
index 00000000000000..13017edb7b16d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_5cean_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_5cean DistilBertForSequenceClassification from 5cean
+author: John Snow Labs
+name: burmese_awesome_model_5cean
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_5cean` is a English model originally trained by 5cean.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_5cean_en_5.5.0_3.0_1726953461564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_5cean_en_5.5.0_3.0_1726953461564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_5cean|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/5cean/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_catbult_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_catbult_en.md
new file mode 100644
index 00000000000000..6666a849f40bf9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_catbult_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_catbult DistilBertForSequenceClassification from catbult
+author: John Snow Labs
+name: burmese_awesome_model_catbult
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_catbult` is a English model originally trained by catbult.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_catbult_en_5.5.0_3.0_1726953276609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_catbult_en_5.5.0_3.0_1726953276609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_catbult|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/catbult/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_catbult_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_catbult_pipeline_en.md
new file mode 100644
index 00000000000000..6f1b7ee0182461
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_catbult_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_catbult_pipeline pipeline DistilBertForSequenceClassification from catbult
+author: John Snow Labs
+name: burmese_awesome_model_catbult_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_catbult_pipeline` is a English model originally trained by catbult.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_catbult_pipeline_en_5.5.0_3.0_1726953289116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_catbult_pipeline_en_5.5.0_3.0_1726953289116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_catbult_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_catbult_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_catbult_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/catbult/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_ilanpar_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_ilanpar_en.md
new file mode 100644
index 00000000000000..d817070c069c5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_ilanpar_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_ilanpar DistilBertForSequenceClassification from ilanPar
+author: John Snow Labs
+name: burmese_awesome_model_ilanpar
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ilanpar` is a English model originally trained by ilanPar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ilanpar_en_5.5.0_3.0_1726953059247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ilanpar_en_5.5.0_3.0_1726953059247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_ilanpar|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ilanPar/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_maggiezhang_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_maggiezhang_en.md
new file mode 100644
index 00000000000000..aed51cd747707a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_maggiezhang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_maggiezhang DistilBertForSequenceClassification from MaggieZhang
+author: John Snow Labs
+name: burmese_awesome_model_maggiezhang
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_maggiezhang` is a English model originally trained by MaggieZhang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_maggiezhang_en_5.5.0_3.0_1726884550680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_maggiezhang_en_5.5.0_3.0_1726884550680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_maggiezhang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MaggieZhang/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_maggiezhang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_maggiezhang_pipeline_en.md
new file mode 100644
index 00000000000000..f3982dfd5148f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_maggiezhang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_maggiezhang_pipeline pipeline DistilBertForSequenceClassification from MaggieZhang
+author: John Snow Labs
+name: burmese_awesome_model_maggiezhang_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_maggiezhang_pipeline` is a English model originally trained by MaggieZhang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_maggiezhang_pipeline_en_5.5.0_3.0_1726884562560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_maggiezhang_pipeline_en_5.5.0_3.0_1726884562560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_maggiezhang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_maggiezhang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_maggiezhang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MaggieZhang/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_rozzacreat_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_rozzacreat_en.md
new file mode 100644
index 00000000000000..f72186a920d5e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_rozzacreat_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_rozzacreat DistilBertForSequenceClassification from RozzaCreat
+author: John Snow Labs
+name: burmese_awesome_model_rozzacreat
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_rozzacreat` is a English model originally trained by RozzaCreat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_rozzacreat_en_5.5.0_3.0_1726884740846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_rozzacreat_en_5.5.0_3.0_1726884740846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_rozzacreat|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RozzaCreat/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_rozzacreat_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_rozzacreat_pipeline_en.md
new file mode 100644
index 00000000000000..69417c88ca137a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_rozzacreat_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_rozzacreat_pipeline pipeline DistilBertForSequenceClassification from RozzaCreat
+author: John Snow Labs
+name: burmese_awesome_model_rozzacreat_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_rozzacreat_pipeline` is a English model originally trained by RozzaCreat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_rozzacreat_pipeline_en_5.5.0_3.0_1726884753556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_rozzacreat_pipeline_en_5.5.0_3.0_1726884753556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_rozzacreat_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_rozzacreat_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_rozzacreat_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RozzaCreat/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_tjspross_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_tjspross_en.md
new file mode 100644
index 00000000000000..5f3459d772a4cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_tjspross_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_tjspross DistilBertForSequenceClassification from tjspross
+author: John Snow Labs
+name: burmese_awesome_model_tjspross
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_tjspross` is a English model originally trained by tjspross.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tjspross_en_5.5.0_3.0_1726953106447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tjspross_en_5.5.0_3.0_1726953106447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_tjspross|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tjspross/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_tjspross_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_tjspross_pipeline_en.md
new file mode 100644
index 00000000000000..22dbf07d64765e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_tjspross_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_tjspross_pipeline pipeline DistilBertForSequenceClassification from tjspross
+author: John Snow Labs
+name: burmese_awesome_model_tjspross_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_tjspross_pipeline` is a English model originally trained by tjspross.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tjspross_pipeline_en_5.5.0_3.0_1726953118519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tjspross_pipeline_en_5.5.0_3.0_1726953118519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_tjspross_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_tjspross_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_tjspross_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tjspross/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_tomchristensen474_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_tomchristensen474_en.md
new file mode 100644
index 00000000000000..2607c1ad9f62a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_awesome_model_tomchristensen474_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_tomchristensen474 DistilBertForSequenceClassification from TomChristensen474
+author: John Snow Labs
+name: burmese_awesome_model_tomchristensen474
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_tomchristensen474` is a English model originally trained by TomChristensen474.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tomchristensen474_en_5.5.0_3.0_1726924004582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tomchristensen474_en_5.5.0_3.0_1726924004582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_bert_question_answering_model3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Ashkh0099/my-bert-question-answering-model3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_bert_question_answering_model3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_bert_question_answering_model3_pipeline_en.md
new file mode 100644
index 00000000000000..12047dbafa9de1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_bert_question_answering_model3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_bert_question_answering_model3_pipeline pipeline BertForQuestionAnswering from Ashkh0099
+author: John Snow Labs
+name: burmese_bert_question_answering_model3_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_bert_question_answering_model3_pipeline` is a English model originally trained by Ashkh0099.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_bert_question_answering_model3_pipeline_en_5.5.0_3.0_1726921754492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_bert_question_answering_model3_pipeline_en_5.5.0_3.0_1726921754492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_bert_question_answering_model3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_bert_question_answering_model3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_bert_question_answering_model3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Ashkh0099/my-bert-question-answering-model3
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_distilbert_imdb_model_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_distilbert_imdb_model_en.md
new file mode 100644
index 00000000000000..10c517060cde58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_distilbert_imdb_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_distilbert_imdb_model DistilBertForSequenceClassification from chaseme
+author: John Snow Labs
+name: burmese_distilbert_imdb_model
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_distilbert_imdb_model` is a English model originally trained by chaseme.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_distilbert_imdb_model_en_5.5.0_3.0_1726923712543.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_distilbert_imdb_model_en_5.5.0_3.0_1726923712543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_distilbert_imdb_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chaseme/my_distilbert_imdb_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-burmese_distilbert_imdb_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-burmese_distilbert_imdb_model_pipeline_en.md
new file mode 100644
index 00000000000000..cc9a33e7124b06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-burmese_distilbert_imdb_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_distilbert_imdb_model_pipeline pipeline DistilBertForSequenceClassification from chaseme
+author: John Snow Labs
+name: burmese_distilbert_imdb_model_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_distilbert_imdb_model_pipeline` is a English model originally trained by chaseme.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_distilbert_imdb_model_pipeline_en_5.5.0_3.0_1726923727382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_distilbert_imdb_model_pipeline_en_5.5.0_3.0_1726923727382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_distilbert_imdb_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_distilbert_imdb_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_distilbert_imdb_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chaseme/my_distilbert_imdb_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-cagbert_base_fl32_checkpoint_15852_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-21-cagbert_base_fl32_checkpoint_15852_pipeline_de.md
new file mode 100644
index 00000000000000..f148d68e3ae028
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-cagbert_base_fl32_checkpoint_15852_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German cagbert_base_fl32_checkpoint_15852_pipeline pipeline BertForTokenClassification from MSey
+author: John Snow Labs
+name: cagbert_base_fl32_checkpoint_15852_pipeline
+date: 2024-09-21
+tags: [de, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cagbert_base_fl32_checkpoint_15852_pipeline` is a German model originally trained by MSey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cagbert_base_fl32_checkpoint_15852_pipeline_de_5.5.0_3.0_1726890061211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cagbert_base_fl32_checkpoint_15852_pipeline_de_5.5.0_3.0_1726890061211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cagbert_base_fl32_checkpoint_15852_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cagbert_base_fl32_checkpoint_15852_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cagbert_base_fl32_checkpoint_15852_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|409.8 MB|
+
+## References
+
+https://huggingface.co/MSey/CaGBERT-base_fl32_checkpoint-15852
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-camembert_base_fr.md b/docs/_posts/ahmedlone127/2024-09-21-camembert_base_fr.md
new file mode 100644
index 00000000000000..44b5b6e3ba6dc4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-camembert_base_fr.md
@@ -0,0 +1,92 @@
+---
+layout: model
+title: CamemBERT Base Model
+author: John Snow Labs
+name: camembert_base
+date: 2024-09-21
+tags: [fr, french, embeddings, camembert, base, open_source, onnx, openvino]
+task: Embeddings
+language: fr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: openvino
+annotator: CamemBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+[CamemBERT](https://arxiv.org/abs/1911.03894) is a state-of-the-art language model for French based on the RoBERTa model.
+For further information or requests, please go to [Camembert Website](https://camembert-model.fr/)
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/camembert_base_fr_5.5.0_3.0_1726906183343.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/camembert_base_fr_5.5.0_3.0_1726906183343.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|case_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LahiruProjects/case-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-centerpartisan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-centerpartisan_pipeline_en.md
new file mode 100644
index 00000000000000..6f41ab3c4c6550
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-centerpartisan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English centerpartisan_pipeline pipeline DistilBertForSequenceClassification from spencerh
+author: John Snow Labs
+name: centerpartisan_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`centerpartisan_pipeline` is a English model originally trained by spencerh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/centerpartisan_pipeline_en_5.5.0_3.0_1726884480148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/centerpartisan_pipeline_en_5.5.0_3.0_1726884480148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("centerpartisan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("centerpartisan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|centerpartisan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/spencerh/centerpartisan
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-clas_0_en.md b/docs/_posts/ahmedlone127/2024-09-21-clas_0_en.md
new file mode 100644
index 00000000000000..c3eaf25b172387
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-clas_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English clas_0 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: clas_0
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clas_0` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clas_0_en_5.5.0_3.0_1726900777696.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clas_0_en_5.5.0_3.0_1726900777696.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clas_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/BaronSch/Clas_0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-clas_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-clas_0_pipeline_en.md
new file mode 100644
index 00000000000000..843ae3f19bbe31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-clas_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English clas_0_pipeline pipeline RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: clas_0_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clas_0_pipeline` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clas_0_pipeline_en_5.5.0_3.0_1726900799685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clas_0_pipeline_en_5.5.0_3.0_1726900799685.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("clas_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("clas_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clas_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/BaronSch/Clas_0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-clasificadorcorreosoportedistilespanol_dataser_en.md b/docs/_posts/ahmedlone127/2024-09-21-clasificadorcorreosoportedistilespanol_dataser_en.md
new file mode 100644
index 00000000000000..6a92a67e6b2a6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-clasificadorcorreosoportedistilespanol_dataser_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English clasificadorcorreosoportedistilespanol_dataser DistilBertForSequenceClassification from Arodrigo
+author: John Snow Labs
+name: clasificadorcorreosoportedistilespanol_dataser
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clasificadorcorreosoportedistilespanol_dataser` is a English model originally trained by Arodrigo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clasificadorcorreosoportedistilespanol_dataser_en_5.5.0_3.0_1726884564724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clasificadorcorreosoportedistilespanol_dataser_en_5.5.0_3.0_1726884564724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clasificadorcorreosoportedistilespanol_dataser|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|252.4 MB|
+
+## References
+
+https://huggingface.co/Arodrigo/ClasificadorCorreoSoporteDistilEspanol-dataser
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-clasificadorcorreosoportedistilespanol_dataser_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-clasificadorcorreosoportedistilespanol_dataser_pipeline_en.md
new file mode 100644
index 00000000000000..3afda0e7ba90c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-clasificadorcorreosoportedistilespanol_dataser_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English clasificadorcorreosoportedistilespanol_dataser_pipeline pipeline DistilBertForSequenceClassification from Arodrigo
+author: John Snow Labs
+name: clasificadorcorreosoportedistilespanol_dataser_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clasificadorcorreosoportedistilespanol_dataser_pipeline` is a English model originally trained by Arodrigo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clasificadorcorreosoportedistilespanol_dataser_pipeline_en_5.5.0_3.0_1726884577971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clasificadorcorreosoportedistilespanol_dataser_pipeline_en_5.5.0_3.0_1726884577971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("clasificadorcorreosoportedistilespanol_dataser_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("clasificadorcorreosoportedistilespanol_dataser_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clasificadorcorreosoportedistilespanol_dataser_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|252.5 MB|
+
+## References
+
+https://huggingface.co/Arodrigo/ClasificadorCorreoSoporteDistilEspanol-dataser
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-climate_percentage_regression_en.md b/docs/_posts/ahmedlone127/2024-09-21-climate_percentage_regression_en.md
new file mode 100644
index 00000000000000..7fce82be6fb9a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-climate_percentage_regression_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English climate_percentage_regression BertForSequenceClassification from alex-miller
+author: John Snow Labs
+name: climate_percentage_regression
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`climate_percentage_regression` is a English model originally trained by alex-miller.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/climate_percentage_regression_en_5.5.0_3.0_1726925930088.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/climate_percentage_regression_en_5.5.0_3.0_1726925930088.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|climate_percentage_regression|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|630.9 MB|
+
+## References
+
+https://huggingface.co/alex-miller/climate-percentage-regression
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-climate_percentage_regression_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-climate_percentage_regression_pipeline_en.md
new file mode 100644
index 00000000000000..a42e872cd3c625
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-climate_percentage_regression_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English climate_percentage_regression_pipeline pipeline BertForSequenceClassification from alex-miller
+author: John Snow Labs
+name: climate_percentage_regression_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`climate_percentage_regression_pipeline` is a English model originally trained by alex-miller.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/climate_percentage_regression_pipeline_en_5.5.0_3.0_1726925959682.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/climate_percentage_regression_pipeline_en_5.5.0_3.0_1726925959682.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("climate_percentage_regression_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("climate_percentage_regression_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|climate_percentage_regression_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|630.9 MB|
+
+## References
+
+https://huggingface.co/alex-miller/climate-percentage-regression
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-clinicalbert_aci_bench_section_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-21-clinicalbert_aci_bench_section_classifier_en.md
new file mode 100644
index 00000000000000..ea5f7648af726d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-clinicalbert_aci_bench_section_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English clinicalbert_aci_bench_section_classifier DistilBertForSequenceClassification from dhananjay2912
+author: John Snow Labs
+name: clinicalbert_aci_bench_section_classifier
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clinicalbert_aci_bench_section_classifier` is a English model originally trained by dhananjay2912.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinicalbert_aci_bench_section_classifier_en_5.5.0_3.0_1726953088971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinicalbert_aci_bench_section_classifier_en_5.5.0_3.0_1726953088971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinicalbert_aci_bench_section_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/dhananjay2912/clinicalbert_aci_bench_section_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-clinicalbert_aci_bench_section_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-clinicalbert_aci_bench_section_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..cc466e3ae197c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-clinicalbert_aci_bench_section_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English clinicalbert_aci_bench_section_classifier_pipeline pipeline DistilBertForSequenceClassification from dhananjay2912
+author: John Snow Labs
+name: clinicalbert_aci_bench_section_classifier_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clinicalbert_aci_bench_section_classifier_pipeline` is a English model originally trained by dhananjay2912.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinicalbert_aci_bench_section_classifier_pipeline_en_5.5.0_3.0_1726953112849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinicalbert_aci_bench_section_classifier_pipeline_en_5.5.0_3.0_1726953112849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("clinicalbert_aci_bench_section_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("clinicalbert_aci_bench_section_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinicalbert_aci_bench_section_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/dhananjay2912/clinicalbert_aci_bench_section_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-cnj_large_v1_2_dinkytrain_weird_en.md b/docs/_posts/ahmedlone127/2024-09-21-cnj_large_v1_2_dinkytrain_weird_en.md
new file mode 100644
index 00000000000000..18802606d264ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-cnj_large_v1_2_dinkytrain_weird_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cnj_large_v1_2_dinkytrain_weird RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: cnj_large_v1_2_dinkytrain_weird
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cnj_large_v1_2_dinkytrain_weird` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cnj_large_v1_2_dinkytrain_weird_en_5.5.0_3.0_1726934605802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cnj_large_v1_2_dinkytrain_weird_en_5.5.0_3.0_1726934605802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cnj_large_v1_2_dinkytrain_weird|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|845.2 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/cnj_large_v1_2_dinkytrain_weird
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-cnj_large_v1_2_dinkytrain_weird_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-cnj_large_v1_2_dinkytrain_weird_pipeline_en.md
new file mode 100644
index 00000000000000..115a7bcb4f6bed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-cnj_large_v1_2_dinkytrain_weird_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cnj_large_v1_2_dinkytrain_weird_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: cnj_large_v1_2_dinkytrain_weird_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cnj_large_v1_2_dinkytrain_weird_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cnj_large_v1_2_dinkytrain_weird_pipeline_en_5.5.0_3.0_1726934845727.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cnj_large_v1_2_dinkytrain_weird_pipeline_en_5.5.0_3.0_1726934845727.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cnj_large_v1_2_dinkytrain_weird_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cnj_large_v1_2_dinkytrain_weird_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cnj_large_v1_2_dinkytrain_weird_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|845.3 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/cnj_large_v1_2_dinkytrain_weird
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-coha1860s_en.md b/docs/_posts/ahmedlone127/2024-09-21-coha1860s_en.md
new file mode 100644
index 00000000000000..9e14d61ceea60c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-coha1860s_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English coha1860s RoBertaEmbeddings from simonmun
+author: John Snow Labs
+name: coha1860s
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`coha1860s` is a English model originally trained by simonmun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/coha1860s_en_5.5.0_3.0_1726934221985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/coha1860s_en_5.5.0_3.0_1726934221985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|convbert_base_turkish_mc4_toxicity_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|402.3 MB|
+
+## References
+
+https://huggingface.co/gokceuludogan/convbert-base-turkish-mc4-toxicity-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-cooking_info_need_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-cooking_info_need_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..e5709246df9673
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-cooking_info_need_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cooking_info_need_classifier_pipeline pipeline BertForSequenceClassification from AlexFr
+author: John Snow Labs
+name: cooking_info_need_classifier_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cooking_info_need_classifier_pipeline` is a English model originally trained by AlexFr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cooking_info_need_classifier_pipeline_en_5.5.0_3.0_1726902535228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cooking_info_need_classifier_pipeline_en_5.5.0_3.0_1726902535228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cooking_info_need_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cooking_info_need_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cooking_info_need_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/AlexFr/cooking-info-need-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-cv9_special_batch8_small_id.md b/docs/_posts/ahmedlone127/2024-09-21-cv9_special_batch8_small_id.md
new file mode 100644
index 00000000000000..cb4f79cab4228d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-cv9_special_batch8_small_id.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Indonesian cv9_special_batch8_small WhisperForCTC from TheRains
+author: John Snow Labs
+name: cv9_special_batch8_small
+date: 2024-09-21
+tags: [id, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cv9_special_batch8_small` is a Indonesian model originally trained by TheRains.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cv9_special_batch8_small_id_5.5.0_3.0_1726890823275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cv9_special_batch8_small_id_5.5.0_3.0_1726890823275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cv9_special_batch8_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|id|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/TheRains/cv9-special-batch8-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-cv9_special_batch8_small_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-21-cv9_special_batch8_small_pipeline_id.md
new file mode 100644
index 00000000000000..8dff6853b80b8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-cv9_special_batch8_small_pipeline_id.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Indonesian cv9_special_batch8_small_pipeline pipeline WhisperForCTC from TheRains
+author: John Snow Labs
+name: cv9_special_batch8_small_pipeline
+date: 2024-09-21
+tags: [id, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cv9_special_batch8_small_pipeline` is a Indonesian model originally trained by TheRains.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cv9_special_batch8_small_pipeline_id_5.5.0_3.0_1726890911615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cv9_special_batch8_small_pipeline_id_5.5.0_3.0_1726890911615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cv9_special_batch8_small_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cv9_special_batch8_small_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cv9_special_batch8_small_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/TheRains/cv9-special-batch8-small
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-deepset_bert_base_cased_squad2_orkg_unchanged_5e_05_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-deepset_bert_base_cased_squad2_orkg_unchanged_5e_05_pipeline_en.md
new file mode 100644
index 00000000000000..5768d66488ae5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-deepset_bert_base_cased_squad2_orkg_unchanged_5e_05_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English deepset_bert_base_cased_squad2_orkg_unchanged_5e_05_pipeline pipeline BertForQuestionAnswering from Moussab
+author: John Snow Labs
+name: deepset_bert_base_cased_squad2_orkg_unchanged_5e_05_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deepset_bert_base_cased_squad2_orkg_unchanged_5e_05_pipeline` is a English model originally trained by Moussab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deepset_bert_base_cased_squad2_orkg_unchanged_5e_05_pipeline_en_5.5.0_3.0_1726946464694.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deepset_bert_base_cased_squad2_orkg_unchanged_5e_05_pipeline_en_5.5.0_3.0_1726946464694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deepset_bert_base_cased_squad2_orkg_unchanged_5e_05_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deepset_bert_base_cased_squad2_orkg_unchanged_5e_05_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deepset_bert_base_cased_squad2_orkg_unchanged_5e_05_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Moussab/deepset_bert-base-cased-squad2-orkg-unchanged-5e-05
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-delivery_distilbert_base_uncased_v1_en.md b/docs/_posts/ahmedlone127/2024-09-21-delivery_distilbert_base_uncased_v1_en.md
new file mode 100644
index 00000000000000..6ce4dadcd639f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-delivery_distilbert_base_uncased_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English delivery_distilbert_base_uncased_v1 DistilBertForSequenceClassification from chuuhtetnaing
+author: John Snow Labs
+name: delivery_distilbert_base_uncased_v1
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`delivery_distilbert_base_uncased_v1` is a English model originally trained by chuuhtetnaing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/delivery_distilbert_base_uncased_v1_en_5.5.0_3.0_1726953015849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/delivery_distilbert_base_uncased_v1_en_5.5.0_3.0_1726953015849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|delivery_distilbert_base_uncased_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chuuhtetnaing/delivery-distilbert-base-uncased-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-demo_whisper_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-demo_whisper_pipeline_en.md
new file mode 100644
index 00000000000000..ce68ad87d440c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-demo_whisper_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English demo_whisper_pipeline pipeline WhisperForCTC from yash072
+author: John Snow Labs
+name: demo_whisper_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demo_whisper_pipeline` is a English model originally trained by yash072.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demo_whisper_pipeline_en_5.5.0_3.0_1726877830352.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demo_whisper_pipeline_en_5.5.0_3.0_1726877830352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("demo_whisper_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("demo_whisper_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|demo_whisper_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/yash072/demo_whisper
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-discord_message_small_en.md b/docs/_posts/ahmedlone127/2024-09-21-discord_message_small_en.md
new file mode 100644
index 00000000000000..608bcdac47214a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-discord_message_small_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English discord_message_small RoBertaEmbeddings from TheDiamondKing
+author: John Snow Labs
+name: discord_message_small
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`discord_message_small` is a English model originally trained by TheDiamondKing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/discord_message_small_en_5.5.0_3.0_1726943616114.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/discord_message_small_en_5.5.0_3.0_1726943616114.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_whisper_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/pravin96/distil_whisper_en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distil_whisper_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distil_whisper_english_pipeline_en.md
new file mode 100644
index 00000000000000..5d6cfd04ea5245
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distil_whisper_english_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distil_whisper_english_pipeline pipeline WhisperForCTC from pravin96
+author: John Snow Labs
+name: distil_whisper_english_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_whisper_english_pipeline` is a English model originally trained by pravin96.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_whisper_english_pipeline_en_5.5.0_3.0_1726948921691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_whisper_english_pipeline_en_5.5.0_3.0_1726948921691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distil_whisper_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distil_whisper_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_whisper_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/pravin96/distil_whisper_en
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert4_pipeline_en.md
new file mode 100644
index 00000000000000..76e089ee8d300c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert4_pipeline pipeline DistilBertForSequenceClassification from deptage
+author: John Snow Labs
+name: distilbert4_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert4_pipeline` is a English model originally trained by deptage.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert4_pipeline_en_5.5.0_3.0_1726953679128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert4_pipeline_en_5.5.0_3.0_1726953679128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/deptage/distilbert4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_agnews_padding30model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_agnews_padding30model_pipeline_en.md
new file mode 100644
index 00000000000000..88679461af5bcf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_agnews_padding30model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_agnews_padding30model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_agnews_padding30model_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_agnews_padding30model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_agnews_padding30model_pipeline_en_5.5.0_3.0_1726953330217.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_agnews_padding30model_pipeline_en_5.5.0_3.0_1726953330217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_agnews_padding30model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_agnews_padding30model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_agnews_padding30model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_agnews_padding30model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_amazon_software_reviews_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_amazon_software_reviews_finetuned_en.md
new file mode 100644
index 00000000000000..b9646d84600cb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_amazon_software_reviews_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_amazon_software_reviews_finetuned DistilBertForSequenceClassification from PHILIPPUNI
+author: John Snow Labs
+name: distilbert_amazon_software_reviews_finetuned
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_amazon_software_reviews_finetuned` is a English model originally trained by PHILIPPUNI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_amazon_software_reviews_finetuned_en_5.5.0_3.0_1726953265149.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_amazon_software_reviews_finetuned_en_5.5.0_3.0_1726953265149.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_amazon_software_reviews_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/PHILIPPUNI/distilbert-amazon-software-reviews-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_amazon_software_reviews_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_amazon_software_reviews_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..9f9a1e47a55317
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_amazon_software_reviews_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_amazon_software_reviews_finetuned_pipeline pipeline DistilBertForSequenceClassification from PHILIPPUNI
+author: John Snow Labs
+name: distilbert_amazon_software_reviews_finetuned_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_amazon_software_reviews_finetuned_pipeline` is a English model originally trained by PHILIPPUNI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_amazon_software_reviews_finetuned_pipeline_en_5.5.0_3.0_1726953277769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_amazon_software_reviews_finetuned_pipeline_en_5.5.0_3.0_1726953277769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_amazon_software_reviews_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_amazon_software_reviews_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_amazon_software_reviews_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/PHILIPPUNI/distilbert-amazon-software-reviews-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_pipeline_xx.md
new file mode 100644
index 00000000000000..3c3aba709a1f58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_pipeline pipeline DistilBertForSequenceClassification from blue2959
+author: John Snow Labs
+name: distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_pipeline
+date: 2024-09-21
+tags: [xx, open_source, pipeline, onnx]
+task: Text Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_pipeline` is a Multilingual model originally trained by blue2959.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_pipeline_xx_5.5.0_3.0_1726924016536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_pipeline_xx_5.5.0_3.0_1726924016536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|507.7 MB|
+
+## References
+
+https://huggingface.co/blue2959/distilbert-base-multilingual-cased-finetuned-kor-8-emotions_v1.4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_xx.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_xx.md
new file mode 100644
index 00000000000000..3b7cc9ea1594a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4 DistilBertForSequenceClassification from blue2959
+author: John Snow Labs
+name: distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4
+date: 2024-09-21
+tags: [xx, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4` is a Multilingual model originally trained by blue2959.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_xx_5.5.0_3.0_1726923992706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_finetuned_kor_8_emotions_v1_4_xx_5.5.0_3.0_1726923992706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_cased_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|507.6 MB|
+
+## References
+
+References
+
+https://huggingface.co/chiatzu/distilbert-base-multilingual-cased-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_banking_zphr_0st72_ut52ut1_plain_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_banking_zphr_0st72_ut52ut1_plain_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..be0f0c67ea363f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_banking_zphr_0st72_ut52ut1_plain_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_banking_zphr_0st72_ut52ut1_plain_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_banking_zphr_0st72_ut52ut1_plain_simsp_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_banking_zphr_0st72_ut52ut1_plain_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_banking_zphr_0st72_ut52ut1_plain_simsp_pipeline_en_5.5.0_3.0_1726923919930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_banking_zphr_0st72_ut52ut1_plain_simsp_pipeline_en_5.5.0_3.0_1726923919930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_banking_zphr_0st72_ut52ut1_plain_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_banking_zphr_0st72_ut52ut1_plain_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_banking_zphr_0st72_ut52ut1_plain_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_banking_zphr_0st72_ut52ut1_plain_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_adl_hw1_penguinyeh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_adl_hw1_penguinyeh_pipeline_en.md
new file mode 100644
index 00000000000000..94e7daf1dc3368
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_adl_hw1_penguinyeh_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_adl_hw1_penguinyeh_pipeline pipeline DistilBertForSequenceClassification from penguinyeh
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_adl_hw1_penguinyeh_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_adl_hw1_penguinyeh_pipeline` is a English model originally trained by penguinyeh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_penguinyeh_pipeline_en_5.5.0_3.0_1726924374076.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_adl_hw1_penguinyeh_pipeline_en_5.5.0_3.0_1726924374076.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_adl_hw1_penguinyeh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_adl_hw1_penguinyeh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_adl_hw1_penguinyeh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/penguinyeh/distilbert-base-uncased-finetuned-adl_hw1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_cola_cltsai_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_cola_cltsai_pipeline_en.md
new file mode 100644
index 00000000000000..529b8d290582ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_cola_cltsai_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_cltsai_pipeline pipeline DistilBertForSequenceClassification from cltsai
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_cltsai_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_cltsai_pipeline` is a English model originally trained by cltsai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_cltsai_pipeline_en_5.5.0_3.0_1726888792279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_cltsai_pipeline_en_5.5.0_3.0_1726888792279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_cltsai_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_cltsai_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_cltsai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cltsai/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_a5med_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_a5med_en.md
new file mode 100644
index 00000000000000..0b9a01c4da7262
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_a5med_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_a5med DistilBertForSequenceClassification from a5med
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_a5med
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_a5med` is a English model originally trained by a5med.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_a5med_en_5.5.0_3.0_1726884690124.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_a5med_en_5.5.0_3.0_1726884690124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_a5med|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/a5med/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_a5med_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_a5med_pipeline_en.md
new file mode 100644
index 00000000000000..9f3de1cdc00f89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_a5med_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_a5med_pipeline pipeline DistilBertForSequenceClassification from a5med
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_a5med_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_a5med_pipeline` is a English model originally trained by a5med.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_a5med_pipeline_en_5.5.0_3.0_1726884701891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_a5med_pipeline_en_5.5.0_3.0_1726884701891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_a5med_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_a5med_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_a5med_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/a5med/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_basantsubba_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_basantsubba_en.md
new file mode 100644
index 00000000000000..ddd9c69306b568
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_basantsubba_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_basantsubba DistilBertForSequenceClassification from BasantSubba
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_basantsubba
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_basantsubba` is a English model originally trained by BasantSubba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_basantsubba_en_5.5.0_3.0_1726952965786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_basantsubba_en_5.5.0_3.0_1726952965786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_basantsubba|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BasantSubba/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_basantsubba_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_basantsubba_pipeline_en.md
new file mode 100644
index 00000000000000..da09c78b28c38c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_basantsubba_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_basantsubba_pipeline pipeline DistilBertForSequenceClassification from BasantSubba
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_basantsubba_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_basantsubba_pipeline` is a English model originally trained by BasantSubba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_basantsubba_pipeline_en_5.5.0_3.0_1726952979055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_basantsubba_pipeline_en_5.5.0_3.0_1726952979055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_basantsubba_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_basantsubba_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_basantsubba_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BasantSubba/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_book_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_book_en.md
new file mode 100644
index 00000000000000..ab1bdc8a740105
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_book_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_book DistilBertForSequenceClassification from tibi96
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_book
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_book` is a English model originally trained by tibi96.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_book_en_5.5.0_3.0_1726888868335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_book_en_5.5.0_3.0_1726888868335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_book|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tibi96/distilbert-base-uncased-finetuned-emotion-book
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_book_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_book_pipeline_en.md
new file mode 100644
index 00000000000000..50997ee0170de7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_book_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_book_pipeline pipeline DistilBertForSequenceClassification from tibi96
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_book_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_book_pipeline` is a English model originally trained by tibi96.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_book_pipeline_en_5.5.0_3.0_1726888880743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_book_pipeline_en_5.5.0_3.0_1726888880743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_book_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_book_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_book_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tibi96/distilbert-base-uncased-finetuned-emotion-book
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_boringyogurt_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_boringyogurt_en.md
new file mode 100644
index 00000000000000..7162f4bdd0a553
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_boringyogurt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_boringyogurt DistilBertForSequenceClassification from BoringYogurt
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_boringyogurt
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_boringyogurt` is a English model originally trained by BoringYogurt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_boringyogurt_en_5.5.0_3.0_1726952966506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_boringyogurt_en_5.5.0_3.0_1726952966506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_boringyogurt|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BoringYogurt/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_boringyogurt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_boringyogurt_pipeline_en.md
new file mode 100644
index 00000000000000..1124c5f87126c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_boringyogurt_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_boringyogurt_pipeline pipeline DistilBertForSequenceClassification from BoringYogurt
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_boringyogurt_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_boringyogurt_pipeline` is a English model originally trained by BoringYogurt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_boringyogurt_pipeline_en_5.5.0_3.0_1726952979106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_boringyogurt_pipeline_en_5.5.0_3.0_1726952979106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_boringyogurt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_boringyogurt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_boringyogurt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BoringYogurt/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_crazymoment_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_crazymoment_en.md
new file mode 100644
index 00000000000000..512971eeb2dc9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_crazymoment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_crazymoment DistilBertForSequenceClassification from CrazyMoment
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_crazymoment
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_crazymoment` is a English model originally trained by CrazyMoment.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_crazymoment_en_5.5.0_3.0_1726953203911.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_crazymoment_en_5.5.0_3.0_1726953203911.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_crazymoment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/CrazyMoment/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_crazymoment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_crazymoment_pipeline_en.md
new file mode 100644
index 00000000000000..80dddccf4378b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_crazymoment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_crazymoment_pipeline pipeline DistilBertForSequenceClassification from CrazyMoment
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_crazymoment_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_crazymoment_pipeline` is a English model originally trained by CrazyMoment.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_crazymoment_pipeline_en_5.5.0_3.0_1726953215778.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_crazymoment_pipeline_en_5.5.0_3.0_1726953215778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_crazymoment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_crazymoment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_crazymoment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/CrazyMoment/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_dasooo_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_dasooo_en.md
new file mode 100644
index 00000000000000..43d807a229e1ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_dasooo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_dasooo DistilBertForSequenceClassification from daSooo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_dasooo
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dasooo` is a English model originally trained by daSooo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dasooo_en_5.5.0_3.0_1726888865889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dasooo_en_5.5.0_3.0_1726888865889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_dasooo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/daSooo/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_hyadav22_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_hyadav22_en.md
new file mode 100644
index 00000000000000..b7df3a30ee5876
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_hyadav22_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_hyadav22 DistilBertForSequenceClassification from hyadav22
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_hyadav22
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hyadav22` is a English model originally trained by hyadav22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hyadav22_en_5.5.0_3.0_1726924161548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hyadav22_en_5.5.0_3.0_1726924161548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_hyadav22|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hyadav22/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_hyadav22_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_hyadav22_pipeline_en.md
new file mode 100644
index 00000000000000..f01ca34aa7168f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_hyadav22_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_hyadav22_pipeline pipeline DistilBertForSequenceClassification from hyadav22
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_hyadav22_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hyadav22_pipeline` is a English model originally trained by hyadav22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hyadav22_pipeline_en_5.5.0_3.0_1726924173837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hyadav22_pipeline_en_5.5.0_3.0_1726924173837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_hyadav22_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_hyadav22_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_hyadav22_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hyadav22/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_jiogenes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_jiogenes_pipeline_en.md
new file mode 100644
index 00000000000000..0cc8fce8625cac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_jiogenes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jiogenes_pipeline pipeline DistilBertForSequenceClassification from jiogenes
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jiogenes_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jiogenes_pipeline` is a English model originally trained by jiogenes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jiogenes_pipeline_en_5.5.0_3.0_1726953200491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jiogenes_pipeline_en_5.5.0_3.0_1726953200491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_jiogenes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_jiogenes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jiogenes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jiogenes/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_large_sets_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_large_sets_en.md
new file mode 100644
index 00000000000000..96fed544ea58c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_large_sets_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_large_sets DistilBertForSequenceClassification from A01794620
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_large_sets
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_large_sets` is a English model originally trained by A01794620.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_large_sets_en_5.5.0_3.0_1726888739873.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_large_sets_en_5.5.0_3.0_1726888739873.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_large_sets|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/A01794620/distilbert-base-uncased-finetuned-emotion-large-sets
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_large_sets_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_large_sets_pipeline_en.md
new file mode 100644
index 00000000000000..1832f790b081b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_large_sets_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_large_sets_pipeline pipeline DistilBertForSequenceClassification from A01794620
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_large_sets_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_large_sets_pipeline` is a English model originally trained by A01794620.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_large_sets_pipeline_en_5.5.0_3.0_1726888752502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_large_sets_pipeline_en_5.5.0_3.0_1726888752502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_large_sets_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_large_sets_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_large_sets_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/A01794620/distilbert-base-uncased-finetuned-emotion-large-sets
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_leeht0113_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_leeht0113_en.md
new file mode 100644
index 00000000000000..a2b2ed6be19572
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_leeht0113_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_leeht0113 DistilBertForSequenceClassification from leeht0113
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_leeht0113
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_leeht0113` is a English model originally trained by leeht0113.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_leeht0113_en_5.5.0_3.0_1726952857645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_leeht0113_en_5.5.0_3.0_1726952857645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_leeht0113|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/leeht0113/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_leeht0113_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_leeht0113_pipeline_en.md
new file mode 100644
index 00000000000000..0aef1e8beb5933
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_leeht0113_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_leeht0113_pipeline pipeline DistilBertForSequenceClassification from leeht0113
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_leeht0113_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_leeht0113_pipeline` is a English model originally trained by leeht0113.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_leeht0113_pipeline_en_5.5.0_3.0_1726952869985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_leeht0113_pipeline_en_5.5.0_3.0_1726952869985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_leeht0113_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_leeht0113_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_leeht0113_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/leeht0113/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_leotunganh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_leotunganh_pipeline_en.md
new file mode 100644
index 00000000000000..2c9f9b5fd0f6dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_leotunganh_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_leotunganh_pipeline pipeline DistilBertForSequenceClassification from LeoTungAnh
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_leotunganh_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_leotunganh_pipeline` is a English model originally trained by LeoTungAnh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_leotunganh_pipeline_en_5.5.0_3.0_1726888776471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_leotunganh_pipeline_en_5.5.0_3.0_1726888776471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_leotunganh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_leotunganh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_leotunganh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LeoTungAnh/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_omersubasi_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_omersubasi_en.md
new file mode 100644
index 00000000000000..2c4c9ffaba2a94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_omersubasi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_omersubasi DistilBertForSequenceClassification from omersubasi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_omersubasi
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_omersubasi` is a English model originally trained by omersubasi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_omersubasi_en_5.5.0_3.0_1726952857600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_omersubasi_en_5.5.0_3.0_1726952857600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_omersubasi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/omersubasi/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_omersubasi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_omersubasi_pipeline_en.md
new file mode 100644
index 00000000000000..cbf785d382ea9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_omersubasi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_omersubasi_pipeline pipeline DistilBertForSequenceClassification from omersubasi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_omersubasi_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_omersubasi_pipeline` is a English model originally trained by omersubasi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_omersubasi_pipeline_en_5.5.0_3.0_1726952871947.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_omersubasi_pipeline_en_5.5.0_3.0_1726952871947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_omersubasi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_omersubasi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_omersubasi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/omersubasi/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_parksuna_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_parksuna_en.md
new file mode 100644
index 00000000000000..e4a98cfeb6a5e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_parksuna_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_parksuna DistilBertForSequenceClassification from parksuna
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_parksuna
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_parksuna` is a English model originally trained by parksuna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_parksuna_en_5.5.0_3.0_1726953577536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_parksuna_en_5.5.0_3.0_1726953577536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_parksuna|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/parksuna/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_rorra_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_rorra_en.md
new file mode 100644
index 00000000000000..e49d453a5dd8ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_rorra_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_rorra DistilBertForSequenceClassification from rorra
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_rorra
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rorra` is a English model originally trained by rorra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rorra_en_5.5.0_3.0_1726924056773.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rorra_en_5.5.0_3.0_1726924056773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_rorra|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rorra/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_tingting0104_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_tingting0104_en.md
new file mode 100644
index 00000000000000..3cfb680edbd7d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_tingting0104_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_tingting0104 DistilBertForSequenceClassification from TingTing0104
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_tingting0104
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tingting0104` is a English model originally trained by TingTing0104.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tingting0104_en_5.5.0_3.0_1726889004519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tingting0104_en_5.5.0_3.0_1726889004519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_tingting0104|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TingTing0104/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_tingting0104_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_tingting0104_pipeline_en.md
new file mode 100644
index 00000000000000..a289e6613c9de7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_tingting0104_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_tingting0104_pipeline pipeline DistilBertForSequenceClassification from TingTing0104
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_tingting0104_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tingting0104_pipeline` is a English model originally trained by TingTing0104.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tingting0104_pipeline_en_5.5.0_3.0_1726889016212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tingting0104_pipeline_en_5.5.0_3.0_1726889016212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_tingting0104_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_tingting0104_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_tingting0104_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TingTing0104/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_yerkekz_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_yerkekz_en.md
new file mode 100644
index 00000000000000..42d14e009398d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotion_yerkekz_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_yerkekz DistilBertForSequenceClassification from yerkekz
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_yerkekz
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yerkekz` is a English model originally trained by yerkekz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yerkekz_en_5.5.0_3.0_1726884582353.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yerkekz_en_5.5.0_3.0_1726884582353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_yerkekz|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yerkekz/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotions_piernik_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotions_piernik_en.md
new file mode 100644
index 00000000000000..9a98644f5b28f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotions_piernik_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotions_piernik DistilBertForSequenceClassification from piernikr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotions_piernik
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_piernik` is a English model originally trained by piernikr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_piernik_en_5.5.0_3.0_1726884465041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_piernik_en_5.5.0_3.0_1726884465041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotions_piernik|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/piernikr/distilbert-base-uncased-finetuned-emotions-piernik
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotions_piernik_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotions_piernik_pipeline_en.md
new file mode 100644
index 00000000000000..a170ff6ea4573a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_emotions_piernik_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotions_piernik_pipeline pipeline DistilBertForSequenceClassification from piernikr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotions_piernik_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_piernik_pipeline` is a English model originally trained by piernikr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_piernik_pipeline_en_5.5.0_3.0_1726884476772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_piernik_pipeline_en_5.5.0_3.0_1726884476772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_emotions_piernik_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotions_piernik_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotions_piernik_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/piernikr/distilbert-base-uncased-finetuned-emotions-piernik
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_language_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_language_pipeline_en.md
new file mode 100644
index 00000000000000..cb1ead946a031d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_language_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_language_pipeline pipeline DistilBertForSequenceClassification from davidliu0716
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_language_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_language_pipeline` is a English model originally trained by davidliu0716.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_language_pipeline_en_5.5.0_3.0_1726924110292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_language_pipeline_en_5.5.0_3.0_1726924110292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_language_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_language_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_language_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/davidliu0716/distilbert-base-uncased-finetuned-language
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_en.md
new file mode 100644
index 00000000000000..ad9eec2c363cc2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu DistilBertForSequenceClassification from ben-yu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu` is a English model originally trained by ben-yu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_en_5.5.0_3.0_1726884857751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_en_5.5.0_3.0_1726884857751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ben-yu/distilbert-base-uncased-finetuned-nlp-letters-full_text-degendered-class-weighted
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_pipeline_en.md
new file mode 100644
index 00000000000000..616e45f2a9b18c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_pipeline pipeline DistilBertForSequenceClassification from ben-yu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_pipeline` is a English model originally trained by ben-yu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_pipeline_en_5.5.0_3.0_1726884869452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_pipeline_en_5.5.0_3.0_1726884869452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_nlp_letters_full_text_degendered_class_weighted_ben_yu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ben-yu/distilbert-base-uncased-finetuned-nlp-letters-full_text-degendered-class-weighted
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_qnli_abhinavreddy17_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_qnli_abhinavreddy17_en.md
new file mode 100644
index 00000000000000..dc208a6bebd341
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_qnli_abhinavreddy17_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_qnli_abhinavreddy17 DistilBertForSequenceClassification from abhinavreddy17
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_qnli_abhinavreddy17
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_qnli_abhinavreddy17` is a English model originally trained by abhinavreddy17.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_qnli_abhinavreddy17_en_5.5.0_3.0_1726884494367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_qnli_abhinavreddy17_en_5.5.0_3.0_1726884494367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_qnli_abhinavreddy17|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abhinavreddy17/distilbert-base-uncased-finetuned-qnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_sst_2_english_tuning_amazon_baby_5000_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_sst_2_english_tuning_amazon_baby_5000_en.md
new file mode 100644
index 00000000000000..50c7d04e1203ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_finetuned_sst_2_english_tuning_amazon_baby_5000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst_2_english_tuning_amazon_baby_5000 DistilBertForSequenceClassification from Vicman229
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst_2_english_tuning_amazon_baby_5000
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst_2_english_tuning_amazon_baby_5000` is a English model originally trained by Vicman229.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_tuning_amazon_baby_5000_en_5.5.0_3.0_1726884669543.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_tuning_amazon_baby_5000_en_5.5.0_3.0_1726884669543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst_2_english_tuning_amazon_baby_5000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Vicman229/distilbert-base-uncased-finetuned-sst-2-english-tuning-amazon-baby-5000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large53pfxnf_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large53pfxnf_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..de5f147770d17c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large53pfxnf_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large53pfxnf_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large53pfxnf_simsp_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large53pfxnf_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large53pfxnf_simsp_pipeline_en_5.5.0_3.0_1726884777282.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large53pfxnf_simsp_pipeline_en_5.5.0_3.0_1726884777282.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large53pfxnf_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large53pfxnf_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1large53pfxnf_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st42sd_ut72ut1large53PfxNf_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_en.md
new file mode 100644
index 00000000000000..913a2975288a6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_en_5.5.0_3.0_1726952913388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_en_5.5.0_3.0_1726952913388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st6sd_ut72ut1large6PfxNf_simsp400_clean200
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_pipeline_en.md
new file mode 100644
index 00000000000000..b022d4624a5520
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_pipeline_en_5.5.0_3.0_1726952925884.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_pipeline_en_5.5.0_3.0_1726952925884.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st6sd_ut72ut1large6pfxnf_simsp400_clean200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st6sd_ut72ut1large6PfxNf_simsp400_clean200
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_en.md
new file mode 100644
index 00000000000000..1d1b43cc9cfaa0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_en_5.5.0_3.0_1726884762567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_en_5.5.0_3.0_1726884762567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st8sd_ut52ut1_PLPrefix0stlarge_simsp100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_pipeline_en.md
new file mode 100644
index 00000000000000..5ebb8d0ee30e49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_pipeline_en_5.5.0_3.0_1726884774548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_pipeline_en_5.5.0_3.0_1726884774548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st8sd_ut52ut1_plprefix0stlarge_simsp100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st8sd_ut52ut1_PLPrefix0stlarge_simsp100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainprefix_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainprefix_simsp_en.md
new file mode 100644
index 00000000000000..56f317e1afc0ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainprefix_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainprefix_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainprefix_simsp
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainprefix_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainprefix_simsp_en_5.5.0_3.0_1726952939075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainprefix_simsp_en_5.5.0_3.0_1726952939075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_travel_zphr_0st_ut102ut1_plainprefix_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_travel_zphr_0st_ut102ut1_plainPrefix_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_utility_zphr_0st_ut72ut7_plain_simsp_clean_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_utility_zphr_0st_ut72ut7_plain_simsp_clean_en.md
new file mode 100644
index 00000000000000..3ef792e984d8b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_base_uncased_utility_zphr_0st_ut72ut7_plain_simsp_clean_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_utility_zphr_0st_ut72ut7_plain_simsp_clean DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_utility_zphr_0st_ut72ut7_plain_simsp_clean
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_utility_zphr_0st_ut72ut7_plain_simsp_clean` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_utility_zphr_0st_ut72ut7_plain_simsp_clean_en_5.5.0_3.0_1726889100361.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_utility_zphr_0st_ut72ut7_plain_simsp_clean_en_5.5.0_3.0_1726889100361.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_utility_zphr_0st_ut72ut7_plain_simsp_clean|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_utility_zphr_0st_ut72ut7_plain_simsp_clean
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_emotion_aliciiavs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_emotion_aliciiavs_pipeline_en.md
new file mode 100644
index 00000000000000..fc848f2702fcf1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_emotion_aliciiavs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_emotion_aliciiavs_pipeline pipeline DistilBertForSequenceClassification from aliciiavs
+author: John Snow Labs
+name: distilbert_emotion_aliciiavs_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_aliciiavs_pipeline` is a English model originally trained by aliciiavs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_aliciiavs_pipeline_en_5.5.0_3.0_1726888852343.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_aliciiavs_pipeline_en_5.5.0_3.0_1726888852343.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_emotion_aliciiavs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_emotion_aliciiavs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_aliciiavs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aliciiavs/distilbert-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_emotion_sangmitra_06_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_emotion_sangmitra_06_en.md
new file mode 100644
index 00000000000000..5099ff9280ff39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_emotion_sangmitra_06_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_emotion_sangmitra_06 DistilBertForSequenceClassification from Sangmitra-06
+author: John Snow Labs
+name: distilbert_emotion_sangmitra_06
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_sangmitra_06` is a English model originally trained by Sangmitra-06.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_sangmitra_06_en_5.5.0_3.0_1726884945356.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_sangmitra_06_en_5.5.0_3.0_1726884945356.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_sangmitra_06|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Sangmitra-06/DistilBERT_emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_emotion_sangmitra_06_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_emotion_sangmitra_06_pipeline_en.md
new file mode 100644
index 00000000000000..3826a268d816b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_emotion_sangmitra_06_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_emotion_sangmitra_06_pipeline pipeline DistilBertForSequenceClassification from Sangmitra-06
+author: John Snow Labs
+name: distilbert_emotion_sangmitra_06_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_sangmitra_06_pipeline` is a English model originally trained by Sangmitra-06.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_sangmitra_06_pipeline_en_5.5.0_3.0_1726884956825.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_sangmitra_06_pipeline_en_5.5.0_3.0_1726884956825.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_emotion_sangmitra_06_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_emotion_sangmitra_06_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_sangmitra_06_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Sangmitra-06/DistilBERT_emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_finetuned_imdb_sentiment_uchaturvedi_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_finetuned_imdb_sentiment_uchaturvedi_en.md
new file mode 100644
index 00000000000000..425f087d6ec24e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_finetuned_imdb_sentiment_uchaturvedi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_finetuned_imdb_sentiment_uchaturvedi DistilBertForSequenceClassification from uchaturvedi
+author: John Snow Labs
+name: distilbert_finetuned_imdb_sentiment_uchaturvedi
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_imdb_sentiment_uchaturvedi` is a English model originally trained by uchaturvedi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sentiment_uchaturvedi_en_5.5.0_3.0_1726953156754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sentiment_uchaturvedi_en_5.5.0_3.0_1726953156754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_imdb_sentiment_uchaturvedi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/uchaturvedi/distilbert-finetuned-imdb-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_finetuned_imdb_sentiment_uchaturvedi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_finetuned_imdb_sentiment_uchaturvedi_pipeline_en.md
new file mode 100644
index 00000000000000..88723e1e64097f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_finetuned_imdb_sentiment_uchaturvedi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_finetuned_imdb_sentiment_uchaturvedi_pipeline pipeline DistilBertForSequenceClassification from uchaturvedi
+author: John Snow Labs
+name: distilbert_finetuned_imdb_sentiment_uchaturvedi_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_imdb_sentiment_uchaturvedi_pipeline` is a English model originally trained by uchaturvedi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sentiment_uchaturvedi_pipeline_en_5.5.0_3.0_1726953168793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_imdb_sentiment_uchaturvedi_pipeline_en_5.5.0_3.0_1726953168793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_imdb_sentiment_uchaturvedi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_imdb_sentiment_uchaturvedi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_imdb_sentiment_uchaturvedi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/uchaturvedi/distilbert-finetuned-imdb-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_finetuning_sentime_movie_model_skspend_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_finetuning_sentime_movie_model_skspend_en.md
new file mode 100644
index 00000000000000..c2e988830c74fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_finetuning_sentime_movie_model_skspend_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_finetuning_sentime_movie_model_skspend DistilBertForSequenceClassification from skspend
+author: John Snow Labs
+name: distilbert_finetuning_sentime_movie_model_skspend
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuning_sentime_movie_model_skspend` is a English model originally trained by skspend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuning_sentime_movie_model_skspend_en_5.5.0_3.0_1726888699651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuning_sentime_movie_model_skspend_en_5.5.0_3.0_1726888699651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuning_sentime_movie_model_skspend|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/skspend/distilbert_finetuning-sentime-movie-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_finetuning_sentime_movie_model_skspend_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_finetuning_sentime_movie_model_skspend_pipeline_en.md
new file mode 100644
index 00000000000000..4d8b8137a975bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_finetuning_sentime_movie_model_skspend_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_finetuning_sentime_movie_model_skspend_pipeline pipeline DistilBertForSequenceClassification from skspend
+author: John Snow Labs
+name: distilbert_finetuning_sentime_movie_model_skspend_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuning_sentime_movie_model_skspend_pipeline` is a English model originally trained by skspend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuning_sentime_movie_model_skspend_pipeline_en_5.5.0_3.0_1726888711702.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuning_sentime_movie_model_skspend_pipeline_en_5.5.0_3.0_1726888711702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuning_sentime_movie_model_skspend_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuning_sentime_movie_model_skspend_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuning_sentime_movie_model_skspend_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/skspend/distilbert_finetuning-sentime-movie-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_food_vespinoza_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_food_vespinoza_en.md
new file mode 100644
index 00000000000000..7e6e1b180be208
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_food_vespinoza_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_food_vespinoza DistilBertForSequenceClassification from vespinoza
+author: John Snow Labs
+name: distilbert_food_vespinoza
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_food_vespinoza` is a English model originally trained by vespinoza.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_food_vespinoza_en_5.5.0_3.0_1726924213614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_food_vespinoza_en_5.5.0_3.0_1726924213614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_food_vespinoza|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vespinoza/distilbert-food
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_mouse_enhancers_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_mouse_enhancers_pipeline_en.md
new file mode 100644
index 00000000000000..44abc2a015bf81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_mouse_enhancers_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_mouse_enhancers_pipeline pipeline DistilBertForSequenceClassification from addykan
+author: John Snow Labs
+name: distilbert_mouse_enhancers_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_mouse_enhancers_pipeline` is a English model originally trained by addykan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_mouse_enhancers_pipeline_en_5.5.0_3.0_1726953302309.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_mouse_enhancers_pipeline_en_5.5.0_3.0_1726953302309.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_mouse_enhancers_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_mouse_enhancers_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_mouse_enhancers_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/addykan/distilbert-mouse-enhancers
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_sanskrit_saskta_glue_experiment_data_aug_cola_384_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_sanskrit_saskta_glue_experiment_data_aug_cola_384_en.md
new file mode 100644
index 00000000000000..762dc806bdb9e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_sanskrit_saskta_glue_experiment_data_aug_cola_384_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_data_aug_cola_384 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_data_aug_cola_384
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_data_aug_cola_384` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_cola_384_en_5.5.0_3.0_1726953479755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_data_aug_cola_384_en_5.5.0_3.0_1726953479755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_data_aug_cola_384|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|111.8 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_data_aug_cola_384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_sql_timeout_classifier_with_trained_tokenizer_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_sql_timeout_classifier_with_trained_tokenizer_en.md
new file mode 100644
index 00000000000000..c502d96771eb3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_sql_timeout_classifier_with_trained_tokenizer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sql_timeout_classifier_with_trained_tokenizer DistilBertForSequenceClassification from Lifehouse
+author: John Snow Labs
+name: distilbert_sql_timeout_classifier_with_trained_tokenizer
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sql_timeout_classifier_with_trained_tokenizer` is a English model originally trained by Lifehouse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sql_timeout_classifier_with_trained_tokenizer_en_5.5.0_3.0_1726923713907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sql_timeout_classifier_with_trained_tokenizer_en_5.5.0_3.0_1726923713907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sql_timeout_classifier_with_trained_tokenizer|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|266.9 MB|
+
+## References
+
+https://huggingface.co/Lifehouse/distilbert-sql-timeout-classifier-with-trained-tokenizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_sst2_padding80model_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_sst2_padding80model_en.md
new file mode 100644
index 00000000000000..cc653889eb2eda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_sst2_padding80model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sst2_padding80model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_sst2_padding80model
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sst2_padding80model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sst2_padding80model_en_5.5.0_3.0_1726884465019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sst2_padding80model_en_5.5.0_3.0_1726884465019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sst2_padding80model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_sst2_padding80model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilbert_sst2_padding80model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilbert_sst2_padding80model_pipeline_en.md
new file mode 100644
index 00000000000000..800fb5206c735a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilbert_sst2_padding80model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sst2_padding80model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: distilbert_sst2_padding80model_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sst2_padding80model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sst2_padding80model_pipeline_en_5.5.0_3.0_1726884480097.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sst2_padding80model_pipeline_en_5.5.0_3.0_1726884480097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sst2_padding80model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sst2_padding80model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sst2_padding80model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/distilbert_sst2_padding80model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilft_frisian_1ha_fy.md b/docs/_posts/ahmedlone127/2024-09-21-distilft_frisian_1ha_fy.md
new file mode 100644
index 00000000000000..4623fbb9b86973
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilft_frisian_1ha_fy.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Western Frisian distilft_frisian_1ha WhisperForCTC from Pageee
+author: John Snow Labs
+name: distilft_frisian_1ha
+date: 2024-09-21
+tags: [fy, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: fy
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilft_frisian_1ha` is a Western Frisian model originally trained by Pageee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilft_frisian_1ha_fy_5.5.0_3.0_1726894650532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilft_frisian_1ha_fy_5.5.0_3.0_1726894650532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilft_frisian_1ha|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|fy|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Pageee/DistilFT-Frisian-1ha
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilft_frisian_1ha_pipeline_fy.md b/docs/_posts/ahmedlone127/2024-09-21-distilft_frisian_1ha_pipeline_fy.md
new file mode 100644
index 00000000000000..f95894d5b24d30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilft_frisian_1ha_pipeline_fy.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Western Frisian distilft_frisian_1ha_pipeline pipeline WhisperForCTC from Pageee
+author: John Snow Labs
+name: distilft_frisian_1ha_pipeline
+date: 2024-09-21
+tags: [fy, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: fy
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilft_frisian_1ha_pipeline` is a Western Frisian model originally trained by Pageee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilft_frisian_1ha_pipeline_fy_5.5.0_3.0_1726894709854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilft_frisian_1ha_pipeline_fy_5.5.0_3.0_1726894709854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilft_frisian_1ha_pipeline", lang = "fy")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilft_frisian_1ha_pipeline", lang = "fy")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilft_frisian_1ha_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fy|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Pageee/DistilFT-Frisian-1ha
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilkobert_ep3_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilkobert_ep3_en.md
new file mode 100644
index 00000000000000..2772f42581e2de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilkobert_ep3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilkobert_ep3 DistilBertForSequenceClassification from yeye776
+author: John Snow Labs
+name: distilkobert_ep3
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilkobert_ep3` is a English model originally trained by yeye776.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilkobert_ep3_en_5.5.0_3.0_1726923699841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilkobert_ep3_en_5.5.0_3.0_1726923699841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilkobert_ep3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|106.5 MB|
+
+## References
+
+https://huggingface.co/yeye776/DistilKoBERT-ep3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distillbert_8_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distillbert_8_pipeline_en.md
new file mode 100644
index 00000000000000..8ff136b7825f8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distillbert_8_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distillbert_8_pipeline pipeline DistilBertForSequenceClassification from dzd828
+author: John Snow Labs
+name: distillbert_8_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_8_pipeline` is a English model originally trained by dzd828.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_8_pipeline_en_5.5.0_3.0_1726924127253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_8_pipeline_en_5.5.0_3.0_1726924127253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distillbert_8_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distillbert_8_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_8_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dzd828/distillbert-8
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distillbert_mentalv2_en.md b/docs/_posts/ahmedlone127/2024-09-21-distillbert_mentalv2_en.md
new file mode 100644
index 00000000000000..49223a03d1d187
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distillbert_mentalv2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distillbert_mentalv2 DistilBertForSequenceClassification from ColinCcz
+author: John Snow Labs
+name: distillbert_mentalv2
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_mentalv2` is a English model originally trained by ColinCcz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_mentalv2_en_5.5.0_3.0_1726923870165.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_mentalv2_en_5.5.0_3.0_1726923870165.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_mentalv2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ColinCcz/distillBERT_mentalv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distillbert_mentalv2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distillbert_mentalv2_pipeline_en.md
new file mode 100644
index 00000000000000..e74b63fb4af73e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distillbert_mentalv2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distillbert_mentalv2_pipeline pipeline DistilBertForSequenceClassification from ColinCcz
+author: John Snow Labs
+name: distillbert_mentalv2_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_mentalv2_pipeline` is a English model originally trained by ColinCcz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_mentalv2_pipeline_en_5.5.0_3.0_1726923882179.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_mentalv2_pipeline_en_5.5.0_3.0_1726923882179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distillbert_mentalv2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distillbert_mentalv2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_mentalv2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ColinCcz/distillBERT_mentalv2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_finetuned_wikitext2_ethanoutangoun_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_finetuned_wikitext2_ethanoutangoun_en.md
new file mode 100644
index 00000000000000..4adb0df8b435b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_finetuned_wikitext2_ethanoutangoun_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_base_finetuned_wikitext2_ethanoutangoun RoBertaEmbeddings from ethanoutangoun
+author: John Snow Labs
+name: distilroberta_base_finetuned_wikitext2_ethanoutangoun
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_finetuned_wikitext2_ethanoutangoun` is a English model originally trained by ethanoutangoun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_wikitext2_ethanoutangoun_en_5.5.0_3.0_1726934771608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_wikitext2_ethanoutangoun_en_5.5.0_3.0_1726934771608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_ft_climateskeptics|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/jkruk/distilroberta-base-ft-climateskeptics
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_ft_consoom_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_ft_consoom_pipeline_en.md
new file mode 100644
index 00000000000000..cb0d98bd4016cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_ft_consoom_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_ft_consoom_pipeline pipeline RoBertaEmbeddings from jkruk
+author: John Snow Labs
+name: distilroberta_base_ft_consoom_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_ft_consoom_pipeline` is a English model originally trained by jkruk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_ft_consoom_pipeline_en_5.5.0_3.0_1726943871596.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_ft_consoom_pipeline_en_5.5.0_3.0_1726943871596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_ft_consoom_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_ft_consoom_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_ft_consoom_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/jkruk/distilroberta-base-ft-consoom
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_ft_dating_advice_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_ft_dating_advice_en.md
new file mode 100644
index 00000000000000..ce34d6161f5d0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_ft_dating_advice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_base_ft_dating_advice RoBertaEmbeddings from jkruk
+author: John Snow Labs
+name: distilroberta_base_ft_dating_advice
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_ft_dating_advice` is a English model originally trained by jkruk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_ft_dating_advice_en_5.5.0_3.0_1726958209818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_ft_dating_advice_en_5.5.0_3.0_1726958209818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_ft_dating_advice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/jkruk/distilroberta-base-ft-dating_advice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_ft_dating_advice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_ft_dating_advice_pipeline_en.md
new file mode 100644
index 00000000000000..a7342be1b7d63b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_ft_dating_advice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_ft_dating_advice_pipeline pipeline RoBertaEmbeddings from jkruk
+author: John Snow Labs
+name: distilroberta_base_ft_dating_advice_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_ft_dating_advice_pipeline` is a English model originally trained by jkruk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_ft_dating_advice_pipeline_en_5.5.0_3.0_1726958224471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_ft_dating_advice_pipeline_en_5.5.0_3.0_1726958224471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_ft_dating_advice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_ft_dating_advice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_ft_dating_advice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/jkruk/distilroberta-base-ft-dating_advice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_ft_goldandblack_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_ft_goldandblack_en.md
new file mode 100644
index 00000000000000..fc91f13a92eab4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_ft_goldandblack_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_base_ft_goldandblack RoBertaEmbeddings from jkruk
+author: John Snow Labs
+name: distilroberta_base_ft_goldandblack
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_ft_goldandblack` is a English model originally trained by jkruk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_ft_goldandblack_en_5.5.0_3.0_1726957688499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_ft_goldandblack_en_5.5.0_3.0_1726957688499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_reuters_bloomberg_ep30_ep20|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.0 MB|
+
+## References
+
+https://huggingface.co/judy93536/distilroberta-base-reuters-bloomberg-ep30-ep20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_reuters_bloomberg_ep30_ep20_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_reuters_bloomberg_ep30_ep20_pipeline_en.md
new file mode 100644
index 00000000000000..9ec30a95aca223
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_reuters_bloomberg_ep30_ep20_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_reuters_bloomberg_ep30_ep20_pipeline pipeline RoBertaEmbeddings from judy93536
+author: John Snow Labs
+name: distilroberta_base_reuters_bloomberg_ep30_ep20_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_reuters_bloomberg_ep30_ep20_pipeline` is a English model originally trained by judy93536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_reuters_bloomberg_ep30_ep20_pipeline_en_5.5.0_3.0_1726882508007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_reuters_bloomberg_ep30_ep20_pipeline_en_5.5.0_3.0_1726882508007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_reuters_bloomberg_ep30_ep20_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_reuters_bloomberg_ep30_ep20_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_reuters_bloomberg_ep30_ep20_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.0 MB|
+
+## References
+
+https://huggingface.co/judy93536/distilroberta-base-reuters-bloomberg-ep30-ep20
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_test_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_test_en.md
new file mode 100644
index 00000000000000..e05d40527af2e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_test_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_base_test RoBertaForSequenceClassification from yu-jia-wang
+author: John Snow Labs
+name: distilroberta_base_test
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_test` is a English model originally trained by yu-jia-wang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_test_en_5.5.0_3.0_1726940674661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_test_en_5.5.0_3.0_1726940674661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_testingsb_testingsb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/MistahCase/distilroberta-base-testingSB-testingSB
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_testingsb_testingsb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_testingsb_testingsb_pipeline_en.md
new file mode 100644
index 00000000000000..ec15ba6bb47a02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_base_testingsb_testingsb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_testingsb_testingsb_pipeline pipeline RoBertaEmbeddings from MistahCase
+author: John Snow Labs
+name: distilroberta_base_testingsb_testingsb_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_testingsb_testingsb_pipeline` is a English model originally trained by MistahCase.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_testingsb_testingsb_pipeline_en_5.5.0_3.0_1726882081506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_testingsb_testingsb_pipeline_en_5.5.0_3.0_1726882081506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_testingsb_testingsb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_testingsb_testingsb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_testingsb_testingsb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/MistahCase/distilroberta-base-testingSB-testingSB
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilroberta_rbm213k_ep40_ep20_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_rbm213k_ep40_ep20_pipeline_en.md
new file mode 100644
index 00000000000000..511ca523cddb5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_rbm213k_ep40_ep20_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_rbm213k_ep40_ep20_pipeline pipeline RoBertaEmbeddings from judy93536
+author: John Snow Labs
+name: distilroberta_rbm213k_ep40_ep20_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_rbm213k_ep40_ep20_pipeline` is a English model originally trained by judy93536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_rbm213k_ep40_ep20_pipeline_en_5.5.0_3.0_1726957842105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_rbm213k_ep40_ep20_pipeline_en_5.5.0_3.0_1726957842105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_rbm213k_ep40_ep20_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_rbm213k_ep40_ep20_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_rbm213k_ep40_ep20_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.1 MB|
+
+## References
+
+https://huggingface.co/judy93536/distilroberta-rbm213k-ep40-ep20
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-domain_specific_finetuning_en.md b/docs/_posts/ahmedlone127/2024-09-21-domain_specific_finetuning_en.md
new file mode 100644
index 00000000000000..a3932e8747f798
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-domain_specific_finetuning_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English domain_specific_finetuning RoBertaEmbeddings from pavi156
+author: John Snow Labs
+name: domain_specific_finetuning
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`domain_specific_finetuning` is a English model originally trained by pavi156.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/domain_specific_finetuning_en_5.5.0_3.0_1726934086142.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/domain_specific_finetuning_en_5.5.0_3.0_1726934086142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|domain_specific_finetuning|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.4 MB|
+
+## References
+
+https://huggingface.co/pavi156/domain_specific_finetuning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-emoji_emoji_random0_seed0_twitter_roberta_base_2022_154m_en.md b/docs/_posts/ahmedlone127/2024-09-21-emoji_emoji_random0_seed0_twitter_roberta_base_2022_154m_en.md
new file mode 100644
index 00000000000000..d4e33c763fa16a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-emoji_emoji_random0_seed0_twitter_roberta_base_2022_154m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emoji_emoji_random0_seed0_twitter_roberta_base_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: emoji_emoji_random0_seed0_twitter_roberta_base_2022_154m
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emoji_emoji_random0_seed0_twitter_roberta_base_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoji_emoji_random0_seed0_twitter_roberta_base_2022_154m_en_5.5.0_3.0_1726900183767.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoji_emoji_random0_seed0_twitter_roberta_base_2022_154m_en_5.5.0_3.0_1726900183767.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emoji_emoji_random0_seed0_twitter_roberta_base_2022_154m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/emoji-emoji_random0_seed0-twitter-roberta-base-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-emotion_english_distilroberta_base_fine_tuned_for_amazon_english_reviews_on_200k_review_v3_en.md b/docs/_posts/ahmedlone127/2024-09-21-emotion_english_distilroberta_base_fine_tuned_for_amazon_english_reviews_on_200k_review_v3_en.md
new file mode 100644
index 00000000000000..f5cf8240f6d8af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-emotion_english_distilroberta_base_fine_tuned_for_amazon_english_reviews_on_200k_review_v3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emotion_english_distilroberta_base_fine_tuned_for_amazon_english_reviews_on_200k_review_v3 RoBertaForSequenceClassification from adnanakbr
+author: John Snow Labs
+name: emotion_english_distilroberta_base_fine_tuned_for_amazon_english_reviews_on_200k_review_v3
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_english_distilroberta_base_fine_tuned_for_amazon_english_reviews_on_200k_review_v3` is a English model originally trained by adnanakbr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_english_distilroberta_base_fine_tuned_for_amazon_english_reviews_on_200k_review_v3_en_5.5.0_3.0_1726940774612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_english_distilroberta_base_fine_tuned_for_amazon_english_reviews_on_200k_review_v3_en_5.5.0_3.0_1726940774612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_english_distilroberta_base_fine_tuned_for_amazon_english_reviews_on_200k_review_v3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/adnanakbr/emotion-english-distilroberta-base-fine_tuned_for_amazon_english_reviews_on_200K_review_v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-emscad_skill_extraction_conference_en.md b/docs/_posts/ahmedlone127/2024-09-21-emscad_skill_extraction_conference_en.md
new file mode 100644
index 00000000000000..bb4dcf2d75259f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-emscad_skill_extraction_conference_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emscad_skill_extraction_conference BertForSequenceClassification from Ivo
+author: John Snow Labs
+name: emscad_skill_extraction_conference
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emscad_skill_extraction_conference` is a English model originally trained by Ivo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emscad_skill_extraction_conference_en_5.5.0_3.0_1726956396052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emscad_skill_extraction_conference_en_5.5.0_3.0_1726956396052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esperberto_corgikoh|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|311.4 MB|
+
+## References
+
+https://huggingface.co/corgikoh/EsperBERTo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-esperberto_corgikoh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-esperberto_corgikoh_pipeline_en.md
new file mode 100644
index 00000000000000..ed69dfb9d3887b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-esperberto_corgikoh_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English esperberto_corgikoh_pipeline pipeline RoBertaEmbeddings from corgikoh
+author: John Snow Labs
+name: esperberto_corgikoh_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`esperberto_corgikoh_pipeline` is a English model originally trained by corgikoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/esperberto_corgikoh_pipeline_en_5.5.0_3.0_1726881969960.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/esperberto_corgikoh_pipeline_en_5.5.0_3.0_1726881969960.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("esperberto_corgikoh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("esperberto_corgikoh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esperberto_corgikoh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|311.5 MB|
+
+## References
+
+https://huggingface.co/corgikoh/EsperBERTo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-fieldclassifier_v2_en.md b/docs/_posts/ahmedlone127/2024-09-21-fieldclassifier_v2_en.md
new file mode 100644
index 00000000000000..f622cec9ca7fb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-fieldclassifier_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fieldclassifier_v2 BertForSequenceClassification from CleveGreen
+author: John Snow Labs
+name: fieldclassifier_v2
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fieldclassifier_v2` is a English model originally trained by CleveGreen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fieldclassifier_v2_en_5.5.0_3.0_1726956616182.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fieldclassifier_v2_en_5.5.0_3.0_1726956616182.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fieldclassifier_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/CleveGreen/FieldClassifier_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-fieldclassifier_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-fieldclassifier_v2_pipeline_en.md
new file mode 100644
index 00000000000000..41f68ac1ca5d2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-fieldclassifier_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fieldclassifier_v2_pipeline pipeline BertForSequenceClassification from CleveGreen
+author: John Snow Labs
+name: fieldclassifier_v2_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fieldclassifier_v2_pipeline` is a English model originally trained by CleveGreen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fieldclassifier_v2_pipeline_en_5.5.0_3.0_1726956634651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fieldclassifier_v2_pipeline_en_5.5.0_3.0_1726956634651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fieldclassifier_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fieldclassifier_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fieldclassifier_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/CleveGreen/FieldClassifier_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_en.md b/docs/_posts/ahmedlone127/2024-09-21-fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_en.md
new file mode 100644
index 00000000000000..e534c19381d391
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001 BertForQuestionAnswering from muhammadravi251001
+author: John Snow Labs
+name: fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001
+date: 2024-09-21
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001` is a English model originally trained by muhammadravi251001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_en_5.5.0_3.0_1726928935633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001_en_5.5.0_3.0_1726928935633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_datasetqas_squad_indonesian_with_indobert_base_uncased_without_ittl_without_freeze_lr_1e_05_muhammadravi251001|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/muhammadravi251001/fine-tuned-DatasetQAS-Squad-ID-with-indobert-base-uncased-without-ITTL-without-freeze-LR-1e-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuned_demo_2_nardellu_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuned_demo_2_nardellu_en.md
new file mode 100644
index 00000000000000..d86e2719b72b08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuned_demo_2_nardellu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_demo_2_nardellu DistilBertForSequenceClassification from nardellu
+author: John Snow Labs
+name: finetuned_demo_2_nardellu
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_demo_2_nardellu` is a English model originally trained by nardellu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_demo_2_nardellu_en_5.5.0_3.0_1726953348834.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_demo_2_nardellu_en_5.5.0_3.0_1726953348834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_demo_2_nardellu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/nardellu/finetuned_demo_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuned_demo_2_nardellu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuned_demo_2_nardellu_pipeline_en.md
new file mode 100644
index 00000000000000..ae07d1ba32f314
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuned_demo_2_nardellu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_demo_2_nardellu_pipeline pipeline DistilBertForSequenceClassification from nardellu
+author: John Snow Labs
+name: finetuned_demo_2_nardellu_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_demo_2_nardellu_pipeline` is a English model originally trained by nardellu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_demo_2_nardellu_pipeline_en_5.5.0_3.0_1726953360871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_demo_2_nardellu_pipeline_en_5.5.0_3.0_1726953360871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_demo_2_nardellu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_demo_2_nardellu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_demo_2_nardellu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/nardellu/finetuned_demo_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuned_distilbert_for_reddit_depression_detection_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuned_distilbert_for_reddit_depression_detection_en.md
new file mode 100644
index 00000000000000..4d7ce3348bbede
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuned_distilbert_for_reddit_depression_detection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_distilbert_for_reddit_depression_detection DistilBertForSequenceClassification from sunF1ow3r
+author: John Snow Labs
+name: finetuned_distilbert_for_reddit_depression_detection
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_for_reddit_depression_detection` is a English model originally trained by sunF1ow3r.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_for_reddit_depression_detection_en_5.5.0_3.0_1726953713804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_for_reddit_depression_detection_en_5.5.0_3.0_1726953713804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_for_reddit_depression_detection|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sunF1ow3r/finetuned-distilBERT-for-reddit-depression-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuned_sail2017_additionalpretrained_xlm_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuned_sail2017_additionalpretrained_xlm_roberta_base_en.md
new file mode 100644
index 00000000000000..8c3a2f6a806689
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuned_sail2017_additionalpretrained_xlm_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_sail2017_additionalpretrained_xlm_roberta_base XlmRoBertaForSequenceClassification from aditeyabaral
+author: John Snow Labs
+name: finetuned_sail2017_additionalpretrained_xlm_roberta_base
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sail2017_additionalpretrained_xlm_roberta_base` is a English model originally trained by aditeyabaral.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sail2017_additionalpretrained_xlm_roberta_base_en_5.5.0_3.0_1726919054586.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sail2017_additionalpretrained_xlm_roberta_base_en_5.5.0_3.0_1726919054586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sail2017_additionalpretrained_xlm_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|855.5 MB|
+
+## References
+
+https://huggingface.co/aditeyabaral/finetuned-sail2017-additionalpretrained-xlm-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuned_sail2017_additionalpretrained_xlm_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuned_sail2017_additionalpretrained_xlm_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..8e6611d96dddc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuned_sail2017_additionalpretrained_xlm_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_sail2017_additionalpretrained_xlm_roberta_base_pipeline pipeline XlmRoBertaForSequenceClassification from aditeyabaral
+author: John Snow Labs
+name: finetuned_sail2017_additionalpretrained_xlm_roberta_base_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sail2017_additionalpretrained_xlm_roberta_base_pipeline` is a English model originally trained by aditeyabaral.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sail2017_additionalpretrained_xlm_roberta_base_pipeline_en_5.5.0_3.0_1726919111944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sail2017_additionalpretrained_xlm_roberta_base_pipeline_en_5.5.0_3.0_1726919111944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_sail2017_additionalpretrained_xlm_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_sail2017_additionalpretrained_xlm_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sail2017_additionalpretrained_xlm_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|855.6 MB|
+
+## References
+
+https://huggingface.co/aditeyabaral/finetuned-sail2017-additionalpretrained-xlm-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_2_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_2_en.md
new file mode 100644
index 00000000000000..62fe7f00d22e28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_2 DistilBertForSequenceClassification from OscarSuarez
+author: John Snow Labs
+name: finetuning_sentiment_model_2
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_2` is a English model originally trained by OscarSuarez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_2_en_5.5.0_3.0_1726953146959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_2_en_5.5.0_3.0_1726953146959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/OscarSuarez/finetuning-sentiment-model-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_iossifpalli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_iossifpalli_pipeline_en.md
new file mode 100644
index 00000000000000..6f6669ea117ba0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_iossifpalli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_iossifpalli_pipeline pipeline DistilBertForSequenceClassification from IossifPalli
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_iossifpalli_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_iossifpalli_pipeline` is a English model originally trained by IossifPalli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_iossifpalli_pipeline_en_5.5.0_3.0_1726888613997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_iossifpalli_pipeline_en_5.5.0_3.0_1726888613997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_iossifpalli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_iossifpalli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_iossifpalli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/IossifPalli/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_lilianvoss_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_lilianvoss_en.md
new file mode 100644
index 00000000000000..5d44e5adc4571a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_lilianvoss_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_lilianvoss DistilBertForSequenceClassification from LilianVoss
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_lilianvoss
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_lilianvoss` is a English model originally trained by LilianVoss.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lilianvoss_en_5.5.0_3.0_1726953390507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lilianvoss_en_5.5.0_3.0_1726953390507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_lilianvoss|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LilianVoss/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_lilianvoss_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_lilianvoss_pipeline_en.md
new file mode 100644
index 00000000000000..302c53a25ba3f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_lilianvoss_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_lilianvoss_pipeline pipeline DistilBertForSequenceClassification from LilianVoss
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_lilianvoss_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_lilianvoss_pipeline` is a English model originally trained by LilianVoss.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lilianvoss_pipeline_en_5.5.0_3.0_1726953403085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lilianvoss_pipeline_en_5.5.0_3.0_1726953403085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_lilianvoss_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_lilianvoss_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_lilianvoss_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LilianVoss/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_marcelarosalesj_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_marcelarosalesj_pipeline_en.md
new file mode 100644
index 00000000000000..58da77d0069ca4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_marcelarosalesj_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_marcelarosalesj_pipeline pipeline DistilBertForSequenceClassification from marcelarosalesj
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_marcelarosalesj_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_marcelarosalesj_pipeline` is a English model originally trained by marcelarosalesj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_marcelarosalesj_pipeline_en_5.5.0_3.0_1726923725204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_marcelarosalesj_pipeline_en_5.5.0_3.0_1726923725204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_marcelarosalesj_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_marcelarosalesj_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_marcelarosalesj_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/marcelarosalesj/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_ramanen_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_ramanen_pipeline_en.md
new file mode 100644
index 00000000000000..8cbacdbd8c341d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_ramanen_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_ramanen_pipeline pipeline DistilBertForSequenceClassification from Ramanen
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_ramanen_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ramanen_pipeline` is a English model originally trained by Ramanen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ramanen_pipeline_en_5.5.0_3.0_1726889120186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ramanen_pipeline_en_5.5.0_3.0_1726889120186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_ramanen_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_ramanen_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_ramanen_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Ramanen/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_vladcarare_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_vladcarare_en.md
new file mode 100644
index 00000000000000..a8d9bc012f490b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_vladcarare_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_vladcarare DistilBertForSequenceClassification from VladCarare
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_vladcarare
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_vladcarare` is a English model originally trained by VladCarare.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vladcarare_en_5.5.0_3.0_1726884586527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vladcarare_en_5.5.0_3.0_1726884586527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_vladcarare|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/VladCarare/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_vladcarare_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_vladcarare_pipeline_en.md
new file mode 100644
index 00000000000000..f0facb87ff346c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_3000_samples_vladcarare_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_vladcarare_pipeline pipeline DistilBertForSequenceClassification from VladCarare
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_vladcarare_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_vladcarare_pipeline` is a English model originally trained by VladCarare.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vladcarare_pipeline_en_5.5.0_3.0_1726884598423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vladcarare_pipeline_en_5.5.0_3.0_1726884598423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_3000_samples_vladcarare_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_vladcarare_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_vladcarare_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/VladCarare/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_uzb_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_uzb_en.md
new file mode 100644
index 00000000000000..a1b98e38fd018d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_uzb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_uzb DistilBertForSequenceClassification from blackhole33
+author: John Snow Labs
+name: finetuning_sentiment_model_uzb
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_uzb` is a English model originally trained by blackhole33.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_uzb_en_5.5.0_3.0_1726884887679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_uzb_en_5.5.0_3.0_1726884887679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_uzb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/blackhole33/finetuning-sentiment-model-uzb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_uzb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_uzb_pipeline_en.md
new file mode 100644
index 00000000000000..c72c293cee8dfd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finetuning_sentiment_model_uzb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_uzb_pipeline pipeline DistilBertForSequenceClassification from blackhole33
+author: John Snow Labs
+name: finetuning_sentiment_model_uzb_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_uzb_pipeline` is a English model originally trained by blackhole33.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_uzb_pipeline_en_5.5.0_3.0_1726884899813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_uzb_pipeline_en_5.5.0_3.0_1726884899813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_uzb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_uzb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_uzb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/blackhole33/finetuning-sentiment-model-uzb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-finnews_sentimentanalysis_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-finnews_sentimentanalysis_v1_pipeline_en.md
new file mode 100644
index 00000000000000..d346e4fcdc3cbb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-finnews_sentimentanalysis_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finnews_sentimentanalysis_v1_pipeline pipeline DistilBertForSequenceClassification from JoanParanoid
+author: John Snow Labs
+name: finnews_sentimentanalysis_v1_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finnews_sentimentanalysis_v1_pipeline` is a English model originally trained by JoanParanoid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finnews_sentimentanalysis_v1_pipeline_en_5.5.0_3.0_1726953452749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finnews_sentimentanalysis_v1_pipeline_en_5.5.0_3.0_1726953452749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finnews_sentimentanalysis_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finnews_sentimentanalysis_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finnews_sentimentanalysis_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/JoanParanoid/FinNews_SentimentAnalysis_v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-fintunned_v2_roberta_irish_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-fintunned_v2_roberta_irish_pipeline_en.md
new file mode 100644
index 00000000000000..1377ca3bbf2ddf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-fintunned_v2_roberta_irish_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fintunned_v2_roberta_irish_pipeline pipeline RoBertaForSequenceClassification from nebiyu29
+author: John Snow Labs
+name: fintunned_v2_roberta_irish_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fintunned_v2_roberta_irish_pipeline` is a English model originally trained by nebiyu29.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fintunned_v2_roberta_irish_pipeline_en_5.5.0_3.0_1726900252789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fintunned_v2_roberta_irish_pipeline_en_5.5.0_3.0_1726900252789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fintunned_v2_roberta_irish_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fintunned_v2_roberta_irish_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fintunned_v2_roberta_irish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|435.3 MB|
+
+## References
+
+https://huggingface.co/nebiyu29/fintunned-v2-roberta_GA
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-firmner_v2_small_en.md b/docs/_posts/ahmedlone127/2024-09-21-firmner_v2_small_en.md
new file mode 100644
index 00000000000000..92f44c32e805db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-firmner_v2_small_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English firmner_v2_small BertForTokenClassification from loyoladatamining
+author: John Snow Labs
+name: firmner_v2_small
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`firmner_v2_small` is a English model originally trained by loyoladatamining.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/firmner_v2_small_en_5.5.0_3.0_1726889728528.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/firmner_v2_small_en_5.5.0_3.0_1726889728528.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frozen_news_classifier_ft|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|1.8 GB|
+
+## References
+
+https://huggingface.co/data-silence/frozen_news_classifier_ft
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-ft_english_10maa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-ft_english_10maa_pipeline_en.md
new file mode 100644
index 00000000000000..2f51cc5d07260f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-ft_english_10maa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English ft_english_10maa_pipeline pipeline WhisperForCTC from Pageee
+author: John Snow Labs
+name: ft_english_10maa_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ft_english_10maa_pipeline` is a English model originally trained by Pageee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ft_english_10maa_pipeline_en_5.5.0_3.0_1726913000741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ft_english_10maa_pipeline_en_5.5.0_3.0_1726913000741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ft_english_10maa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ft_english_10maa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ft_english_10maa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Pageee/FT-English-10maa
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-ghpoliticsbert_en.md b/docs/_posts/ahmedlone127/2024-09-21-ghpoliticsbert_en.md
new file mode 100644
index 00000000000000..44d688c68f6458
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-ghpoliticsbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ghpoliticsbert RoBertaEmbeddings from JoAmps
+author: John Snow Labs
+name: ghpoliticsbert
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ghpoliticsbert` is a English model originally trained by JoAmps.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ghpoliticsbert_en_5.5.0_3.0_1726943756034.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ghpoliticsbert_en_5.5.0_3.0_1726943756034.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ghpoliticsbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/JoAmps/GhPoliticsBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-ghpoliticsbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-ghpoliticsbert_pipeline_en.md
new file mode 100644
index 00000000000000..094a0ddc31e5f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-ghpoliticsbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ghpoliticsbert_pipeline pipeline RoBertaEmbeddings from JoAmps
+author: John Snow Labs
+name: ghpoliticsbert_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ghpoliticsbert_pipeline` is a English model originally trained by JoAmps.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ghpoliticsbert_pipeline_en_5.5.0_3.0_1726943770610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ghpoliticsbert_pipeline_en_5.5.0_3.0_1726943770610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ghpoliticsbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ghpoliticsbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ghpoliticsbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/JoAmps/GhPoliticsBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-ground_english_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-ground_english_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..7cec08e2a574aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-ground_english_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ground_english_roberta_base_pipeline pipeline RoBertaEmbeddings from dreamerdeo
+author: John Snow Labs
+name: ground_english_roberta_base_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ground_english_roberta_base_pipeline` is a English model originally trained by dreamerdeo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ground_english_roberta_base_pipeline_en_5.5.0_3.0_1726934685904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ground_english_roberta_base_pipeline_en_5.5.0_3.0_1726934685904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ground_english_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ground_english_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ground_english_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.2 MB|
+
+## References
+
+https://huggingface.co/dreamerdeo/ground-en-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_random0_seed0_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_random0_seed0_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..92bbce1a083aaf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_random0_seed0_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_hate_balance_random0_seed0_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_random0_seed0_bernice_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_random0_seed0_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random0_seed0_bernice_pipeline_en_5.5.0_3.0_1726933410534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random0_seed0_bernice_pipeline_en_5.5.0_3.0_1726933410534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_hate_balance_random0_seed0_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_hate_balance_random0_seed0_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_random0_seed0_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|783.4 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_random0_seed0-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_random2_seed1_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_random2_seed1_bernice_en.md
new file mode 100644
index 00000000000000..6395c398be5bab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_random2_seed1_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_balance_random2_seed1_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_random2_seed1_bernice
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_random2_seed1_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random2_seed1_bernice_en_5.5.0_3.0_1726918596987.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random2_seed1_bernice_en_5.5.0_3.0_1726918596987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_random2_seed1_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|783.5 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_random2_seed1-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_random2_seed1_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_random2_seed1_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..fa3681c0417994
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_random2_seed1_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_hate_balance_random2_seed1_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_random2_seed1_bernice_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_random2_seed1_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random2_seed1_bernice_pipeline_en_5.5.0_3.0_1726918742539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random2_seed1_bernice_pipeline_en_5.5.0_3.0_1726918742539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_hate_balance_random2_seed1_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_hate_balance_random2_seed1_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_random2_seed1_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|783.5 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_random2_seed1-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_temporal_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_temporal_bernice_en.md
new file mode 100644
index 00000000000000..1ef53fe6a479fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_temporal_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_balance_temporal_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_temporal_bernice
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_temporal_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_temporal_bernice_en_5.5.0_3.0_1726918123464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_temporal_bernice_en_5.5.0_3.0_1726918123464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_temporal_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|783.6 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_temporal-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_temporal_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_temporal_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..e651f731eab514
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-hate_hate_balance_temporal_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_hate_balance_temporal_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_temporal_bernice_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_temporal_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_temporal_bernice_pipeline_en_5.5.0_3.0_1726918268977.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_temporal_bernice_pipeline_en_5.5.0_3.0_1726918268977.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_hate_balance_temporal_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_hate_balance_temporal_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_temporal_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|783.7 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_temporal-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-helf_tiny_english_en.md b/docs/_posts/ahmedlone127/2024-09-21-helf_tiny_english_en.md
new file mode 100644
index 00000000000000..b08915ef1dca78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-helf_tiny_english_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English helf_tiny_english WhisperForCTC from ChitNan
+author: John Snow Labs
+name: helf_tiny_english
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`helf_tiny_english` is a English model originally trained by ChitNan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helf_tiny_english_en_5.5.0_3.0_1726937788711.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helf_tiny_english_en_5.5.0_3.0_1726937788711.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helf_tiny_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.8 MB|
+
+## References
+
+https://huggingface.co/ChitNan/helf-tiny-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-helf_tiny_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-helf_tiny_english_pipeline_en.md
new file mode 100644
index 00000000000000..6f3e3a906524db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-helf_tiny_english_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English helf_tiny_english_pipeline pipeline WhisperForCTC from ChitNan
+author: John Snow Labs
+name: helf_tiny_english_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`helf_tiny_english_pipeline` is a English model originally trained by ChitNan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helf_tiny_english_pipeline_en_5.5.0_3.0_1726937808954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helf_tiny_english_pipeline_en_5.5.0_3.0_1726937808954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("helf_tiny_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("helf_tiny_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helf_tiny_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.8 MB|
+
+## References
+
+https://huggingface.co/ChitNan/helf-tiny-en
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-hin_trac2_en.md b/docs/_posts/ahmedlone127/2024-09-21-hin_trac2_en.md
new file mode 100644
index 00000000000000..fa26f6fbfda102
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-hin_trac2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hin_trac2 BertForSequenceClassification from Maha
+author: John Snow Labs
+name: hin_trac2
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hin_trac2` is a English model originally trained by Maha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hin_trac2_en_5.5.0_3.0_1726956335279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hin_trac2_en_5.5.0_3.0_1726956335279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hin_trac2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/Maha/hin-trac2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-hin_trac2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-hin_trac2_pipeline_en.md
new file mode 100644
index 00000000000000..8d57e8a81bd91c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-hin_trac2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hin_trac2_pipeline pipeline BertForSequenceClassification from Maha
+author: John Snow Labs
+name: hin_trac2_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hin_trac2_pipeline` is a English model originally trained by Maha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hin_trac2_pipeline_en_5.5.0_3.0_1726956366178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hin_trac2_pipeline_en_5.5.0_3.0_1726956366178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hin_trac2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hin_trac2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hin_trac2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/Maha/hin-trac2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-homework001_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-homework001_pipeline_en.md
new file mode 100644
index 00000000000000..ca8b9788c2b911
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-homework001_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English homework001_pipeline pipeline DistilBertForSequenceClassification from andyWuTw
+author: John Snow Labs
+name: homework001_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`homework001_pipeline` is a English model originally trained by andyWuTw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/homework001_pipeline_en_5.5.0_3.0_1726923754709.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/homework001_pipeline_en_5.5.0_3.0_1726923754709.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("homework001_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("homework001_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|homework001_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/andyWuTw/homework001
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-hp_book_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-21-hp_book_classifier_en.md
new file mode 100644
index 00000000000000..db802cfb5f5c9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-hp_book_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hp_book_classifier RoBertaForSequenceClassification from chrisliu298
+author: John Snow Labs
+name: hp_book_classifier
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hp_book_classifier` is a English model originally trained by chrisliu298.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hp_book_classifier_en_5.5.0_3.0_1726900160127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hp_book_classifier_en_5.5.0_3.0_1726900160127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hp_book_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|454.7 MB|
+
+## References
+
+https://huggingface.co/chrisliu298/hp_book_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-hp_book_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-hp_book_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..3297ec6dc3c331
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-hp_book_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hp_book_classifier_pipeline pipeline RoBertaForSequenceClassification from chrisliu298
+author: John Snow Labs
+name: hp_book_classifier_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hp_book_classifier_pipeline` is a English model originally trained by chrisliu298.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hp_book_classifier_pipeline_en_5.5.0_3.0_1726900181337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hp_book_classifier_pipeline_en_5.5.0_3.0_1726900181337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hp_book_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hp_book_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hp_book_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|454.8 MB|
+
+## References
+
+https://huggingface.co/chrisliu298/hp_book_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-inlegalbert_en.md b/docs/_posts/ahmedlone127/2024-09-21-inlegalbert_en.md
new file mode 100644
index 00000000000000..ae4bd58d121ee7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-inlegalbert_en.md
@@ -0,0 +1,92 @@
+---
+layout: model
+title: English inlegalbert BertEmbeddings from law-ai
+author: John Snow Labs
+name: inlegalbert
+date: 2024-09-21
+tags: [bert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`inlegalbert` is a English model originally trained by law-ai.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inlegalbert_en_5.5.0_3.0_1726956471784.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inlegalbert_en_5.5.0_3.0_1726956471784.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|japanese_fine_tuned_whisper_model_nadiaholmlund|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ja|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/NadiaHolmlund/Japanese_Fine_Tuned_Whisper_Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-japanese_fine_tuned_whisper_model_nadiaholmlund_pipeline_ja.md b/docs/_posts/ahmedlone127/2024-09-21-japanese_fine_tuned_whisper_model_nadiaholmlund_pipeline_ja.md
new file mode 100644
index 00000000000000..aff9f49667bb0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-japanese_fine_tuned_whisper_model_nadiaholmlund_pipeline_ja.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Japanese japanese_fine_tuned_whisper_model_nadiaholmlund_pipeline pipeline WhisperForCTC from NadiaHolmlund
+author: John Snow Labs
+name: japanese_fine_tuned_whisper_model_nadiaholmlund_pipeline
+date: 2024-09-21
+tags: [ja, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ja
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`japanese_fine_tuned_whisper_model_nadiaholmlund_pipeline` is a Japanese model originally trained by NadiaHolmlund.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/japanese_fine_tuned_whisper_model_nadiaholmlund_pipeline_ja_5.5.0_3.0_1726904533776.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/japanese_fine_tuned_whisper_model_nadiaholmlund_pipeline_ja_5.5.0_3.0_1726904533776.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("japanese_fine_tuned_whisper_model_nadiaholmlund_pipeline", lang = "ja")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("japanese_fine_tuned_whisper_model_nadiaholmlund_pipeline", lang = "ja")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|japanese_fine_tuned_whisper_model_nadiaholmlund_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ja|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/NadiaHolmlund/Japanese_Fine_Tuned_Whisper_Model
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-m2_mlm_en.md b/docs/_posts/ahmedlone127/2024-09-21-m2_mlm_en.md
new file mode 100644
index 00000000000000..8b9c7602cc31b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-m2_mlm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English m2_mlm RoBertaEmbeddings from S2312dal
+author: John Snow Labs
+name: m2_mlm
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`m2_mlm` is a English model originally trained by S2312dal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/m2_mlm_en_5.5.0_3.0_1726934340884.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/m2_mlm_en_5.5.0_3.0_1726934340884.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malasar_asr_final|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|nan|
+|Size:|4.8 GB|
+
+## References
+
+https://huggingface.co/basilkr/Malasar_ASr_Final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-malayalam_news_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-malayalam_news_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..0e44f0fcb42332
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-malayalam_news_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English malayalam_news_classifier_pipeline pipeline XlmRoBertaForSequenceClassification from rajeshradhakrishnan
+author: John Snow Labs
+name: malayalam_news_classifier_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malayalam_news_classifier_pipeline` is a English model originally trained by rajeshradhakrishnan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malayalam_news_classifier_pipeline_en_5.5.0_3.0_1726918614546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malayalam_news_classifier_pipeline_en_5.5.0_3.0_1726918614546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("malayalam_news_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("malayalam_news_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malayalam_news_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|777.4 MB|
+
+## References
+
+https://huggingface.co/rajeshradhakrishnan/malayalam_news_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-markuus_bert_base_multilingual_squad_cqa_english_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-21-markuus_bert_base_multilingual_squad_cqa_english_pipeline_xx.md
new file mode 100644
index 00000000000000..8108cdd38929e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-markuus_bert_base_multilingual_squad_cqa_english_pipeline_xx.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Multilingual markuus_bert_base_multilingual_squad_cqa_english_pipeline pipeline BertForQuestionAnswering from imrazaa
+author: John Snow Labs
+name: markuus_bert_base_multilingual_squad_cqa_english_pipeline
+date: 2024-09-21
+tags: [xx, open_source, pipeline, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`markuus_bert_base_multilingual_squad_cqa_english_pipeline` is a Multilingual model originally trained by imrazaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/markuus_bert_base_multilingual_squad_cqa_english_pipeline_xx_5.5.0_3.0_1726946516988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/markuus_bert_base_multilingual_squad_cqa_english_pipeline_xx_5.5.0_3.0_1726946516988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("markuus_bert_base_multilingual_squad_cqa_english_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("markuus_bert_base_multilingual_squad_cqa_english_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|markuus_bert_base_multilingual_squad_cqa_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/imrazaa/markuus-bert-base-multilingual-squad-cqa-en
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-markuus_bert_base_multilingual_squad_cqa_english_xx.md b/docs/_posts/ahmedlone127/2024-09-21-markuus_bert_base_multilingual_squad_cqa_english_xx.md
new file mode 100644
index 00000000000000..b971308a4d1272
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-markuus_bert_base_multilingual_squad_cqa_english_xx.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: Multilingual markuus_bert_base_multilingual_squad_cqa_english BertForQuestionAnswering from imrazaa
+author: John Snow Labs
+name: markuus_bert_base_multilingual_squad_cqa_english
+date: 2024-09-21
+tags: [xx, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`markuus_bert_base_multilingual_squad_cqa_english` is a Multilingual model originally trained by imrazaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/markuus_bert_base_multilingual_squad_cqa_english_xx_5.5.0_3.0_1726946487722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/markuus_bert_base_multilingual_squad_cqa_english_xx_5.5.0_3.0_1726946487722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maskedberton|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|311.4 MB|
+
+## References
+
+https://huggingface.co/jeremierostan/maskedBERTon
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-maskedberton_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-maskedberton_pipeline_en.md
new file mode 100644
index 00000000000000..f275b2f4501053
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-maskedberton_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English maskedberton_pipeline pipeline RoBertaEmbeddings from jeremierostan
+author: John Snow Labs
+name: maskedberton_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`maskedberton_pipeline` is a English model originally trained by jeremierostan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/maskedberton_pipeline_en_5.5.0_3.0_1726958075588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maskedberton_pipeline_en_5.5.0_3.0_1726958075588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("maskedberton_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("maskedberton_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maskedberton_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|311.5 MB|
+
+## References
+
+https://huggingface.co/jeremierostan/maskedBERTon
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-medium_24_2_tpu_timestamped_prob_0_2_en.md b/docs/_posts/ahmedlone127/2024-09-21-medium_24_2_tpu_timestamped_prob_0_2_en.md
new file mode 100644
index 00000000000000..0486b18fce1ee9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-medium_24_2_tpu_timestamped_prob_0_2_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English medium_24_2_tpu_timestamped_prob_0_2 WhisperForCTC from sanchit-gandhi
+author: John Snow Labs
+name: medium_24_2_tpu_timestamped_prob_0_2
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medium_24_2_tpu_timestamped_prob_0_2` is a English model originally trained by sanchit-gandhi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medium_24_2_tpu_timestamped_prob_0_2_en_5.5.0_3.0_1726912640380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medium_24_2_tpu_timestamped_prob_0_2_en_5.5.0_3.0_1726912640380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medium_24_2_tpu_timestamped_prob_0_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.8 GB|
+
+## References
+
+https://huggingface.co/sanchit-gandhi/medium-24-2-tpu-timestamped-prob-0.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-medium_24_2_tpu_timestamped_prob_0_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-medium_24_2_tpu_timestamped_prob_0_2_pipeline_en.md
new file mode 100644
index 00000000000000..ec992929deba4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-medium_24_2_tpu_timestamped_prob_0_2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English medium_24_2_tpu_timestamped_prob_0_2_pipeline pipeline WhisperForCTC from sanchit-gandhi
+author: John Snow Labs
+name: medium_24_2_tpu_timestamped_prob_0_2_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medium_24_2_tpu_timestamped_prob_0_2_pipeline` is a English model originally trained by sanchit-gandhi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medium_24_2_tpu_timestamped_prob_0_2_pipeline_en_5.5.0_3.0_1726912899567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medium_24_2_tpu_timestamped_prob_0_2_pipeline_en_5.5.0_3.0_1726912899567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("medium_24_2_tpu_timestamped_prob_0_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("medium_24_2_tpu_timestamped_prob_0_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medium_24_2_tpu_timestamped_prob_0_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.8 GB|
+
+## References
+
+https://huggingface.co/sanchit-gandhi/medium-24-2-tpu-timestamped-prob-0.2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-minilmv2_l6_h768_distilled_from_roberta_large_finetuned_wikitext103_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-minilmv2_l6_h768_distilled_from_roberta_large_finetuned_wikitext103_pipeline_en.md
new file mode 100644
index 00000000000000..90d0be61e1d145
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-minilmv2_l6_h768_distilled_from_roberta_large_finetuned_wikitext103_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English minilmv2_l6_h768_distilled_from_roberta_large_finetuned_wikitext103_pipeline pipeline RoBertaEmbeddings from saghar
+author: John Snow Labs
+name: minilmv2_l6_h768_distilled_from_roberta_large_finetuned_wikitext103_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`minilmv2_l6_h768_distilled_from_roberta_large_finetuned_wikitext103_pipeline` is a English model originally trained by saghar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilmv2_l6_h768_distilled_from_roberta_large_finetuned_wikitext103_pipeline_en_5.5.0_3.0_1726943671538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilmv2_l6_h768_distilled_from_roberta_large_finetuned_wikitext103_pipeline_en_5.5.0_3.0_1726943671538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("minilmv2_l6_h768_distilled_from_roberta_large_finetuned_wikitext103_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("minilmv2_l6_h768_distilled_from_roberta_large_finetuned_wikitext103_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilmv2_l6_h768_distilled_from_roberta_large_finetuned_wikitext103_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|196.0 MB|
+
+## References
+
+https://huggingface.co/saghar/MiniLMv2-L6-H768-distilled-from-RoBERTa-Large-finetuned-wikitext103
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-mlroberta_en.md b/docs/_posts/ahmedlone127/2024-09-21-mlroberta_en.md
new file mode 100644
index 00000000000000..206a436c0cd86b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-mlroberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mlroberta RoBertaEmbeddings from shrutisingh
+author: John Snow Labs
+name: mlroberta
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mlroberta` is a English model originally trained by shrutisingh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlroberta_en_5.5.0_3.0_1726942219409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlroberta_en_5.5.0_3.0_1726942219409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlroberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|311.7 MB|
+
+## References
+
+https://huggingface.co/shrutisingh/MLRoBERTa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-model_1_cannotbolt_en.md b/docs/_posts/ahmedlone127/2024-09-21-model_1_cannotbolt_en.md
new file mode 100644
index 00000000000000..65f18bd04d9ed4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-model_1_cannotbolt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_1_cannotbolt BertForSequenceClassification from cannotbolt
+author: John Snow Labs
+name: model_1_cannotbolt
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_1_cannotbolt` is a English model originally trained by cannotbolt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_1_cannotbolt_en_5.5.0_3.0_1726956305698.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_1_cannotbolt_en_5.5.0_3.0_1726956305698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_1_cannotbolt|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/cannotbolt/model_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-model_leotrim_en.md b/docs/_posts/ahmedlone127/2024-09-21-model_leotrim_en.md
new file mode 100644
index 00000000000000..afeaca582c1343
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-model_leotrim_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_leotrim DistilBertForSequenceClassification from Leotrim
+author: John Snow Labs
+name: model_leotrim
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_leotrim` is a English model originally trained by Leotrim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_leotrim_en_5.5.0_3.0_1726889039574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_leotrim_en_5.5.0_3.0_1726889039574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_leotrim|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Leotrim/model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-model_leotrim_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-model_leotrim_pipeline_en.md
new file mode 100644
index 00000000000000..2f478ec5d609b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-model_leotrim_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model_leotrim_pipeline pipeline DistilBertForSequenceClassification from Leotrim
+author: John Snow Labs
+name: model_leotrim_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_leotrim_pipeline` is a English model originally trained by Leotrim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_leotrim_pipeline_en_5.5.0_3.0_1726889052238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_leotrim_pipeline_en_5.5.0_3.0_1726889052238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model_leotrim_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model_leotrim_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_leotrim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Leotrim/model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-model_mental_williamywy_en.md b/docs/_posts/ahmedlone127/2024-09-21-model_mental_williamywy_en.md
new file mode 100644
index 00000000000000..53fbc127ae83a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-model_mental_williamywy_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_mental_williamywy DistilBertForSequenceClassification from WilliamYWY
+author: John Snow Labs
+name: model_mental_williamywy
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_mental_williamywy` is a English model originally trained by WilliamYWY.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_mental_williamywy_en_5.5.0_3.0_1726923778353.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_mental_williamywy_en_5.5.0_3.0_1726923778353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_mental_williamywy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/WilliamYWY/model_mental
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-movie_remarks_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-21-movie_remarks_classifier_en.md
new file mode 100644
index 00000000000000..39ef44c9185264
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-movie_remarks_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English movie_remarks_classifier DistilBertForSequenceClassification from Liusuthu
+author: John Snow Labs
+name: movie_remarks_classifier
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movie_remarks_classifier` is a English model originally trained by Liusuthu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_remarks_classifier_en_5.5.0_3.0_1726884999895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_remarks_classifier_en_5.5.0_3.0_1726884999895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_remarks_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Liusuthu/movie_remarks_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-movie_remarks_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-movie_remarks_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..57728d8cc8e0a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-movie_remarks_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English movie_remarks_classifier_pipeline pipeline DistilBertForSequenceClassification from Liusuthu
+author: John Snow Labs
+name: movie_remarks_classifier_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movie_remarks_classifier_pipeline` is a English model originally trained by Liusuthu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_remarks_classifier_pipeline_en_5.5.0_3.0_1726885011838.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_remarks_classifier_pipeline_en_5.5.0_3.0_1726885011838.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("movie_remarks_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("movie_remarks_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_remarks_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Liusuthu/movie_remarks_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-mu_phobert_v1_en.md b/docs/_posts/ahmedlone127/2024-09-21-mu_phobert_v1_en.md
new file mode 100644
index 00000000000000..826742f590d45f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-mu_phobert_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mu_phobert_v1 RoBertaEmbeddings from keepitreal
+author: John Snow Labs
+name: mu_phobert_v1
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mu_phobert_v1` is a English model originally trained by keepitreal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mu_phobert_v1_en_5.5.0_3.0_1726942224178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mu_phobert_v1_en_5.5.0_3.0_1726942224178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mu_phobert_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|349.4 MB|
+
+## References
+
+https://huggingface.co/keepitreal/mu-phobert-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-mu_phobert_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-mu_phobert_v1_pipeline_en.md
new file mode 100644
index 00000000000000..7c72bd27973c2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-mu_phobert_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mu_phobert_v1_pipeline pipeline RoBertaEmbeddings from keepitreal
+author: John Snow Labs
+name: mu_phobert_v1_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mu_phobert_v1_pipeline` is a English model originally trained by keepitreal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mu_phobert_v1_pipeline_en_5.5.0_3.0_1726942241085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mu_phobert_v1_pipeline_en_5.5.0_3.0_1726942241085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mu_phobert_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mu_phobert_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mu_phobert_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|349.4 MB|
+
+## References
+
+https://huggingface.co/keepitreal/mu-phobert-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-multiclass_model_en.md b/docs/_posts/ahmedlone127/2024-09-21-multiclass_model_en.md
new file mode 100644
index 00000000000000..3dc0b68bbd24cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-multiclass_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English multiclass_model XlmRoBertaForSequenceClassification from Maximich
+author: John Snow Labs
+name: multiclass_model
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multiclass_model` is a English model originally trained by Maximich.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multiclass_model_en_5.5.0_3.0_1726933013317.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multiclass_model_en_5.5.0_3.0_1726933013317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multiclass_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|821.3 MB|
+
+## References
+
+https://huggingface.co/Maximich/multiclass-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-multiclass_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-multiclass_model_pipeline_en.md
new file mode 100644
index 00000000000000..051e8842020744
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-multiclass_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English multiclass_model_pipeline pipeline XlmRoBertaForSequenceClassification from Maximich
+author: John Snow Labs
+name: multiclass_model_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multiclass_model_pipeline` is a English model originally trained by Maximich.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multiclass_model_pipeline_en_5.5.0_3.0_1726933124280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multiclass_model_pipeline_en_5.5.0_3.0_1726933124280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("multiclass_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("multiclass_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multiclass_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|821.4 MB|
+
+## References
+
+https://huggingface.co/Maximich/multiclass-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-nbbert_ed1_en.md b/docs/_posts/ahmedlone127/2024-09-21-nbbert_ed1_en.md
new file mode 100644
index 00000000000000..ba06f806e313b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-nbbert_ed1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nbbert_ed1 BertForSequenceClassification from yemen2016
+author: John Snow Labs
+name: nbbert_ed1
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nbbert_ed1` is a English model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nbbert_ed1_en_5.5.0_3.0_1726956035993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nbbert_ed1_en_5.5.0_3.0_1726956035993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nbbert_ed1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|668.4 MB|
+
+## References
+
+https://huggingface.co/yemen2016/nbbert_ED1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-nbbert_ed1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-nbbert_ed1_pipeline_en.md
new file mode 100644
index 00000000000000..67ee52ffb5b3e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-nbbert_ed1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nbbert_ed1_pipeline pipeline BertForSequenceClassification from yemen2016
+author: John Snow Labs
+name: nbbert_ed1_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nbbert_ed1_pipeline` is a English model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nbbert_ed1_pipeline_en_5.5.0_3.0_1726956066713.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nbbert_ed1_pipeline_en_5.5.0_3.0_1726956066713.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nbbert_ed1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nbbert_ed1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nbbert_ed1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|668.5 MB|
+
+## References
+
+https://huggingface.co/yemen2016/nbbert_ED1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-nlp_hf_workshop_amirai24_en.md b/docs/_posts/ahmedlone127/2024-09-21-nlp_hf_workshop_amirai24_en.md
new file mode 100644
index 00000000000000..3bde48eb353d18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-nlp_hf_workshop_amirai24_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp_hf_workshop_amirai24 DistilBertForSequenceClassification from AmirAI24
+author: John Snow Labs
+name: nlp_hf_workshop_amirai24
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_hf_workshop_amirai24` is a English model originally trained by AmirAI24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_hf_workshop_amirai24_en_5.5.0_3.0_1726884828274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_hf_workshop_amirai24_en_5.5.0_3.0_1726884828274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|odyssey_test_9|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/zoe145768586678/odyssey-test-9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-odyssey_test_9_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-odyssey_test_9_pipeline_en.md
new file mode 100644
index 00000000000000..adbe6f2f5f1d54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-odyssey_test_9_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English odyssey_test_9_pipeline pipeline WhisperForCTC from zoe145768586678
+author: John Snow Labs
+name: odyssey_test_9_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`odyssey_test_9_pipeline` is a English model originally trained by zoe145768586678.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/odyssey_test_9_pipeline_en_5.5.0_3.0_1726877065139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/odyssey_test_9_pipeline_en_5.5.0_3.0_1726877065139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("odyssey_test_9_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("odyssey_test_9_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|odyssey_test_9_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/zoe145768586678/odyssey-test-9
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-openai_whisper_tiny_spanish_ecu911_2_es.md b/docs/_posts/ahmedlone127/2024-09-21-openai_whisper_tiny_spanish_ecu911_2_es.md
new file mode 100644
index 00000000000000..f5680182355972
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-openai_whisper_tiny_spanish_ecu911_2_es.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Castilian, Spanish openai_whisper_tiny_spanish_ecu911_2 WhisperForCTC from DanielMarquez
+author: John Snow Labs
+name: openai_whisper_tiny_spanish_ecu911_2
+date: 2024-09-21
+tags: [es, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`openai_whisper_tiny_spanish_ecu911_2` is a Castilian, Spanish model originally trained by DanielMarquez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/openai_whisper_tiny_spanish_ecu911_2_es_5.5.0_3.0_1726891604555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/openai_whisper_tiny_spanish_ecu911_2_es_5.5.0_3.0_1726891604555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|openai_whisper_tiny_spanish_ecu911_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|es|
+|Size:|379.6 MB|
+
+## References
+
+https://huggingface.co/DanielMarquez/openai-whisper-tiny-es_ecu911-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-openai_whisper_tiny_spanish_ecu911_2_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-21-openai_whisper_tiny_spanish_ecu911_2_pipeline_es.md
new file mode 100644
index 00000000000000..ececbed4b2babb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-openai_whisper_tiny_spanish_ecu911_2_pipeline_es.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Castilian, Spanish openai_whisper_tiny_spanish_ecu911_2_pipeline pipeline WhisperForCTC from DanielMarquez
+author: John Snow Labs
+name: openai_whisper_tiny_spanish_ecu911_2_pipeline
+date: 2024-09-21
+tags: [es, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`openai_whisper_tiny_spanish_ecu911_2_pipeline` is a Castilian, Spanish model originally trained by DanielMarquez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/openai_whisper_tiny_spanish_ecu911_2_pipeline_es_5.5.0_3.0_1726891627975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/openai_whisper_tiny_spanish_ecu911_2_pipeline_es_5.5.0_3.0_1726891627975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("openai_whisper_tiny_spanish_ecu911_2_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("openai_whisper_tiny_spanish_ecu911_2_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|openai_whisper_tiny_spanish_ecu911_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|379.6 MB|
+
+## References
+
+https://huggingface.co/DanielMarquez/openai-whisper-tiny-es_ecu911-2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-outputs_kyumeo_en.md b/docs/_posts/ahmedlone127/2024-09-21-outputs_kyumeo_en.md
new file mode 100644
index 00000000000000..bfac7da336e84b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-outputs_kyumeo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English outputs_kyumeo DistilBertForSequenceClassification from Kyumeo
+author: John Snow Labs
+name: outputs_kyumeo
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`outputs_kyumeo` is a English model originally trained by Kyumeo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/outputs_kyumeo_en_5.5.0_3.0_1726924204731.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/outputs_kyumeo_en_5.5.0_3.0_1726924204731.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|outputs_kyumeo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kyumeo/outputs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-outputs_kyumeo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-outputs_kyumeo_pipeline_en.md
new file mode 100644
index 00000000000000..bb2f5eb68223fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-outputs_kyumeo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English outputs_kyumeo_pipeline pipeline DistilBertForSequenceClassification from Kyumeo
+author: John Snow Labs
+name: outputs_kyumeo_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`outputs_kyumeo_pipeline` is a English model originally trained by Kyumeo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/outputs_kyumeo_pipeline_en_5.5.0_3.0_1726924217060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/outputs_kyumeo_pipeline_en_5.5.0_3.0_1726924217060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("outputs_kyumeo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("outputs_kyumeo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|outputs_kyumeo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kyumeo/outputs
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-plot_classification_en.md b/docs/_posts/ahmedlone127/2024-09-21-plot_classification_en.md
new file mode 100644
index 00000000000000..3ae9f9d8fb9f0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-plot_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English plot_classification DistilBertForSequenceClassification from dduy193
+author: John Snow Labs
+name: plot_classification
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`plot_classification` is a English model originally trained by dduy193.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/plot_classification_en_5.5.0_3.0_1726953531871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/plot_classification_en_5.5.0_3.0_1726953531871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|plot_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dduy193/plot-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-plot_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-plot_classification_pipeline_en.md
new file mode 100644
index 00000000000000..0cb08dec6a7da9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-plot_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English plot_classification_pipeline pipeline DistilBertForSequenceClassification from dduy193
+author: John Snow Labs
+name: plot_classification_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`plot_classification_pipeline` is a English model originally trained by dduy193.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/plot_classification_pipeline_en_5.5.0_3.0_1726953544027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/plot_classification_pipeline_en_5.5.0_3.0_1726953544027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("plot_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("plot_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|plot_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dduy193/plot-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-pmp_h256_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-21-pmp_h256_pipeline_zh.md
new file mode 100644
index 00000000000000..d022bdf3960331
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-pmp_h256_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese pmp_h256_pipeline pipeline BertForTokenClassification from rickltt
+author: John Snow Labs
+name: pmp_h256_pipeline
+date: 2024-09-21
+tags: [zh, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pmp_h256_pipeline` is a Chinese model originally trained by rickltt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pmp_h256_pipeline_zh_5.5.0_3.0_1726881193340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pmp_h256_pipeline_zh_5.5.0_3.0_1726881193340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pmp_h256_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pmp_h256_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pmp_h256_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|38.7 MB|
+
+## References
+
+https://huggingface.co/rickltt/pmp-h256
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-pmp_h256_zh.md b/docs/_posts/ahmedlone127/2024-09-21-pmp_h256_zh.md
new file mode 100644
index 00000000000000..87d731c6e55000
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-pmp_h256_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese pmp_h256 BertForTokenClassification from rickltt
+author: John Snow Labs
+name: pmp_h256
+date: 2024-09-21
+tags: [zh, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pmp_h256` is a Chinese model originally trained by rickltt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pmp_h256_zh_5.5.0_3.0_1726881191136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pmp_h256_zh_5.5.0_3.0_1726881191136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pmp_h256|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|zh|
+|Size:|38.7 MB|
+
+## References
+
+https://huggingface.co/rickltt/pmp-h256
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-predict_perception_xlmr_cause_none_en.md b/docs/_posts/ahmedlone127/2024-09-21-predict_perception_xlmr_cause_none_en.md
new file mode 100644
index 00000000000000..e2740b38201613
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-predict_perception_xlmr_cause_none_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English predict_perception_xlmr_cause_none XlmRoBertaForSequenceClassification from responsibility-framing
+author: John Snow Labs
+name: predict_perception_xlmr_cause_none
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`predict_perception_xlmr_cause_none` is a English model originally trained by responsibility-framing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/predict_perception_xlmr_cause_none_en_5.5.0_3.0_1726918107795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/predict_perception_xlmr_cause_none_en_5.5.0_3.0_1726918107795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|predict_perception_xlmr_cause_none|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|837.6 MB|
+
+## References
+
+https://huggingface.co/responsibility-framing/predict-perception-xlmr-cause-none
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-predict_perception_xlmr_cause_none_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-predict_perception_xlmr_cause_none_pipeline_en.md
new file mode 100644
index 00000000000000..84b80a7f26a6dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-predict_perception_xlmr_cause_none_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English predict_perception_xlmr_cause_none_pipeline pipeline XlmRoBertaForSequenceClassification from responsibility-framing
+author: John Snow Labs
+name: predict_perception_xlmr_cause_none_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`predict_perception_xlmr_cause_none_pipeline` is a English model originally trained by responsibility-framing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/predict_perception_xlmr_cause_none_pipeline_en_5.5.0_3.0_1726918172732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/predict_perception_xlmr_cause_none_pipeline_en_5.5.0_3.0_1726918172732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("predict_perception_xlmr_cause_none_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("predict_perception_xlmr_cause_none_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|predict_perception_xlmr_cause_none_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|837.6 MB|
+
+## References
+
+https://huggingface.co/responsibility-framing/predict-perception-xlmr-cause-none
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-pretrained_distilroberta_on_ireland_tweets_en.md b/docs/_posts/ahmedlone127/2024-09-21-pretrained_distilroberta_on_ireland_tweets_en.md
new file mode 100644
index 00000000000000..c9d2e56755bab7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-pretrained_distilroberta_on_ireland_tweets_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English pretrained_distilroberta_on_ireland_tweets RoBertaEmbeddings from mitra-mir
+author: John Snow Labs
+name: pretrained_distilroberta_on_ireland_tweets
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pretrained_distilroberta_on_ireland_tweets` is a English model originally trained by mitra-mir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pretrained_distilroberta_on_ireland_tweets_en_5.5.0_3.0_1726934056013.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pretrained_distilroberta_on_ireland_tweets_en_5.5.0_3.0_1726934056013.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ptcrawl_base_v1_5__checkpoint1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|296.9 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/ptcrawl_base_v1_5__checkpoint1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-ptcrawl_base_v1_5__checkpoint1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-ptcrawl_base_v1_5__checkpoint1_pipeline_en.md
new file mode 100644
index 00000000000000..07048f598ca35f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-ptcrawl_base_v1_5__checkpoint1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ptcrawl_base_v1_5__checkpoint1_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: ptcrawl_base_v1_5__checkpoint1_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ptcrawl_base_v1_5__checkpoint1_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ptcrawl_base_v1_5__checkpoint1_pipeline_en_5.5.0_3.0_1726882204847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ptcrawl_base_v1_5__checkpoint1_pipeline_en_5.5.0_3.0_1726882204847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ptcrawl_base_v1_5__checkpoint1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ptcrawl_base_v1_5__checkpoint1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ptcrawl_base_v1_5__checkpoint1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|296.9 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/ptcrawl_base_v1_5__checkpoint1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-reanker_en.md b/docs/_posts/ahmedlone127/2024-09-21-reanker_en.md
new file mode 100644
index 00000000000000..35b8f6a184b789
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-reanker_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English reanker XlmRoBertaForSequenceClassification from YoungPanda
+author: John Snow Labs
+name: reanker
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`reanker` is a English model originally trained by YoungPanda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/reanker_en_5.5.0_3.0_1726932810830.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/reanker_en_5.5.0_3.0_1726932810830.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|reanker|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|993.9 MB|
+
+## References
+
+https://huggingface.co/YoungPanda/Reanker
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-reanker_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-reanker_pipeline_en.md
new file mode 100644
index 00000000000000..c8777728335582
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-reanker_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English reanker_pipeline pipeline XlmRoBertaForSequenceClassification from YoungPanda
+author: John Snow Labs
+name: reanker_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`reanker_pipeline` is a English model originally trained by YoungPanda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/reanker_pipeline_en_5.5.0_3.0_1726932860857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/reanker_pipeline_en_5.5.0_3.0_1726932860857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("reanker_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("reanker_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|reanker_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|993.9 MB|
+
+## References
+
+https://huggingface.co/YoungPanda/Reanker
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-recipes_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-21-recipes_roberta_base_en.md
new file mode 100644
index 00000000000000..b02b1190a89a59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-recipes_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English recipes_roberta_base RoBertaEmbeddings from AnonymousSub
+author: John Snow Labs
+name: recipes_roberta_base
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`recipes_roberta_base` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/recipes_roberta_base_en_5.5.0_3.0_1726934281815.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/recipes_roberta_base_en_5.5.0_3.0_1726934281815.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|recipes_roberta_base_norwegian_ingr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/AnonymousSub/recipes-roberta-base-no-ingr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-recipes_roberta_base_norwegian_ingr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-recipes_roberta_base_norwegian_ingr_pipeline_en.md
new file mode 100644
index 00000000000000..65b69a0bfe71cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-recipes_roberta_base_norwegian_ingr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English recipes_roberta_base_norwegian_ingr_pipeline pipeline RoBertaEmbeddings from AnonymousSub
+author: John Snow Labs
+name: recipes_roberta_base_norwegian_ingr_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`recipes_roberta_base_norwegian_ingr_pipeline` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/recipes_roberta_base_norwegian_ingr_pipeline_en_5.5.0_3.0_1726942480286.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/recipes_roberta_base_norwegian_ingr_pipeline_en_5.5.0_3.0_1726942480286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("recipes_roberta_base_norwegian_ingr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("recipes_roberta_base_norwegian_ingr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|recipes_roberta_base_norwegian_ingr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/AnonymousSub/recipes-roberta-base-no-ingr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-robbert_2023_dutch_large_nelf_ft_lcn_en.md b/docs/_posts/ahmedlone127/2024-09-21-robbert_2023_dutch_large_nelf_ft_lcn_en.md
new file mode 100644
index 00000000000000..c3ef06fc9571fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-robbert_2023_dutch_large_nelf_ft_lcn_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English robbert_2023_dutch_large_nelf_ft_lcn RoBertaEmbeddings from btamm12
+author: John Snow Labs
+name: robbert_2023_dutch_large_nelf_ft_lcn
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robbert_2023_dutch_large_nelf_ft_lcn` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robbert_2023_dutch_large_nelf_ft_lcn_en_5.5.0_3.0_1726943979755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robbert_2023_dutch_large_nelf_ft_lcn_en_5.5.0_3.0_1726943979755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robbert_2023_dutch_large_nelf_ft_lcn|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/btamm12/robbert-2023-dutch-large-nelf-ft-lcn
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-robbert_2023_dutch_large_nelf_ft_lcn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-robbert_2023_dutch_large_nelf_ft_lcn_pipeline_en.md
new file mode 100644
index 00000000000000..a9f9ac57dff1a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-robbert_2023_dutch_large_nelf_ft_lcn_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English robbert_2023_dutch_large_nelf_ft_lcn_pipeline pipeline RoBertaEmbeddings from btamm12
+author: John Snow Labs
+name: robbert_2023_dutch_large_nelf_ft_lcn_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robbert_2023_dutch_large_nelf_ft_lcn_pipeline` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robbert_2023_dutch_large_nelf_ft_lcn_pipeline_en_5.5.0_3.0_1726944041391.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robbert_2023_dutch_large_nelf_ft_lcn_pipeline_en_5.5.0_3.0_1726944041391.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("robbert_2023_dutch_large_nelf_ft_lcn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("robbert_2023_dutch_large_nelf_ft_lcn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robbert_2023_dutch_large_nelf_ft_lcn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/btamm12/robbert-2023-dutch-large-nelf-ft-lcn
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-robbert_cosmetic_v2_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-robbert_cosmetic_v2_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..705f562add0e65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-robbert_cosmetic_v2_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English robbert_cosmetic_v2_finetuned_pipeline pipeline RoBertaEmbeddings from ymelka
+author: John Snow Labs
+name: robbert_cosmetic_v2_finetuned_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robbert_cosmetic_v2_finetuned_pipeline` is a English model originally trained by ymelka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robbert_cosmetic_v2_finetuned_pipeline_en_5.5.0_3.0_1726934446697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robbert_cosmetic_v2_finetuned_pipeline_en_5.5.0_3.0_1726934446697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("robbert_cosmetic_v2_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("robbert_cosmetic_v2_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robbert_cosmetic_v2_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.8 MB|
+
+## References
+
+https://huggingface.co/ymelka/robbert-cosmetic-v2-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-robert_bpe_zinc100k_en.md b/docs/_posts/ahmedlone127/2024-09-21-robert_bpe_zinc100k_en.md
new file mode 100644
index 00000000000000..a41fb5485a0771
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-robert_bpe_zinc100k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English robert_bpe_zinc100k RoBertaEmbeddings from rifkat
+author: John Snow Labs
+name: robert_bpe_zinc100k
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robert_bpe_zinc100k` is a English model originally trained by rifkat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robert_bpe_zinc100k_en_5.5.0_3.0_1726958158477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robert_bpe_zinc100k_en_5.5.0_3.0_1726958158477.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robert_bpe_zinc100k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|310.5 MB|
+
+## References
+
+https://huggingface.co/rifkat/robert_BPE_zinc100k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-robert_bpe_zinc100k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-robert_bpe_zinc100k_pipeline_en.md
new file mode 100644
index 00000000000000..9dccf23c3bf7d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-robert_bpe_zinc100k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English robert_bpe_zinc100k_pipeline pipeline RoBertaEmbeddings from rifkat
+author: John Snow Labs
+name: robert_bpe_zinc100k_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robert_bpe_zinc100k_pipeline` is a English model originally trained by rifkat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robert_bpe_zinc100k_pipeline_en_5.5.0_3.0_1726958173503.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robert_bpe_zinc100k_pipeline_en_5.5.0_3.0_1726958173503.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("robert_bpe_zinc100k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("robert_bpe_zinc100k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robert_bpe_zinc100k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|310.5 MB|
+
+## References
+
+https://huggingface.co/rifkat/robert_BPE_zinc100k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_arabic_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_arabic_en.md
new file mode 100644
index 00000000000000..fc624cfc01a041
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_arabic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_arabic RoBertaEmbeddings from gagan3012
+author: John Snow Labs
+name: roberta_arabic
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_arabic` is a English model originally trained by gagan3012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_arabic_en_5.5.0_3.0_1726943844113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_arabic_en_5.5.0_3.0_1726943844113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_arabic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/gagan3012/roberta-ar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_arabic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_arabic_pipeline_en.md
new file mode 100644
index 00000000000000..b8681b4cefa326
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_arabic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_arabic_pipeline pipeline RoBertaEmbeddings from gagan3012
+author: John Snow Labs
+name: roberta_arabic_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_arabic_pipeline` is a English model originally trained by gagan3012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_arabic_pipeline_en_5.5.0_3.0_1726943865679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_arabic_pipeline_en_5.5.0_3.0_1726943865679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_arabic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_arabic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_arabic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/gagan3012/roberta-ar
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_atomic_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_atomic_en.md
new file mode 100644
index 00000000000000..ed112ae69342ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_atomic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_atomic RoBertaEmbeddings from ClovenDoug
+author: John Snow Labs
+name: roberta_atomic
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_atomic` is a English model originally trained by ClovenDoug.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_atomic_en_5.5.0_3.0_1726943609207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_atomic_en_5.5.0_3.0_1726943609207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_atomic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|8.7 MB|
+
+## References
+
+https://huggingface.co/ClovenDoug/roberta-atomic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_atomic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_atomic_pipeline_en.md
new file mode 100644
index 00000000000000..d59f92c2b21d7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_atomic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_atomic_pipeline pipeline RoBertaEmbeddings from ClovenDoug
+author: John Snow Labs
+name: roberta_atomic_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_atomic_pipeline` is a English model originally trained by ClovenDoug.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_atomic_pipeline_en_5.5.0_3.0_1726943610176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_atomic_pipeline_en_5.5.0_3.0_1726943610176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_atomic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_atomic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_atomic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|8.7 MB|
+
+## References
+
+https://huggingface.co/ClovenDoug/roberta-atomic
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_bne_finetuned_tass2020_rogelioplatt_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_bne_finetuned_tass2020_rogelioplatt_en.md
new file mode 100644
index 00000000000000..4853878b11053c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_bne_finetuned_tass2020_rogelioplatt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_tass2020_rogelioplatt RoBertaEmbeddings from rogelioplatt
+author: John Snow Labs
+name: roberta_base_bne_finetuned_tass2020_rogelioplatt
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_tass2020_rogelioplatt` is a English model originally trained by rogelioplatt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_tass2020_rogelioplatt_en_5.5.0_3.0_1726958099483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_tass2020_rogelioplatt_en_5.5.0_3.0_1726958099483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_tass2020_rogelioplatt|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|463.7 MB|
+
+## References
+
+https://huggingface.co/rogelioplatt/roberta-base-bne-finetuned-Tass2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_chatgpt_and_reddit_qa_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_chatgpt_and_reddit_qa_en.md
new file mode 100644
index 00000000000000..0ba2c360ce47ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_chatgpt_and_reddit_qa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_chatgpt_and_reddit_qa RoBertaForSequenceClassification from fahrialfiansyah
+author: John Snow Labs
+name: roberta_base_chatgpt_and_reddit_qa
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_chatgpt_and_reddit_qa` is a English model originally trained by fahrialfiansyah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_chatgpt_and_reddit_qa_en_5.5.0_3.0_1726899933427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_chatgpt_and_reddit_qa_en_5.5.0_3.0_1726899933427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_chatgpt_and_reddit_qa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.6 MB|
+
+## References
+
+https://huggingface.co/fahrialfiansyah/roberta-base_chatgpt_and_reddit_qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_chatgpt_and_reddit_qa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_chatgpt_and_reddit_qa_pipeline_en.md
new file mode 100644
index 00000000000000..292bb3a81c8dc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_chatgpt_and_reddit_qa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_chatgpt_and_reddit_qa_pipeline pipeline RoBertaForSequenceClassification from fahrialfiansyah
+author: John Snow Labs
+name: roberta_base_chatgpt_and_reddit_qa_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_chatgpt_and_reddit_qa_pipeline` is a English model originally trained by fahrialfiansyah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_chatgpt_and_reddit_qa_pipeline_en_5.5.0_3.0_1726899958502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_chatgpt_and_reddit_qa_pipeline_en_5.5.0_3.0_1726899958502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_chatgpt_and_reddit_qa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_chatgpt_and_reddit_qa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_chatgpt_and_reddit_qa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|436.6 MB|
+
+## References
+
+https://huggingface.co/fahrialfiansyah/roberta-base_chatgpt_and_reddit_qa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_disaster_tweets_hail_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_disaster_tweets_hail_en.md
new file mode 100644
index 00000000000000..8b228f77992bee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_disaster_tweets_hail_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_disaster_tweets_hail RoBertaForSequenceClassification from maxschlake
+author: John Snow Labs
+name: roberta_base_disaster_tweets_hail
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_disaster_tweets_hail` is a English model originally trained by maxschlake.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_disaster_tweets_hail_en_5.5.0_3.0_1726900869751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_disaster_tweets_hail_en_5.5.0_3.0_1726900869751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_disaster_tweets_hail|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|448.6 MB|
+
+## References
+
+https://huggingface.co/maxschlake/roberta-base_disaster_tweets_hail
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_disaster_tweets_hail_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_disaster_tweets_hail_pipeline_en.md
new file mode 100644
index 00000000000000..9da8d7a2ba5584
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_disaster_tweets_hail_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_disaster_tweets_hail_pipeline pipeline RoBertaForSequenceClassification from maxschlake
+author: John Snow Labs
+name: roberta_base_disaster_tweets_hail_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_disaster_tweets_hail_pipeline` is a English model originally trained by maxschlake.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_disaster_tweets_hail_pipeline_en_5.5.0_3.0_1726900893078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_disaster_tweets_hail_pipeline_en_5.5.0_3.0_1726900893078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_disaster_tweets_hail_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_disaster_tweets_hail_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_disaster_tweets_hail_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|448.6 MB|
+
+## References
+
+https://huggingface.co/maxschlake/roberta-base_disaster_tweets_hail
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_47_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_47_pipeline_en.md
new file mode 100644
index 00000000000000..e41116d8d60a7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_47_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_47_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_47_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_47_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_47_pipeline_en_5.5.0_3.0_1726957977606.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_47_pipeline_en_5.5.0_3.0_1726957977606.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_47_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_47_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_47_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_47
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_67_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_67_en.md
new file mode 100644
index 00000000000000..dd8ea2ee32c15e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_67_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_epoch_67 RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_67
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_67` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_67_en_5.5.0_3.0_1726934455815.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_67_en_5.5.0_3.0_1726934455815.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_67|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_67
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_67_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_67_pipeline_en.md
new file mode 100644
index 00000000000000..d8b5873ba52233
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_67_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_67_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_67_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_67_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_67_pipeline_en_5.5.0_3.0_1726934537960.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_67_pipeline_en_5.5.0_3.0_1726934537960.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_67_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_67_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_67_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_67
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_77_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_77_en.md
new file mode 100644
index 00000000000000..3cdf714f354c33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_77_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_epoch_77 RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_77
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_77` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_77_en_5.5.0_3.0_1726942419570.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_77_en_5.5.0_3.0_1726942419570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_77|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_77
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_77_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_77_pipeline_en.md
new file mode 100644
index 00000000000000..6c25d3e7e841b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_epoch_77_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_77_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_77_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_77_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_77_pipeline_en_5.5.0_3.0_1726942506753.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_77_pipeline_en_5.5.0_3.0_1726942506753.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_77_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_77_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_77_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_77
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_abs_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_abs_en.md
new file mode 100644
index 00000000000000..4c8f4f5142bf74
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_abs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_abs RoBertaEmbeddings from Transabrar
+author: John Snow Labs
+name: roberta_base_finetuned_abs
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_abs` is a English model originally trained by Transabrar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_abs_en_5.5.0_3.0_1726957887138.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_abs_en_5.5.0_3.0_1726957887138.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_abs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|464.7 MB|
+
+## References
+
+https://huggingface.co/Transabrar/roberta-base-finetuned-abs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_abs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_abs_pipeline_en.md
new file mode 100644
index 00000000000000..047e2e798a9fa9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_abs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_abs_pipeline pipeline RoBertaEmbeddings from Transabrar
+author: John Snow Labs
+name: roberta_base_finetuned_abs_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_abs_pipeline` is a English model originally trained by Transabrar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_abs_pipeline_en_5.5.0_3.0_1726957910586.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_abs_pipeline_en_5.5.0_3.0_1726957910586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_abs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_abs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_abs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.7 MB|
+
+## References
+
+https://huggingface.co/Transabrar/roberta-base-finetuned-abs
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_wallisian_manual_10ep_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_wallisian_manual_10ep_en.md
new file mode 100644
index 00000000000000..4ab14228eef6f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_wallisian_manual_10ep_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_wallisian_manual_10ep RoBertaEmbeddings from btamm12
+author: John Snow Labs
+name: roberta_base_finetuned_wallisian_manual_10ep
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_wallisian_manual_10ep` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_wallisian_manual_10ep_en_5.5.0_3.0_1726882372636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_wallisian_manual_10ep_en_5.5.0_3.0_1726882372636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_wallisian_manual_10ep|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.2 MB|
+
+## References
+
+https://huggingface.co/btamm12/roberta-base-finetuned-wls-manual-10ep
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_wallisian_manual_10ep_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_wallisian_manual_10ep_pipeline_en.md
new file mode 100644
index 00000000000000..ea152da4ef027e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_wallisian_manual_10ep_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_wallisian_manual_10ep_pipeline pipeline RoBertaEmbeddings from btamm12
+author: John Snow Labs
+name: roberta_base_finetuned_wallisian_manual_10ep_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_wallisian_manual_10ep_pipeline` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_wallisian_manual_10ep_pipeline_en_5.5.0_3.0_1726882397361.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_wallisian_manual_10ep_pipeline_en_5.5.0_3.0_1726882397361.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_wallisian_manual_10ep_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_wallisian_manual_10ep_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_wallisian_manual_10ep_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.2 MB|
+
+## References
+
+https://huggingface.co/btamm12/roberta-base-finetuned-wls-manual-10ep
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_wallisian_whisper_5ep_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_wallisian_whisper_5ep_pipeline_en.md
new file mode 100644
index 00000000000000..6c638a932bca85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_finetuned_wallisian_whisper_5ep_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_wallisian_whisper_5ep_pipeline pipeline RoBertaEmbeddings from btamm12
+author: John Snow Labs
+name: roberta_base_finetuned_wallisian_whisper_5ep_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_wallisian_whisper_5ep_pipeline` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_wallisian_whisper_5ep_pipeline_en_5.5.0_3.0_1726944004572.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_wallisian_whisper_5ep_pipeline_en_5.5.0_3.0_1726944004572.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_wallisian_whisper_5ep_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_wallisian_whisper_5ep_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_wallisian_whisper_5ep_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/btamm12/roberta-base-finetuned-wls-whisper-5ep
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_full_finetuned_ner_multi_label_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_full_finetuned_ner_multi_label_en.md
new file mode 100644
index 00000000000000..80eeee65c774cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_full_finetuned_ner_multi_label_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_full_finetuned_ner_multi_label RoBertaForTokenClassification from DDDacc
+author: John Snow Labs
+name: roberta_base_full_finetuned_ner_multi_label
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_full_finetuned_ner_multi_label` is a English model originally trained by DDDacc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_full_finetuned_ner_multi_label_en_5.5.0_3.0_1726926399537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_full_finetuned_ner_multi_label_en_5.5.0_3.0_1726926399537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_full_finetuned_ner_multi_label|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|427.3 MB|
+
+## References
+
+https://huggingface.co/DDDacc/RoBERTa-Base-full-finetuned-ner-multi-label
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_full_finetuned_ner_multi_label_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_full_finetuned_ner_multi_label_pipeline_en.md
new file mode 100644
index 00000000000000..bad3c165597c2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_full_finetuned_ner_multi_label_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_full_finetuned_ner_multi_label_pipeline pipeline RoBertaForTokenClassification from DDDacc
+author: John Snow Labs
+name: roberta_base_full_finetuned_ner_multi_label_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_full_finetuned_ner_multi_label_pipeline` is a English model originally trained by DDDacc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_full_finetuned_ner_multi_label_pipeline_en_5.5.0_3.0_1726926428036.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_full_finetuned_ner_multi_label_pipeline_en_5.5.0_3.0_1726926428036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_full_finetuned_ner_multi_label_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_full_finetuned_ner_multi_label_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_full_finetuned_ner_multi_label_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|427.3 MB|
+
+## References
+
+https://huggingface.co/DDDacc/RoBERTa-Base-full-finetuned-ner-multi-label
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_last_2_chars_acl2023_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_last_2_chars_acl2023_en.md
new file mode 100644
index 00000000000000..ac79f4df6bf38e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_last_2_chars_acl2023_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_last_2_chars_acl2023 RoBertaEmbeddings from hitachi-nlp
+author: John Snow Labs
+name: roberta_base_last_2_chars_acl2023
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_last_2_chars_acl2023` is a English model originally trained by hitachi-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_last_2_chars_acl2023_en_5.5.0_3.0_1726934695970.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_last_2_chars_acl2023_en_5.5.0_3.0_1726934695970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_last_2_chars_acl2023|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.3 MB|
+
+## References
+
+https://huggingface.co/hitachi-nlp/roberta-base_last-2-chars_acl2023
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_wechsel_french_pipeline_fr.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_wechsel_french_pipeline_fr.md
new file mode 100644
index 00000000000000..c9b30118549fad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_wechsel_french_pipeline_fr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: French roberta_base_wechsel_french_pipeline pipeline RoBertaEmbeddings from benjamin
+author: John Snow Labs
+name: roberta_base_wechsel_french_pipeline
+date: 2024-09-21
+tags: [fr, open_source, pipeline, onnx]
+task: Embeddings
+language: fr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_wechsel_french_pipeline` is a French model originally trained by benjamin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_wechsel_french_pipeline_fr_5.5.0_3.0_1726882597336.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_wechsel_french_pipeline_fr_5.5.0_3.0_1726882597336.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_wechsel_french_pipeline", lang = "fr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_wechsel_french_pipeline", lang = "fr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_wechsel_french_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fr|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/benjamin/roberta-base-wechsel-french
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_cws_msr_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_cws_msr_en.md
new file mode 100644
index 00000000000000..d0e3df4b6f88f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_cws_msr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_cws_msr BertForTokenClassification from tjspross
+author: John Snow Labs
+name: roberta_cws_msr
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_cws_msr` is a English model originally trained by tjspross.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_cws_msr_en_5.5.0_3.0_1726890246005.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_cws_msr_en_5.5.0_3.0_1726890246005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_cws_msr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/tjspross/roberta_cws_msr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_cws_msr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_cws_msr_pipeline_en.md
new file mode 100644
index 00000000000000..ea5038d1928461
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_cws_msr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_cws_msr_pipeline pipeline BertForTokenClassification from tjspross
+author: John Snow Labs
+name: roberta_cws_msr_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_cws_msr_pipeline` is a English model originally trained by tjspross.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_cws_msr_pipeline_en_5.5.0_3.0_1726890301229.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_cws_msr_pipeline_en_5.5.0_3.0_1726890301229.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_cws_msr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_cws_msr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_cws_msr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/tjspross/roberta_cws_msr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_en.md
new file mode 100644
index 00000000000000..f4836c3026ad34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_en.md
@@ -0,0 +1,96 @@
+---
+layout: model
+title: English roberta RoBertaForTokenClassification from autosyrup
+author: John Snow Labs
+name: roberta
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta` is a English model originally trained by autosyrup.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_en_5.5.0_3.0_1726952857788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_en_5.5.0_3.0_1726952857788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_kubhist2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|sv|
+|Size:|289.0 MB|
+
+## References
+
+https://huggingface.co/ChangeIsKey/roberta-kubhist2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_large_bne_finetunedemoevent_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_bne_finetunedemoevent_en.md
new file mode 100644
index 00000000000000..1010a410c2089c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_bne_finetunedemoevent_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_bne_finetunedemoevent RoBertaForSequenceClassification from joancipria
+author: John Snow Labs
+name: roberta_large_bne_finetunedemoevent
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_bne_finetunedemoevent` is a English model originally trained by joancipria.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_bne_finetunedemoevent_en_5.5.0_3.0_1726900018210.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_bne_finetunedemoevent_en_5.5.0_3.0_1726900018210.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_bne_finetunedemoevent|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/joancipria/roberta-large-bne-FineTunedEmoEvent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_large_bne_finetunedemoevent_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_bne_finetunedemoevent_pipeline_en.md
new file mode 100644
index 00000000000000..67e0db58636d76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_bne_finetunedemoevent_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_bne_finetunedemoevent_pipeline pipeline RoBertaForSequenceClassification from joancipria
+author: John Snow Labs
+name: roberta_large_bne_finetunedemoevent_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_bne_finetunedemoevent_pipeline` is a English model originally trained by joancipria.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_bne_finetunedemoevent_pipeline_en_5.5.0_3.0_1726900092510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_bne_finetunedemoevent_pipeline_en_5.5.0_3.0_1726900092510.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_bne_finetunedemoevent_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_bne_finetunedemoevent_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_bne_finetunedemoevent_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/joancipria/roberta-large-bne-FineTunedEmoEvent
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_chunking_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_chunking_en.md
new file mode 100644
index 00000000000000..95efbd6226a208
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_chunking_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_finetuned_chunking BertForTokenClassification from mariolinml
+author: John Snow Labs
+name: roberta_large_finetuned_chunking
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_chunking` is a English model originally trained by mariolinml.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_chunking_en_5.5.0_3.0_1726889549745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_chunking_en_5.5.0_3.0_1726889549745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_chunking|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mariolinml/roberta-large-finetuned-chunking
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_disaster_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_disaster_en.md
new file mode 100644
index 00000000000000..62af4b2d448f76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_disaster_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_finetuned_disaster RoBertaForSequenceClassification from tiansz
+author: John Snow Labs
+name: roberta_large_finetuned_disaster
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_disaster` is a English model originally trained by tiansz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_disaster_en_5.5.0_3.0_1726900603445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_disaster_en_5.5.0_3.0_1726900603445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_disaster|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tiansz/roberta-large-finetuned-disaster
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_disaster_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_disaster_pipeline_en.md
new file mode 100644
index 00000000000000..c6299e6014a898
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_disaster_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_finetuned_disaster_pipeline pipeline RoBertaForSequenceClassification from tiansz
+author: John Snow Labs
+name: roberta_large_finetuned_disaster_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_disaster_pipeline` is a English model originally trained by tiansz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_disaster_pipeline_en_5.5.0_3.0_1726900670587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_disaster_pipeline_en_5.5.0_3.0_1726900670587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_finetuned_disaster_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_finetuned_disaster_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_disaster_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tiansz/roberta-large-finetuned-disaster
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_m_express_emo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_m_express_emo_pipeline_en.md
new file mode 100644
index 00000000000000..35d94cde50e205
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_finetuned_m_express_emo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_finetuned_m_express_emo_pipeline pipeline RoBertaForSequenceClassification from Gregorig
+author: John Snow Labs
+name: roberta_large_finetuned_m_express_emo_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_m_express_emo_pipeline` is a English model originally trained by Gregorig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_m_express_emo_pipeline_en_5.5.0_3.0_1726900497664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_m_express_emo_pipeline_en_5.5.0_3.0_1726900497664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_finetuned_m_express_emo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_finetuned_m_express_emo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_m_express_emo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Gregorig/roberta-large-finetuned-m_express_emo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_large_fp_sick_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_fp_sick_en.md
new file mode 100644
index 00000000000000..e518f971b06f95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_fp_sick_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_fp_sick RoBertaForSequenceClassification from varun-v-rao
+author: John Snow Labs
+name: roberta_large_fp_sick
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_fp_sick` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_fp_sick_en_5.5.0_3.0_1726940734034.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_fp_sick_en_5.5.0_3.0_1726940734034.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_fp_sick|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/varun-v-rao/roberta-large-fp-sick
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_large_pm_m3_voc_hf_finetuned_ner_yokesh456_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_pm_m3_voc_hf_finetuned_ner_yokesh456_pipeline_en.md
new file mode 100644
index 00000000000000..be746f6869ca26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_large_pm_m3_voc_hf_finetuned_ner_yokesh456_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_pm_m3_voc_hf_finetuned_ner_yokesh456_pipeline pipeline RoBertaForTokenClassification from yokesh456
+author: John Snow Labs
+name: roberta_large_pm_m3_voc_hf_finetuned_ner_yokesh456_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_pm_m3_voc_hf_finetuned_ner_yokesh456_pipeline` is a English model originally trained by yokesh456.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_pm_m3_voc_hf_finetuned_ner_yokesh456_pipeline_en_5.5.0_3.0_1726926903454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_pm_m3_voc_hf_finetuned_ner_yokesh456_pipeline_en_5.5.0_3.0_1726926903454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_pm_m3_voc_hf_finetuned_ner_yokesh456_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_pm_m3_voc_hf_finetuned_ner_yokesh456_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_pm_m3_voc_hf_finetuned_ner_yokesh456_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/yokesh456/RoBERTa-large-PM-M3-Voc-hf-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_legal_experiment_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_legal_experiment_en.md
new file mode 100644
index 00000000000000..0d2cfe05b533d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_legal_experiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_legal_experiment RoBertaForSequenceClassification from rkotcher
+author: John Snow Labs
+name: roberta_legal_experiment
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_legal_experiment` is a English model originally trained by rkotcher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_legal_experiment_en_5.5.0_3.0_1726900838710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_legal_experiment_en_5.5.0_3.0_1726900838710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_legal_experiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|422.1 MB|
+
+## References
+
+https://huggingface.co/rkotcher/roberta_legal_experiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_legal_experiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_legal_experiment_pipeline_en.md
new file mode 100644
index 00000000000000..d425bf2341270d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_legal_experiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_legal_experiment_pipeline pipeline RoBertaForSequenceClassification from rkotcher
+author: John Snow Labs
+name: roberta_legal_experiment_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_legal_experiment_pipeline` is a English model originally trained by rkotcher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_legal_experiment_pipeline_en_5.5.0_3.0_1726900874078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_legal_experiment_pipeline_en_5.5.0_3.0_1726900874078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_legal_experiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_legal_experiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_legal_experiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|422.1 MB|
+
+## References
+
+https://huggingface.co/rkotcher/roberta_legal_experiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_retrained_250k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_retrained_250k_pipeline_en.md
new file mode 100644
index 00000000000000..d043c5c14a5fab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_retrained_250k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_retrained_250k_pipeline pipeline RoBertaEmbeddings from bitsanlp
+author: John Snow Labs
+name: roberta_retrained_250k_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_retrained_250k_pipeline` is a English model originally trained by bitsanlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_retrained_250k_pipeline_en_5.5.0_3.0_1726934085300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_retrained_250k_pipeline_en_5.5.0_3.0_1726934085300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_retrained_250k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_retrained_250k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_retrained_250k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/bitsanlp/roberta-retrained-250k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_retrained_kunalr63_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_retrained_kunalr63_pipeline_en.md
new file mode 100644
index 00000000000000..f38f3b6399ea27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_retrained_kunalr63_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_retrained_kunalr63_pipeline pipeline RoBertaEmbeddings from kunalr63
+author: John Snow Labs
+name: roberta_retrained_kunalr63_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_retrained_kunalr63_pipeline` is a English model originally trained by kunalr63.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_retrained_kunalr63_pipeline_en_5.5.0_3.0_1726882369436.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_retrained_kunalr63_pipeline_en_5.5.0_3.0_1726882369436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_retrained_kunalr63_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_retrained_kunalr63_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_retrained_kunalr63_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/kunalr63/roberta-retrained
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_tagalog_base_ft_udpos213_top5lang_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_tagalog_base_ft_udpos213_top5lang_en.md
new file mode 100644
index 00000000000000..48d82c2f1dafa7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_tagalog_base_ft_udpos213_top5lang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_tagalog_base_ft_udpos213_top5lang RoBertaForTokenClassification from katrinatan
+author: John Snow Labs
+name: roberta_tagalog_base_ft_udpos213_top5lang
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tagalog_base_ft_udpos213_top5lang` is a English model originally trained by katrinatan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_top5lang_en_5.5.0_3.0_1726927034010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_top5lang_en_5.5.0_3.0_1726927034010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tagalog_base_ft_udpos213_top5lang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/katrinatan/roberta-tagalog-base-ft-udpos213-top5lang
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_tagalog_base_ft_udpos213_top5lang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_tagalog_base_ft_udpos213_top5lang_pipeline_en.md
new file mode 100644
index 00000000000000..a9fc1e93cf1ab9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_tagalog_base_ft_udpos213_top5lang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_tagalog_base_ft_udpos213_top5lang_pipeline pipeline RoBertaForTokenClassification from katrinatan
+author: John Snow Labs
+name: roberta_tagalog_base_ft_udpos213_top5lang_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tagalog_base_ft_udpos213_top5lang_pipeline` is a English model originally trained by katrinatan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_top5lang_pipeline_en_5.5.0_3.0_1726927051947.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_top5lang_pipeline_en_5.5.0_3.0_1726927051947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_tagalog_base_ft_udpos213_top5lang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_tagalog_base_ft_udpos213_top5lang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tagalog_base_ft_udpos213_top5lang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/katrinatan/roberta-tagalog-base-ft-udpos213-top5lang
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_tagalog_base_ft_udpos213_vietnamese_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_tagalog_base_ft_udpos213_vietnamese_en.md
new file mode 100644
index 00000000000000..fd802811090f33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_tagalog_base_ft_udpos213_vietnamese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_tagalog_base_ft_udpos213_vietnamese RoBertaForTokenClassification from hellojimson
+author: John Snow Labs
+name: roberta_tagalog_base_ft_udpos213_vietnamese
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tagalog_base_ft_udpos213_vietnamese` is a English model originally trained by hellojimson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_vietnamese_en_5.5.0_3.0_1726926747818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_vietnamese_en_5.5.0_3.0_1726926747818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tagalog_base_ft_udpos213_vietnamese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/hellojimson/roberta-tagalog-base-ft-udpos213-vi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_tagalog_base_ft_udpos213_vietnamese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_tagalog_base_ft_udpos213_vietnamese_pipeline_en.md
new file mode 100644
index 00000000000000..840792ff958615
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_tagalog_base_ft_udpos213_vietnamese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_tagalog_base_ft_udpos213_vietnamese_pipeline pipeline RoBertaForTokenClassification from hellojimson
+author: John Snow Labs
+name: roberta_tagalog_base_ft_udpos213_vietnamese_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tagalog_base_ft_udpos213_vietnamese_pipeline` is a English model originally trained by hellojimson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_vietnamese_pipeline_en_5.5.0_3.0_1726926765626.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_vietnamese_pipeline_en_5.5.0_3.0_1726926765626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_tagalog_base_ft_udpos213_vietnamese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_tagalog_base_ft_udpos213_vietnamese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tagalog_base_ft_udpos213_vietnamese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/hellojimson/roberta-tagalog-base-ft-udpos213-vi
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_v2_pipeline_en.md
new file mode 100644
index 00000000000000..cbac4a2f22c086
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_v2_pipeline pipeline RoBertaForTokenClassification from token-classifier
+author: John Snow Labs
+name: roberta_v2_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_v2_pipeline` is a English model originally trained by token-classifier.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_v2_pipeline_en_5.5.0_3.0_1726926724927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_v2_pipeline_en_5.5.0_3.0_1726926724927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/token-classifier/roBERTa-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-robertabaseallenai_ppt_occitan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-robertabaseallenai_ppt_occitan_pipeline_en.md
new file mode 100644
index 00000000000000..0e4b9c0e27d6fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-robertabaseallenai_ppt_occitan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English robertabaseallenai_ppt_occitan_pipeline pipeline RoBertaEmbeddings from mehrshadk
+author: John Snow Labs
+name: robertabaseallenai_ppt_occitan_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robertabaseallenai_ppt_occitan_pipeline` is a English model originally trained by mehrshadk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertabaseallenai_ppt_occitan_pipeline_en_5.5.0_3.0_1726882239465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertabaseallenai_ppt_occitan_pipeline_en_5.5.0_3.0_1726882239465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("robertabaseallenai_ppt_occitan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("robertabaseallenai_ppt_occitan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robertabaseallenai_ppt_occitan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/mehrshadk/robertaBaseAllenAI_ppt_OC
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-rubert_tiny2_cedr_russian_emotion_ru.md b/docs/_posts/ahmedlone127/2024-09-21-rubert_tiny2_cedr_russian_emotion_ru.md
new file mode 100644
index 00000000000000..b7cca0898ef6fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-rubert_tiny2_cedr_russian_emotion_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian rubert_tiny2_cedr_russian_emotion BertForSequenceClassification from seara
+author: John Snow Labs
+name: rubert_tiny2_cedr_russian_emotion
+date: 2024-09-21
+tags: [ru, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_tiny2_cedr_russian_emotion` is a Russian model originally trained by seara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_tiny2_cedr_russian_emotion_ru_5.5.0_3.0_1726955071913.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_tiny2_cedr_russian_emotion_ru_5.5.0_3.0_1726955071913.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_tiny2_cedr_russian_emotion|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|109.5 MB|
+
+## References
+
+https://huggingface.co/seara/rubert-tiny2-cedr-russian-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-scibert_ner_drugname_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-scibert_ner_drugname_pipeline_en.md
new file mode 100644
index 00000000000000..3a9789e3b10360
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-scibert_ner_drugname_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English scibert_ner_drugname_pipeline pipeline BertForTokenClassification from duytu
+author: John Snow Labs
+name: scibert_ner_drugname_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scibert_ner_drugname_pipeline` is a English model originally trained by duytu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_ner_drugname_pipeline_en_5.5.0_3.0_1726889582104.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_ner_drugname_pipeline_en_5.5.0_3.0_1726889582104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("scibert_ner_drugname_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("scibert_ner_drugname_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_ner_drugname_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/duytu/scibert_ner_drugname
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_en.md
new file mode 100644
index 00000000000000..b27980c7fc3f7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30 BertSentenceEmbeddings from AethiQs-Max
+author: John Snow Labs
+name: sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30` is a English model originally trained by AethiQs-Max.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_en_5.5.0_3.0_1726914062554.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_en_5.5.0_3.0_1726914062554.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/AethiQs-Max/aethiqs-base_bertje-data_rotterdam-epochs_30-epoch_30
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_pipeline_en.md
new file mode 100644
index 00000000000000..bc1c51f9de5d71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_pipeline pipeline BertSentenceEmbeddings from AethiQs-Max
+author: John Snow Labs
+name: sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_pipeline` is a English model originally trained by AethiQs-Max.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_pipeline_en_5.5.0_3.0_1726914081062.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_pipeline_en_5.5.0_3.0_1726914081062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_aethiqs_base_bertje_data_rotterdam_epochs_30_epoch_30_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/AethiQs-Max/aethiqs-base_bertje-data_rotterdam-epochs_30-epoch_30
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_arabertmo_base_v1_ar.md b/docs/_posts/ahmedlone127/2024-09-21-sent_arabertmo_base_v1_ar.md
new file mode 100644
index 00000000000000..be6e576b63bea5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_arabertmo_base_v1_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic sent_arabertmo_base_v1 BertSentenceEmbeddings from Ebtihal
+author: John Snow Labs
+name: sent_arabertmo_base_v1
+date: 2024-09-21
+tags: [ar, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_arabertmo_base_v1` is a Arabic model originally trained by Ebtihal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_arabertmo_base_v1_ar_5.5.0_3.0_1726913685204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_arabertmo_base_v1_ar_5.5.0_3.0_1726913685204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_arabertmo_base_v4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Ebtihal/AraBertMo_base_V4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_arabertmo_base_v7_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_arabertmo_base_v7_en.md
new file mode 100644
index 00000000000000..412ba59ac74799
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_arabertmo_base_v7_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_arabertmo_base_v7 BertSentenceEmbeddings from Ebtihal
+author: John Snow Labs
+name: sent_arabertmo_base_v7
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_arabertmo_base_v7` is a English model originally trained by Ebtihal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_arabertmo_base_v7_en_5.5.0_3.0_1726913831502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_arabertmo_base_v7_en_5.5.0_3.0_1726913831502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_arabertmo_base_v7|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Ebtihal/AraBertMo_base_V7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_french_spanish_cased_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_french_spanish_cased_en.md
new file mode 100644
index 00000000000000..59cf4d4bffb29d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_french_spanish_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_french_spanish_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_french_spanish_cased
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_french_spanish_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_spanish_cased_en_5.5.0_3.0_1726941760423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_spanish_cased_en_5.5.0_3.0_1726941760423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_french_spanish_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|433.1 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-es-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_french_spanish_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_french_spanish_cased_pipeline_en.md
new file mode 100644
index 00000000000000..9a28024847d2f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_french_spanish_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_french_spanish_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_french_spanish_cased_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_french_spanish_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_spanish_cased_pipeline_en_5.5.0_3.0_1726941780454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_spanish_cased_pipeline_en_5.5.0_3.0_1726941780454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_french_spanish_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_french_spanish_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_french_spanish_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|433.7 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-es-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_greek_modern_russian_cased_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_greek_modern_russian_cased_en.md
new file mode 100644
index 00000000000000..7dab268918d828
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_greek_modern_russian_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_greek_modern_russian_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_greek_modern_russian_cased
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_greek_modern_russian_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_greek_modern_russian_cased_en_5.5.0_3.0_1726941359004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_greek_modern_russian_cased_en_5.5.0_3.0_1726941359004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_greek_modern_russian_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|433.2 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-el-ru-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_hindi_cased_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_hindi_cased_en.md
new file mode 100644
index 00000000000000..a4a40a17463d69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_hindi_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_hindi_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_hindi_cased
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_hindi_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_hindi_cased_en_5.5.0_3.0_1726931761231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_hindi_cased_en_5.5.0_3.0_1726931761231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_hindi_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-hi-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_hindi_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_hindi_cased_pipeline_en.md
new file mode 100644
index 00000000000000..4d4c7d0725e174
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_hindi_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_hindi_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_hindi_cased_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_hindi_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_hindi_cased_pipeline_en_5.5.0_3.0_1726931782459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_hindi_cased_pipeline_en_5.5.0_3.0_1726931782459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_hindi_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_hindi_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_hindi_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.5 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-hi-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_spanish_italian_cased_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_spanish_italian_cased_en.md
new file mode 100644
index 00000000000000..9bbcf5890d12cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_spanish_italian_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_spanish_italian_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_spanish_italian_cased
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_spanish_italian_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_spanish_italian_cased_en_5.5.0_3.0_1726941501400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_spanish_italian_cased_en_5.5.0_3.0_1726941501400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_spanish_italian_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|431.6 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-es-it-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_spanish_italian_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_spanish_italian_cased_pipeline_en.md
new file mode 100644
index 00000000000000..138dd2acfd07ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_english_spanish_italian_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_spanish_italian_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_spanish_italian_cased_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_spanish_italian_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_spanish_italian_cased_pipeline_en_5.5.0_3.0_1726941521969.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_spanish_italian_cased_pipeline_en_5.5.0_3.0_1726941521969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_spanish_italian_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_spanish_italian_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_spanish_italian_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|432.1 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-es-it-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_multilingual_cased_finetuned_igbo_xx.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_multilingual_cased_finetuned_igbo_xx.md
new file mode 100644
index 00000000000000..5e886926f7480a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_multilingual_cased_finetuned_igbo_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual sent_bert_base_multilingual_cased_finetuned_igbo BertSentenceEmbeddings from Davlan
+author: John Snow Labs
+name: sent_bert_base_multilingual_cased_finetuned_igbo
+date: 2024-09-21
+tags: [xx, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_multilingual_cased_finetuned_igbo` is a Multilingual model originally trained by Davlan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_multilingual_cased_finetuned_igbo_xx_5.5.0_3.0_1726898372527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_multilingual_cased_finetuned_igbo_xx_5.5.0_3.0_1726898372527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_copy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/osanseviero/bert-base-uncased-copy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_copy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_copy_pipeline_en.md
new file mode 100644
index 00000000000000..e7891dfe394c61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_copy_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_copy_pipeline pipeline BertSentenceEmbeddings from osanseviero
+author: John Snow Labs
+name: sent_bert_base_uncased_copy_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_copy_pipeline` is a English model originally trained by osanseviero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_copy_pipeline_en_5.5.0_3.0_1726941920470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_copy_pipeline_en_5.5.0_3.0_1726941920470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_copy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_copy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_copy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/osanseviero/bert-base-uncased-copy
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_en.md
new file mode 100644
index 00000000000000..231eaea661a4fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower BertSentenceEmbeddings from btamm12
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_en_5.5.0_3.0_1726941522945.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_en_5.5.0_3.0_1726941522945.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/btamm12/bert-base-uncased-finetuned-wls-manual-10ep-lower
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_pipeline_en.md
new file mode 100644
index 00000000000000..67dd2ec59d86fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_pipeline pipeline BertSentenceEmbeddings from btamm12
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_pipeline` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_pipeline_en_5.5.0_3.0_1726941542654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_pipeline_en_5.5.0_3.0_1726941542654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_wallisian_manual_10ep_lower_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/btamm12/bert-base-uncased-finetuned-wls-manual-10ep-lower
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_en.md
new file mode 100644
index 00000000000000..71bcb81d59f735
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower BertSentenceEmbeddings from btamm12
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_en_5.5.0_3.0_1726914260503.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_en_5.5.0_3.0_1726914260503.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/btamm12/bert-base-uncased-finetuned-wls-manual-3ep-lower
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_pipeline_en.md
new file mode 100644
index 00000000000000..76e54761969b6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_pipeline pipeline BertSentenceEmbeddings from btamm12
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_pipeline` is a English model originally trained by btamm12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_pipeline_en_5.5.0_3.0_1726914278351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_pipeline_en_5.5.0_3.0_1726914278351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_wallisian_manual_3ep_lower_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/btamm12/bert-base-uncased-finetuned-wls-manual-3ep-lower
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_vn_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_vn_en.md
new file mode 100644
index 00000000000000..2d6d036214be21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_vn_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_vn BertSentenceEmbeddings from NlpHUST
+author: John Snow Labs
+name: sent_bert_base_vn
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_vn` is a English model originally trained by NlpHUST.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_vn_en_5.5.0_3.0_1726931737145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_vn_en_5.5.0_3.0_1726931737145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_vn|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|498.8 MB|
+
+## References
+
+https://huggingface.co/NlpHUST/bert-base-vn
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_vn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_vn_pipeline_en.md
new file mode 100644
index 00000000000000..739f824d2b09de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_base_vn_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_vn_pipeline pipeline BertSentenceEmbeddings from NlpHUST
+author: John Snow Labs
+name: sent_bert_base_vn_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_vn_pipeline` is a English model originally trained by NlpHUST.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_vn_pipeline_en_5.5.0_3.0_1726931759911.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_vn_pipeline_en_5.5.0_3.0_1726931759911.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_vn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_vn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_vn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|499.3 MB|
+
+## References
+
+https://huggingface.co/NlpHUST/bert-base-vn
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_e_base_mlm_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_e_base_mlm_en.md
new file mode 100644
index 00000000000000..75724c5d160b05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_e_base_mlm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_e_base_mlm BertSentenceEmbeddings from nasa-impact
+author: John Snow Labs
+name: sent_bert_e_base_mlm
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_e_base_mlm` is a English model originally trained by nasa-impact.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_e_base_mlm_en_5.5.0_3.0_1726913950367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_e_base_mlm_en_5.5.0_3.0_1726913950367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_e_base_mlm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/nasa-impact/bert-e-base-mlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_e_base_mlm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_e_base_mlm_pipeline_en.md
new file mode 100644
index 00000000000000..dec7616b9511d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_e_base_mlm_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_e_base_mlm_pipeline pipeline BertSentenceEmbeddings from nasa-impact
+author: John Snow Labs
+name: sent_bert_e_base_mlm_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_e_base_mlm_pipeline` is a English model originally trained by nasa-impact.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_e_base_mlm_pipeline_en_5.5.0_3.0_1726913969047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_e_base_mlm_pipeline_en_5.5.0_3.0_1726913969047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_e_base_mlm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_e_base_mlm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_e_base_mlm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.4 MB|
+
+## References
+
+https://huggingface.co/nasa-impact/bert-e-base-mlm
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_large_contrastive_self_supervised_acl2020_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_large_contrastive_self_supervised_acl2020_en.md
new file mode 100644
index 00000000000000..95d983ee954f31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_large_contrastive_self_supervised_acl2020_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_large_contrastive_self_supervised_acl2020 BertSentenceEmbeddings from sap-ai-research
+author: John Snow Labs
+name: sent_bert_large_contrastive_self_supervised_acl2020
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_large_contrastive_self_supervised_acl2020` is a English model originally trained by sap-ai-research.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_large_contrastive_self_supervised_acl2020_en_5.5.0_3.0_1726931442096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_large_contrastive_self_supervised_acl2020_en_5.5.0_3.0_1726931442096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_large_contrastive_self_supervised_acl2020|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/sap-ai-research/BERT-Large-Contrastive-Self-Supervised-ACL2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_large_contrastive_self_supervised_acl2020_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_large_contrastive_self_supervised_acl2020_pipeline_en.md
new file mode 100644
index 00000000000000..c042341977d776
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_large_contrastive_self_supervised_acl2020_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_large_contrastive_self_supervised_acl2020_pipeline pipeline BertSentenceEmbeddings from sap-ai-research
+author: John Snow Labs
+name: sent_bert_large_contrastive_self_supervised_acl2020_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_large_contrastive_self_supervised_acl2020_pipeline` is a English model originally trained by sap-ai-research.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_large_contrastive_self_supervised_acl2020_pipeline_en_5.5.0_3.0_1726931498893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_large_contrastive_self_supervised_acl2020_pipeline_en_5.5.0_3.0_1726931498893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_large_contrastive_self_supervised_acl2020_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_large_contrastive_self_supervised_acl2020_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_large_contrastive_self_supervised_acl2020_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/sap-ai-research/BERT-Large-Contrastive-Self-Supervised-ACL2020
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_mlm_armas_inga_estrella_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_mlm_armas_inga_estrella_en.md
new file mode 100644
index 00000000000000..05a15f0c18ef7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_mlm_armas_inga_estrella_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_mlm_armas_inga_estrella BertSentenceEmbeddings from JFernandoGRE
+author: John Snow Labs
+name: sent_bert_mlm_armas_inga_estrella
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_mlm_armas_inga_estrella` is a English model originally trained by JFernandoGRE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_mlm_armas_inga_estrella_en_5.5.0_3.0_1726913862288.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_mlm_armas_inga_estrella_en_5.5.0_3.0_1726913862288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_mlm_armas_inga_estrella|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/JFernandoGRE/bert_mlm_ARMAS_INGA_ESTRELLA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bert_mlm_armas_inga_estrella_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_mlm_armas_inga_estrella_pipeline_en.md
new file mode 100644
index 00000000000000..2a6aef20f57869
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bert_mlm_armas_inga_estrella_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_mlm_armas_inga_estrella_pipeline pipeline BertSentenceEmbeddings from JFernandoGRE
+author: John Snow Labs
+name: sent_bert_mlm_armas_inga_estrella_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_mlm_armas_inga_estrella_pipeline` is a English model originally trained by JFernandoGRE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_mlm_armas_inga_estrella_pipeline_en_5.5.0_3.0_1726913881158.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_mlm_armas_inga_estrella_pipeline_en_5.5.0_3.0_1726913881158.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_mlm_armas_inga_estrella_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_mlm_armas_inga_estrella_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_mlm_armas_inga_estrella_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.2 MB|
+
+## References
+
+https://huggingface.co/JFernandoGRE/bert_mlm_ARMAS_INGA_ESTRELLA
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_bertimbau_large_fine_tuned_sindhi_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_bertimbau_large_fine_tuned_sindhi_en.md
new file mode 100644
index 00000000000000..7d056d5b05cdf6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_bertimbau_large_fine_tuned_sindhi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bertimbau_large_fine_tuned_sindhi BertSentenceEmbeddings from AVSilva
+author: John Snow Labs
+name: sent_bertimbau_large_fine_tuned_sindhi
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bertimbau_large_fine_tuned_sindhi` is a English model originally trained by AVSilva.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bertimbau_large_fine_tuned_sindhi_en_5.5.0_3.0_1726913695133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bertimbau_large_fine_tuned_sindhi_en_5.5.0_3.0_1726913695133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bertimbau_large_fine_tuned_sindhi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/AVSilva/bertimbau-large-fine-tuned-sd
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_biomedical_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_biomedical_en.md
new file mode 100644
index 00000000000000..a5e9f79a5b7f9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_biomedical_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_biomedical BertSentenceEmbeddings from ajitrajasekharan
+author: John Snow Labs
+name: sent_biomedical
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_biomedical` is a English model originally trained by ajitrajasekharan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_biomedical_en_5.5.0_3.0_1726931483563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_biomedical_en_5.5.0_3.0_1726931483563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_biomedical|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/ajitrajasekharan/biomedical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_biomedical_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_biomedical_pipeline_en.md
new file mode 100644
index 00000000000000..91023f32c7fbda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_biomedical_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_biomedical_pipeline pipeline BertSentenceEmbeddings from ajitrajasekharan
+author: John Snow Labs
+name: sent_biomedical_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_biomedical_pipeline` is a English model originally trained by ajitrajasekharan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_biomedical_pipeline_en_5.5.0_3.0_1726931540826.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_biomedical_pipeline_en_5.5.0_3.0_1726931540826.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_biomedical_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_biomedical_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_biomedical_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/ajitrajasekharan/biomedical
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_defsent_bert_large_uncased_cls_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_defsent_bert_large_uncased_cls_en.md
new file mode 100644
index 00000000000000..aee330b76ae731
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_defsent_bert_large_uncased_cls_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_defsent_bert_large_uncased_cls BertSentenceEmbeddings from cl-nagoya
+author: John Snow Labs
+name: sent_defsent_bert_large_uncased_cls
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_defsent_bert_large_uncased_cls` is a English model originally trained by cl-nagoya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_defsent_bert_large_uncased_cls_en_5.5.0_3.0_1726941575535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_defsent_bert_large_uncased_cls_en_5.5.0_3.0_1726941575535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_defsent_bert_large_uncased_cls|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/cl-nagoya/defsent-bert-large-uncased-cls
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_defsent_bert_large_uncased_cls_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_defsent_bert_large_uncased_cls_pipeline_en.md
new file mode 100644
index 00000000000000..cae4cd22abf562
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_defsent_bert_large_uncased_cls_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_defsent_bert_large_uncased_cls_pipeline pipeline BertSentenceEmbeddings from cl-nagoya
+author: John Snow Labs
+name: sent_defsent_bert_large_uncased_cls_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_defsent_bert_large_uncased_cls_pipeline` is a English model originally trained by cl-nagoya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_defsent_bert_large_uncased_cls_pipeline_en_5.5.0_3.0_1726941634187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_defsent_bert_large_uncased_cls_pipeline_en_5.5.0_3.0_1726941634187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_defsent_bert_large_uncased_cls_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_defsent_bert_large_uncased_cls_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_defsent_bert_large_uncased_cls_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/cl-nagoya/defsent-bert-large-uncased-cls
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_distilbertu_base_cased_0_0_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_distilbertu_base_cased_0_0_en.md
new file mode 100644
index 00000000000000..e16c54ca605458
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_distilbertu_base_cased_0_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_distilbertu_base_cased_0_0 BertSentenceEmbeddings from amitness
+author: John Snow Labs
+name: sent_distilbertu_base_cased_0_0
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_distilbertu_base_cased_0_0` is a English model originally trained by amitness.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_distilbertu_base_cased_0_0_en_5.5.0_3.0_1726931753590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_distilbertu_base_cased_0_0_en_5.5.0_3.0_1726931753590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hatebertimbau|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|405.5 MB|
+
+## References
+
+https://huggingface.co/knowhate/HateBERTimbau
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_hindi_bert_v1_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-21-sent_hindi_bert_v1_pipeline_hi.md
new file mode 100644
index 00000000000000..8750c34b1e3a77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_hindi_bert_v1_pipeline_hi.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Hindi sent_hindi_bert_v1_pipeline pipeline BertSentenceEmbeddings from l3cube-pune
+author: John Snow Labs
+name: sent_hindi_bert_v1_pipeline
+date: 2024-09-21
+tags: [hi, open_source, pipeline, onnx]
+task: Embeddings
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_hindi_bert_v1_pipeline` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_hindi_bert_v1_pipeline_hi_5.5.0_3.0_1726941654573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_hindi_bert_v1_pipeline_hi_5.5.0_3.0_1726941654573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_hindi_bert_v1_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_hindi_bert_v1_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hindi_bert_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|664.4 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hindi-bert-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_korean_albert_base_v1_ko.md b/docs/_posts/ahmedlone127/2024-09-21-sent_korean_albert_base_v1_ko.md
new file mode 100644
index 00000000000000..e832afa2fcea8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_korean_albert_base_v1_ko.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Korean sent_korean_albert_base_v1 BertSentenceEmbeddings from lots-o
+author: John Snow Labs
+name: sent_korean_albert_base_v1
+date: 2024-09-21
+tags: [ko, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_korean_albert_base_v1` is a Korean model originally trained by lots-o.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_korean_albert_base_v1_ko_5.5.0_3.0_1726941863347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_korean_albert_base_v1_ko_5.5.0_3.0_1726941863347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_korean_albert_base_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|47.7 MB|
+
+## References
+
+https://huggingface.co/lots-o/ko-albert-base-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_korean_albert_base_v1_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-21-sent_korean_albert_base_v1_pipeline_ko.md
new file mode 100644
index 00000000000000..8639f945c12dd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_korean_albert_base_v1_pipeline_ko.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Korean sent_korean_albert_base_v1_pipeline pipeline BertSentenceEmbeddings from lots-o
+author: John Snow Labs
+name: sent_korean_albert_base_v1_pipeline
+date: 2024-09-21
+tags: [ko, open_source, pipeline, onnx]
+task: Embeddings
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_korean_albert_base_v1_pipeline` is a Korean model originally trained by lots-o.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_korean_albert_base_v1_pipeline_ko_5.5.0_3.0_1726941866082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_korean_albert_base_v1_pipeline_ko_5.5.0_3.0_1726941866082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_korean_albert_base_v1_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_korean_albert_base_v1_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_korean_albert_base_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|48.3 MB|
+
+## References
+
+https://huggingface.co/lots-o/ko-albert-base-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_logion_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_logion_base_pipeline_en.md
new file mode 100644
index 00000000000000..c98cdc34db4e01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_logion_base_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_logion_base_pipeline pipeline BertSentenceEmbeddings from cabrooks
+author: John Snow Labs
+name: sent_logion_base_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_logion_base_pipeline` is a English model originally trained by cabrooks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_logion_base_pipeline_en_5.5.0_3.0_1726941325565.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_logion_base_pipeline_en_5.5.0_3.0_1726941325565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_logion_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_logion_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_logion_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|421.4 MB|
+
+## References
+
+https://huggingface.co/cabrooks/LOGION-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_minilmv2_l6_h768_distilled_from_bert_base_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_minilmv2_l6_h768_distilled_from_bert_base_en.md
new file mode 100644
index 00000000000000..52159f972b8da9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_minilmv2_l6_h768_distilled_from_bert_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_minilmv2_l6_h768_distilled_from_bert_base BertSentenceEmbeddings from nreimers
+author: John Snow Labs
+name: sent_minilmv2_l6_h768_distilled_from_bert_base
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_minilmv2_l6_h768_distilled_from_bert_base` is a English model originally trained by nreimers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_minilmv2_l6_h768_distilled_from_bert_base_en_5.5.0_3.0_1726941672164.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_minilmv2_l6_h768_distilled_from_bert_base_en_5.5.0_3.0_1726941672164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_minilmv2_l6_h768_distilled_from_bert_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|158.7 MB|
+
+## References
+
+https://huggingface.co/nreimers/MiniLMv2-L6-H768-distilled-from-BERT-Base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_minilmv2_l6_h768_distilled_from_bert_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_minilmv2_l6_h768_distilled_from_bert_base_pipeline_en.md
new file mode 100644
index 00000000000000..5100e16ef1d36a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_minilmv2_l6_h768_distilled_from_bert_base_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_minilmv2_l6_h768_distilled_from_bert_base_pipeline pipeline BertSentenceEmbeddings from nreimers
+author: John Snow Labs
+name: sent_minilmv2_l6_h768_distilled_from_bert_base_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_minilmv2_l6_h768_distilled_from_bert_base_pipeline` is a English model originally trained by nreimers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_minilmv2_l6_h768_distilled_from_bert_base_pipeline_en_5.5.0_3.0_1726941718978.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_minilmv2_l6_h768_distilled_from_bert_base_pipeline_en_5.5.0_3.0_1726941718978.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_minilmv2_l6_h768_distilled_from_bert_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_minilmv2_l6_h768_distilled_from_bert_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_minilmv2_l6_h768_distilled_from_bert_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|159.3 MB|
+
+## References
+
+https://huggingface.co/nreimers/MiniLMv2-L6-H768-distilled-from-BERT-Base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_opticalbert_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_opticalbert_uncased_en.md
new file mode 100644
index 00000000000000..c3f39f8f8b1df5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_opticalbert_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_opticalbert_uncased BertSentenceEmbeddings from opticalmaterials
+author: John Snow Labs
+name: sent_opticalbert_uncased
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_opticalbert_uncased` is a English model originally trained by opticalmaterials.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_opticalbert_uncased_en_5.5.0_3.0_1726913612953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_opticalbert_uncased_en_5.5.0_3.0_1726913612953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_opticalbert_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/opticalmaterials/opticalbert_uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_opticalbert_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_opticalbert_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..ac9e2a3cd65b77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_opticalbert_uncased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_opticalbert_uncased_pipeline pipeline BertSentenceEmbeddings from opticalmaterials
+author: John Snow Labs
+name: sent_opticalbert_uncased_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_opticalbert_uncased_pipeline` is a English model originally trained by opticalmaterials.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_opticalbert_uncased_pipeline_en_5.5.0_3.0_1726913632176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_opticalbert_uncased_pipeline_en_5.5.0_3.0_1726913632176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_opticalbert_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_opticalbert_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_opticalbert_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.6 MB|
+
+## References
+
+https://huggingface.co/opticalmaterials/opticalbert_uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sent_protaugment_lm_hwu64_en.md b/docs/_posts/ahmedlone127/2024-09-21-sent_protaugment_lm_hwu64_en.md
new file mode 100644
index 00000000000000..0c241125810b96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sent_protaugment_lm_hwu64_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_protaugment_lm_hwu64 BertSentenceEmbeddings from tdopierre
+author: John Snow Labs
+name: sent_protaugment_lm_hwu64
+date: 2024-09-21
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_protaugment_lm_hwu64` is a English model originally trained by tdopierre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_protaugment_lm_hwu64_en_5.5.0_3.0_1726898733210.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_protaugment_lm_hwu64_en_5.5.0_3.0_1726898733210.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_protaugment_lm_hwu64|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.5 MB|
+
+## References
+
+https://huggingface.co/tdopierre/ProtAugment-LM-HWU64
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sentiment_roberta_twitter_imdb_10_en.md b/docs/_posts/ahmedlone127/2024-09-21-sentiment_roberta_twitter_imdb_10_en.md
new file mode 100644
index 00000000000000..e44f9418480705
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sentiment_roberta_twitter_imdb_10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_roberta_twitter_imdb_10 RoBertaForSequenceClassification from pachequinho
+author: John Snow Labs
+name: sentiment_roberta_twitter_imdb_10
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_roberta_twitter_imdb_10` is a English model originally trained by pachequinho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_roberta_twitter_imdb_10_en_5.5.0_3.0_1726900643986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_roberta_twitter_imdb_10_en_5.5.0_3.0_1726900643986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_roberta_twitter_imdb_10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/pachequinho/sentiment_roberta_twitter_imdb_10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sentiment_roberta_twitter_imdb_10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sentiment_roberta_twitter_imdb_10_pipeline_en.md
new file mode 100644
index 00000000000000..22d9ef047ee330
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sentiment_roberta_twitter_imdb_10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_roberta_twitter_imdb_10_pipeline pipeline RoBertaForSequenceClassification from pachequinho
+author: John Snow Labs
+name: sentiment_roberta_twitter_imdb_10_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_roberta_twitter_imdb_10_pipeline` is a English model originally trained by pachequinho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_roberta_twitter_imdb_10_pipeline_en_5.5.0_3.0_1726900665351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_roberta_twitter_imdb_10_pipeline_en_5.5.0_3.0_1726900665351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_roberta_twitter_imdb_10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_roberta_twitter_imdb_10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_roberta_twitter_imdb_10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/pachequinho/sentiment_roberta_twitter_imdb_10
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-snli_6_en.md b/docs/_posts/ahmedlone127/2024-09-21-snli_6_en.md
new file mode 100644
index 00000000000000..8ab7dc0826a37d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-snli_6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English snli_6 RoBertaEmbeddings from mahdiyar
+author: John Snow Labs
+name: snli_6
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`snli_6` is a English model originally trained by mahdiyar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/snli_6_en_5.5.0_3.0_1726934811509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/snli_6_en_5.5.0_3.0_1726934811509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|snli_6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|445.6 MB|
+
+## References
+
+https://huggingface.co/mahdiyar/snli-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-snli_6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-snli_6_pipeline_en.md
new file mode 100644
index 00000000000000..4993e44d366e21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-snli_6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English snli_6_pipeline pipeline RoBertaEmbeddings from mahdiyar
+author: John Snow Labs
+name: snli_6_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`snli_6_pipeline` is a English model originally trained by mahdiyar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/snli_6_pipeline_en_5.5.0_3.0_1726934838130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/snli_6_pipeline_en_5.5.0_3.0_1726934838130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("snli_6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("snli_6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|snli_6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|445.6 MB|
+
+## References
+
+https://huggingface.co/mahdiyar/snli-6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-spam_classifier_qiragg_en.md b/docs/_posts/ahmedlone127/2024-09-21-spam_classifier_qiragg_en.md
new file mode 100644
index 00000000000000..254cdcfdaf50c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-spam_classifier_qiragg_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English spam_classifier_qiragg DistilBertForSequenceClassification from qiragg
+author: John Snow Labs
+name: spam_classifier_qiragg
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spam_classifier_qiragg` is a English model originally trained by qiragg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spam_classifier_qiragg_en_5.5.0_3.0_1726888734132.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spam_classifier_qiragg_en_5.5.0_3.0_1726888734132.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spam_classifier_qiragg|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/qiragg/spam-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-spam_classifier_qiragg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-spam_classifier_qiragg_pipeline_en.md
new file mode 100644
index 00000000000000..1dd48d6c99644d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-spam_classifier_qiragg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English spam_classifier_qiragg_pipeline pipeline DistilBertForSequenceClassification from qiragg
+author: John Snow Labs
+name: spam_classifier_qiragg_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spam_classifier_qiragg_pipeline` is a English model originally trained by qiragg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spam_classifier_qiragg_pipeline_en_5.5.0_3.0_1726888746056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spam_classifier_qiragg_pipeline_en_5.5.0_3.0_1726888746056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("spam_classifier_qiragg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("spam_classifier_qiragg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spam_classifier_qiragg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/qiragg/spam-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-spanish_euph_classifier_final_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-spanish_euph_classifier_final_pipeline_en.md
new file mode 100644
index 00000000000000..4d3e1531c16f4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-spanish_euph_classifier_final_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English spanish_euph_classifier_final_pipeline pipeline DistilBertForSequenceClassification from nhankins
+author: John Snow Labs
+name: spanish_euph_classifier_final_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spanish_euph_classifier_final_pipeline` is a English model originally trained by nhankins.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanish_euph_classifier_final_pipeline_en_5.5.0_3.0_1726953618866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanish_euph_classifier_final_pipeline_en_5.5.0_3.0_1726953618866.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("spanish_euph_classifier_final_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("spanish_euph_classifier_final_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_euph_classifier_final_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/nhankins/es_euph_classifier_final
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-spanishroberta_multicardioner_en.md b/docs/_posts/ahmedlone127/2024-09-21-spanishroberta_multicardioner_en.md
new file mode 100644
index 00000000000000..19945e3aadd6c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-spanishroberta_multicardioner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English spanishroberta_multicardioner RoBertaForTokenClassification from aaaksenova
+author: John Snow Labs
+name: spanishroberta_multicardioner
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spanishroberta_multicardioner` is a English model originally trained by aaaksenova.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanishroberta_multicardioner_en_5.5.0_3.0_1726926467779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanishroberta_multicardioner_en_5.5.0_3.0_1726926467779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanishroberta_multicardioner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|440.6 MB|
+
+## References
+
+https://huggingface.co/aaaksenova/SpanishRoberta_multicardioner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-spanishroberta_multicardioner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-spanishroberta_multicardioner_pipeline_en.md
new file mode 100644
index 00000000000000..816d7c4d3c3e84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-spanishroberta_multicardioner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English spanishroberta_multicardioner_pipeline pipeline RoBertaForTokenClassification from aaaksenova
+author: John Snow Labs
+name: spanishroberta_multicardioner_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spanishroberta_multicardioner_pipeline` is a English model originally trained by aaaksenova.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanishroberta_multicardioner_pipeline_en_5.5.0_3.0_1726926495546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanishroberta_multicardioner_pipeline_en_5.5.0_3.0_1726926495546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("spanishroberta_multicardioner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("spanishroberta_multicardioner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanishroberta_multicardioner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|440.6 MB|
+
+## References
+
+https://huggingface.co/aaaksenova/SpanishRoberta_multicardioner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sst2_padding70model_en.md b/docs/_posts/ahmedlone127/2024-09-21-sst2_padding70model_en.md
new file mode 100644
index 00000000000000..3f0b7961b013e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sst2_padding70model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sst2_padding70model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: sst2_padding70model
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sst2_padding70model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sst2_padding70model_en_5.5.0_3.0_1726888915001.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sst2_padding70model_en_5.5.0_3.0_1726888915001.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sst2_padding70model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/sst2_padding70model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sst2_padding70model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-sst2_padding70model_pipeline_en.md
new file mode 100644
index 00000000000000..02c2ebbba94ee8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sst2_padding70model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sst2_padding70model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: sst2_padding70model_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sst2_padding70model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sst2_padding70model_pipeline_en_5.5.0_3.0_1726888926498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sst2_padding70model_pipeline_en_5.5.0_3.0_1726888926498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sst2_padding70model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sst2_padding70model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sst2_padding70model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/sst2_padding70model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sungbeom_whisper_small_korean_set1_ko.md b/docs/_posts/ahmedlone127/2024-09-21-sungbeom_whisper_small_korean_set1_ko.md
new file mode 100644
index 00000000000000..cc85a26d125415
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sungbeom_whisper_small_korean_set1_ko.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Korean sungbeom_whisper_small_korean_set1 WhisperForCTC from maxseats
+author: John Snow Labs
+name: sungbeom_whisper_small_korean_set1
+date: 2024-09-21
+tags: [ko, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sungbeom_whisper_small_korean_set1` is a Korean model originally trained by maxseats.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sungbeom_whisper_small_korean_set1_ko_5.5.0_3.0_1726913050200.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sungbeom_whisper_small_korean_set1_ko_5.5.0_3.0_1726913050200.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sungbeom_whisper_small_korean_set1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ko|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/maxseats/SungBeom-whisper-small-ko-set1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sungbeom_whisper_small_korean_set1_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-21-sungbeom_whisper_small_korean_set1_pipeline_ko.md
new file mode 100644
index 00000000000000..65e459f78de454
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sungbeom_whisper_small_korean_set1_pipeline_ko.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Korean sungbeom_whisper_small_korean_set1_pipeline pipeline WhisperForCTC from maxseats
+author: John Snow Labs
+name: sungbeom_whisper_small_korean_set1_pipeline
+date: 2024-09-21
+tags: [ko, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sungbeom_whisper_small_korean_set1_pipeline` is a Korean model originally trained by maxseats.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sungbeom_whisper_small_korean_set1_pipeline_ko_5.5.0_3.0_1726913128073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sungbeom_whisper_small_korean_set1_pipeline_ko_5.5.0_3.0_1726913128073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sungbeom_whisper_small_korean_set1_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sungbeom_whisper_small_korean_set1_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sungbeom_whisper_small_korean_set1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/maxseats/SungBeom-whisper-small-ko-set1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sungbeom_whisper_small_korean_set26_ko.md b/docs/_posts/ahmedlone127/2024-09-21-sungbeom_whisper_small_korean_set26_ko.md
new file mode 100644
index 00000000000000..1e364ff7277ea0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sungbeom_whisper_small_korean_set26_ko.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Korean sungbeom_whisper_small_korean_set26 WhisperForCTC from maxseats
+author: John Snow Labs
+name: sungbeom_whisper_small_korean_set26
+date: 2024-09-21
+tags: [ko, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sungbeom_whisper_small_korean_set26` is a Korean model originally trained by maxseats.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sungbeom_whisper_small_korean_set26_ko_5.5.0_3.0_1726962587177.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sungbeom_whisper_small_korean_set26_ko_5.5.0_3.0_1726962587177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sungbeom_whisper_small_korean_set26|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ko|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/maxseats/SungBeom-whisper-small-ko-set26
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-sungbeom_whisper_small_korean_set26_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-21-sungbeom_whisper_small_korean_set26_pipeline_ko.md
new file mode 100644
index 00000000000000..17ff5ae687630b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-sungbeom_whisper_small_korean_set26_pipeline_ko.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Korean sungbeom_whisper_small_korean_set26_pipeline pipeline WhisperForCTC from maxseats
+author: John Snow Labs
+name: sungbeom_whisper_small_korean_set26_pipeline
+date: 2024-09-21
+tags: [ko, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sungbeom_whisper_small_korean_set26_pipeline` is a Korean model originally trained by maxseats.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sungbeom_whisper_small_korean_set26_pipeline_ko_5.5.0_3.0_1726962664667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sungbeom_whisper_small_korean_set26_pipeline_ko_5.5.0_3.0_1726962664667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sungbeom_whisper_small_korean_set26_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sungbeom_whisper_small_korean_set26_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sungbeom_whisper_small_korean_set26_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/maxseats/SungBeom-whisper-small-ko-set26
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-t_3_en.md b/docs/_posts/ahmedlone127/2024-09-21-t_3_en.md
new file mode 100644
index 00000000000000..24ff518f787576
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-t_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English t_3 RoBertaForSequenceClassification from Pablojmed
+author: John Snow Labs
+name: t_3
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t_3` is a English model originally trained by Pablojmed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t_3_en_5.5.0_3.0_1726900545346.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t_3_en_5.5.0_3.0_1726900545346.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.2 MB|
+
+## References
+
+https://huggingface.co/Pablojmed/t_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-t_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-t_3_pipeline_en.md
new file mode 100644
index 00000000000000..16e7c767c2868b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-t_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English t_3_pipeline pipeline RoBertaForSequenceClassification from Pablojmed
+author: John Snow Labs
+name: t_3_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t_3_pipeline` is a English model originally trained by Pablojmed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t_3_pipeline_en_5.5.0_3.0_1726900569278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t_3_pipeline_en_5.5.0_3.0_1726900569278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("t_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("t_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.2 MB|
+
+## References
+
+https://huggingface.co/Pablojmed/t_3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-t_6_en.md b/docs/_posts/ahmedlone127/2024-09-21-t_6_en.md
new file mode 100644
index 00000000000000..4afd9ce181f91e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-t_6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English t_6 RoBertaForSequenceClassification from Pablojmed
+author: John Snow Labs
+name: t_6
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t_6` is a English model originally trained by Pablojmed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t_6_en_5.5.0_3.0_1726940671995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t_6_en_5.5.0_3.0_1726940671995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t_6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.3 MB|
+
+## References
+
+https://huggingface.co/Pablojmed/t_6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-task_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-task_1_pipeline_en.md
new file mode 100644
index 00000000000000..9d790f364afcfd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-task_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English task_1_pipeline pipeline DistilBertForSequenceClassification from lucando27
+author: John Snow Labs
+name: task_1_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`task_1_pipeline` is a English model originally trained by lucando27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/task_1_pipeline_en_5.5.0_3.0_1726924083781.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/task_1_pipeline_en_5.5.0_3.0_1726924083781.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("task_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("task_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|task_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lucando27/Task_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-teamim_tiny_weightdecay_0_05_combined_data_date_17_07_2024_10_10_pipeline_he.md b/docs/_posts/ahmedlone127/2024-09-21-teamim_tiny_weightdecay_0_05_combined_data_date_17_07_2024_10_10_pipeline_he.md
new file mode 100644
index 00000000000000..edeb20fe62c2eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-teamim_tiny_weightdecay_0_05_combined_data_date_17_07_2024_10_10_pipeline_he.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hebrew teamim_tiny_weightdecay_0_05_combined_data_date_17_07_2024_10_10_pipeline pipeline WhisperForCTC from cantillation
+author: John Snow Labs
+name: teamim_tiny_weightdecay_0_05_combined_data_date_17_07_2024_10_10_pipeline
+date: 2024-09-21
+tags: [he, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: he
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`teamim_tiny_weightdecay_0_05_combined_data_date_17_07_2024_10_10_pipeline` is a Hebrew model originally trained by cantillation.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/teamim_tiny_weightdecay_0_05_combined_data_date_17_07_2024_10_10_pipeline_he_5.5.0_3.0_1726878988531.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/teamim_tiny_weightdecay_0_05_combined_data_date_17_07_2024_10_10_pipeline_he_5.5.0_3.0_1726878988531.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("teamim_tiny_weightdecay_0_05_combined_data_date_17_07_2024_10_10_pipeline", lang = "he")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("teamim_tiny_weightdecay_0_05_combined_data_date_17_07_2024_10_10_pipeline", lang = "he")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|teamim_tiny_weightdecay_0_05_combined_data_date_17_07_2024_10_10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|he|
+|Size:|388.7 MB|
+
+## References
+
+https://huggingface.co/cantillation/Teamim-tiny_WeightDecay-0.05_Combined-Data_date-17-07-2024_10-10
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-test_filter0416_en.md b/docs/_posts/ahmedlone127/2024-09-21-test_filter0416_en.md
new file mode 100644
index 00000000000000..824ef9f5d7c463
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-test_filter0416_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_filter0416 DistilBertForSequenceClassification from Filter0416
+author: John Snow Labs
+name: test_filter0416
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_filter0416` is a English model originally trained by Filter0416.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_filter0416_en_5.5.0_3.0_1726924402565.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_filter0416_en_5.5.0_3.0_1726924402565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_filter0416|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Filter0416/test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-test_filter0416_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-test_filter0416_pipeline_en.md
new file mode 100644
index 00000000000000..2b2185e054ece2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-test_filter0416_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_filter0416_pipeline pipeline DistilBertForSequenceClassification from Filter0416
+author: John Snow Labs
+name: test_filter0416_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_filter0416_pipeline` is a English model originally trained by Filter0416.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_filter0416_pipeline_en_5.5.0_3.0_1726924414204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_filter0416_pipeline_en_5.5.0_3.0_1726924414204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_filter0416_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_filter0416_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_filter0416_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Filter0416/test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-test_reward_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-test_reward_model_pipeline_en.md
new file mode 100644
index 00000000000000..d025028ffa09fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-test_reward_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_reward_model_pipeline pipeline RoBertaForSequenceClassification from Adzka
+author: John Snow Labs
+name: test_reward_model_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_reward_model_pipeline` is a English model originally trained by Adzka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_reward_model_pipeline_en_5.5.0_3.0_1726940489062.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_reward_model_pipeline_en_5.5.0_3.0_1726940489062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_reward_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_reward_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_reward_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|467.7 MB|
+
+## References
+
+https://huggingface.co/Adzka/test-reward-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-text_classification_10000_en.md b/docs/_posts/ahmedlone127/2024-09-21-text_classification_10000_en.md
new file mode 100644
index 00000000000000..a9a10c0a1503b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-text_classification_10000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English text_classification_10000 DistilBertForSequenceClassification from Neroism8422
+author: John Snow Labs
+name: text_classification_10000
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_10000` is a English model originally trained by Neroism8422.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_10000_en_5.5.0_3.0_1726884855454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_10000_en_5.5.0_3.0_1726884855454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_10000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Neroism8422/Text_Classification_10000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-text_classification_10000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-text_classification_10000_pipeline_en.md
new file mode 100644
index 00000000000000..60472f7b7a17f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-text_classification_10000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English text_classification_10000_pipeline pipeline DistilBertForSequenceClassification from Neroism8422
+author: John Snow Labs
+name: text_classification_10000_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_10000_pipeline` is a English model originally trained by Neroism8422.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_10000_pipeline_en_5.5.0_3.0_1726884867126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_10000_pipeline_en_5.5.0_3.0_1726884867126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("text_classification_10000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("text_classification_10000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_10000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Neroism8422/Text_Classification_10000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-text_classifier_madanagrawal_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-text_classifier_madanagrawal_pipeline_en.md
new file mode 100644
index 00000000000000..b71838bd2cd744
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-text_classifier_madanagrawal_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English text_classifier_madanagrawal_pipeline pipeline DistilBertForSequenceClassification from madanagrawal
+author: John Snow Labs
+name: text_classifier_madanagrawal_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classifier_madanagrawal_pipeline` is a English model originally trained by madanagrawal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classifier_madanagrawal_pipeline_en_5.5.0_3.0_1726953576701.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classifier_madanagrawal_pipeline_en_5.5.0_3.0_1726953576701.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("text_classifier_madanagrawal_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("text_classifier_madanagrawal_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classifier_madanagrawal_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/madanagrawal/text_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-tibetan_roberta_g_v1_918252_en.md b/docs/_posts/ahmedlone127/2024-09-21-tibetan_roberta_g_v1_918252_en.md
new file mode 100644
index 00000000000000..8bee11c8b89fd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-tibetan_roberta_g_v1_918252_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tibetan_roberta_g_v1_918252 RoBertaEmbeddings from spsither
+author: John Snow Labs
+name: tibetan_roberta_g_v1_918252
+date: 2024-09-21
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tibetan_roberta_g_v1_918252` is a English model originally trained by spsither.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tibetan_roberta_g_v1_918252_en_5.5.0_3.0_1726934603465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tibetan_roberta_g_v1_918252_en_5.5.0_3.0_1726934603465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tibetan_roberta_g_v1_918252|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|412.1 MB|
+
+## References
+
+https://huggingface.co/spsither/tibetan_RoBERTa_G_v1_918252
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-tibetan_roberta_g_v1_918252_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-tibetan_roberta_g_v1_918252_pipeline_en.md
new file mode 100644
index 00000000000000..9ad993169fac8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-tibetan_roberta_g_v1_918252_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tibetan_roberta_g_v1_918252_pipeline pipeline RoBertaEmbeddings from spsither
+author: John Snow Labs
+name: tibetan_roberta_g_v1_918252_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tibetan_roberta_g_v1_918252_pipeline` is a English model originally trained by spsither.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tibetan_roberta_g_v1_918252_pipeline_en_5.5.0_3.0_1726934621923.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tibetan_roberta_g_v1_918252_pipeline_en_5.5.0_3.0_1726934621923.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tibetan_roberta_g_v1_918252_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tibetan_roberta_g_v1_918252_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tibetan_roberta_g_v1_918252_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/spsither/tibetan_RoBERTa_G_v1_918252
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-tiny_english_combined_v4_1_0_32_1e_06_cool_sweep_12_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-tiny_english_combined_v4_1_0_32_1e_06_cool_sweep_12_pipeline_en.md
new file mode 100644
index 00000000000000..c02d33547dcccf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-tiny_english_combined_v4_1_0_32_1e_06_cool_sweep_12_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tiny_english_combined_v4_1_0_32_1e_06_cool_sweep_12_pipeline pipeline WhisperForCTC from saahith
+author: John Snow Labs
+name: tiny_english_combined_v4_1_0_32_1e_06_cool_sweep_12_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_english_combined_v4_1_0_32_1e_06_cool_sweep_12_pipeline` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_english_combined_v4_1_0_32_1e_06_cool_sweep_12_pipeline_en_5.5.0_3.0_1726908317619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_english_combined_v4_1_0_32_1e_06_cool_sweep_12_pipeline_en_5.5.0_3.0_1726908317619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_english_combined_v4_1_0_32_1e_06_cool_sweep_12_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_english_combined_v4_1_0_32_1e_06_cool_sweep_12_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_english_combined_v4_1_0_32_1e_06_cool_sweep_12_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|391.4 MB|
+
+## References
+
+https://huggingface.co/saahith/tiny.en-combined_v4-1-0-32-1e-06-cool-sweep-12
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_en.md b/docs/_posts/ahmedlone127/2024-09-21-tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_en.md
new file mode 100644
index 00000000000000..c8f8593e76fc3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16 WhisperForCTC from saahith
+author: John Snow Labs
+name: tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_en_5.5.0_3.0_1726908553172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_en_5.5.0_3.0_1726908553172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|394.7 MB|
+
+## References
+
+https://huggingface.co/saahith/tiny.en-EMSAssist-2-10-0.2-16-1e-06-ethereal-sweep-16
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_pipeline_en.md
new file mode 100644
index 00000000000000..29bdb6bb712f63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_pipeline pipeline WhisperForCTC from saahith
+author: John Snow Labs
+name: tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_pipeline` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_pipeline_en_5.5.0_3.0_1726908573334.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_pipeline_en_5.5.0_3.0_1726908573334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_english_emsassist_2_10_0_2_16_1e_06_ethereal_sweep_16_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|394.7 MB|
+
+## References
+
+https://huggingface.co/saahith/tiny.en-EMSAssist-2-10-0.2-16-1e-06-ethereal-sweep-16
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-tiny_english_emsassist_2_1_0_16_1e_05_eager_sweep_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-tiny_english_emsassist_2_1_0_16_1e_05_eager_sweep_4_pipeline_en.md
new file mode 100644
index 00000000000000..a25b20d5d4b2f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-tiny_english_emsassist_2_1_0_16_1e_05_eager_sweep_4_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tiny_english_emsassist_2_1_0_16_1e_05_eager_sweep_4_pipeline pipeline WhisperForCTC from saahith
+author: John Snow Labs
+name: tiny_english_emsassist_2_1_0_16_1e_05_eager_sweep_4_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_english_emsassist_2_1_0_16_1e_05_eager_sweep_4_pipeline` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_english_emsassist_2_1_0_16_1e_05_eager_sweep_4_pipeline_en_5.5.0_3.0_1726903313740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_english_emsassist_2_1_0_16_1e_05_eager_sweep_4_pipeline_en_5.5.0_3.0_1726903313740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_english_emsassist_2_1_0_16_1e_05_eager_sweep_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_english_emsassist_2_1_0_16_1e_05_eager_sweep_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_english_emsassist_2_1_0_16_1e_05_eager_sweep_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|394.3 MB|
+
+## References
+
+https://huggingface.co/saahith/tiny.en-EMSAssist-2-1-0-16-1e-05-eager-sweep-4
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-tiny_english_final_combined_1_0_1_8_1e_06_daily_sweep_15_en.md b/docs/_posts/ahmedlone127/2024-09-21-tiny_english_final_combined_1_0_1_8_1e_06_daily_sweep_15_en.md
new file mode 100644
index 00000000000000..11ab6a8a715d80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-tiny_english_final_combined_1_0_1_8_1e_06_daily_sweep_15_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English tiny_english_final_combined_1_0_1_8_1e_06_daily_sweep_15 WhisperForCTC from saahith
+author: John Snow Labs
+name: tiny_english_final_combined_1_0_1_8_1e_06_daily_sweep_15
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_english_final_combined_1_0_1_8_1e_06_daily_sweep_15` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_english_final_combined_1_0_1_8_1e_06_daily_sweep_15_en_5.5.0_3.0_1726960757339.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_english_final_combined_1_0_1_8_1e_06_daily_sweep_15_en_5.5.0_3.0_1726960757339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_random_debertaforquestionanswering|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|339.7 KB|
+
+## References
+
+https://huggingface.co/hf-tiny-model-private/tiny-random-DebertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-tiny_random_debertaforquestionanswering_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-tiny_random_debertaforquestionanswering_pipeline_en.md
new file mode 100644
index 00000000000000..c7dc48b62c98ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-tiny_random_debertaforquestionanswering_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tiny_random_debertaforquestionanswering_pipeline pipeline BertForQuestionAnswering from hf-tiny-model-private
+author: John Snow Labs
+name: tiny_random_debertaforquestionanswering_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_random_debertaforquestionanswering_pipeline` is a English model originally trained by hf-tiny-model-private.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_random_debertaforquestionanswering_pipeline_en_5.5.0_3.0_1726946312295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_random_debertaforquestionanswering_pipeline_en_5.5.0_3.0_1726946312295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_random_debertaforquestionanswering_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_random_debertaforquestionanswering_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_random_debertaforquestionanswering_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|346.3 KB|
+
+## References
+
+https://huggingface.co/hf-tiny-model-private/tiny-random-DebertaForQuestionAnswering
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-tinybert_general_4l_312d_natureuniverse_en.md b/docs/_posts/ahmedlone127/2024-09-21-tinybert_general_4l_312d_natureuniverse_en.md
new file mode 100644
index 00000000000000..2374a540026bf1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-tinybert_general_4l_312d_natureuniverse_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English tinybert_general_4l_312d_natureuniverse BertForQuestionAnswering from NatureUniverse
+author: John Snow Labs
+name: tinybert_general_4l_312d_natureuniverse
+date: 2024-09-21
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tinybert_general_4l_312d_natureuniverse` is a English model originally trained by NatureUniverse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinybert_general_4l_312d_natureuniverse_en_5.5.0_3.0_1726928611962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinybert_general_4l_312d_natureuniverse_en_5.5.0_3.0_1726928611962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tinybert_general_4l_312d_natureuniverse|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|53.8 MB|
+
+## References
+
+https://huggingface.co/NatureUniverse/TinyBERT_general_4L_312d
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-tinybert_general_4l_312d_natureuniverse_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-tinybert_general_4l_312d_natureuniverse_pipeline_en.md
new file mode 100644
index 00000000000000..1a9ba4f48acf0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-tinybert_general_4l_312d_natureuniverse_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tinybert_general_4l_312d_natureuniverse_pipeline pipeline BertForQuestionAnswering from NatureUniverse
+author: John Snow Labs
+name: tinybert_general_4l_312d_natureuniverse_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tinybert_general_4l_312d_natureuniverse_pipeline` is a English model originally trained by NatureUniverse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinybert_general_4l_312d_natureuniverse_pipeline_en_5.5.0_3.0_1726928614777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinybert_general_4l_312d_natureuniverse_pipeline_en_5.5.0_3.0_1726928614777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tinybert_general_4l_312d_natureuniverse_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tinybert_general_4l_312d_natureuniverse_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tinybert_general_4l_312d_natureuniverse_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|53.9 MB|
+
+## References
+
+https://huggingface.co/NatureUniverse/TinyBERT_general_4L_312d
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-topic_topic_random0_seed1_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-21-topic_topic_random0_seed1_bernice_en.md
new file mode 100644
index 00000000000000..5082416658a95b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-topic_topic_random0_seed1_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English topic_topic_random0_seed1_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random0_seed1_bernice
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random0_seed1_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random0_seed1_bernice_en_5.5.0_3.0_1726932285428.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random0_seed1_bernice_en_5.5.0_3.0_1726932285428.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random0_seed1_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|805.7 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random0_seed1-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-topic_topic_random0_seed1_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-topic_topic_random0_seed1_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..19b8094237e983
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-topic_topic_random0_seed1_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English topic_topic_random0_seed1_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random0_seed1_bernice_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random0_seed1_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random0_seed1_bernice_pipeline_en_5.5.0_3.0_1726932418538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random0_seed1_bernice_pipeline_en_5.5.0_3.0_1726932418538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("topic_topic_random0_seed1_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("topic_topic_random0_seed1_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random0_seed1_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|805.7 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random0_seed1-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-toulmin_classifier8_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-21-toulmin_classifier8_distilbert_base_uncased_en.md
new file mode 100644
index 00000000000000..b731934b386b77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-toulmin_classifier8_distilbert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English toulmin_classifier8_distilbert_base_uncased DistilBertForSequenceClassification from againeureka
+author: John Snow Labs
+name: toulmin_classifier8_distilbert_base_uncased
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toulmin_classifier8_distilbert_base_uncased` is a English model originally trained by againeureka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toulmin_classifier8_distilbert_base_uncased_en_5.5.0_3.0_1726889042315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toulmin_classifier8_distilbert_base_uncased_en_5.5.0_3.0_1726889042315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toulmin_classifier8_distilbert_base_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|394.6 MB|
+
+## References
+
+https://huggingface.co/againeureka/toulmin_classifier8_distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-toulmin_classifier8_distilbert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-toulmin_classifier8_distilbert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..443e04fb245b57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-toulmin_classifier8_distilbert_base_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English toulmin_classifier8_distilbert_base_uncased_pipeline pipeline DistilBertForSequenceClassification from againeureka
+author: John Snow Labs
+name: toulmin_classifier8_distilbert_base_uncased_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toulmin_classifier8_distilbert_base_uncased_pipeline` is a English model originally trained by againeureka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toulmin_classifier8_distilbert_base_uncased_pipeline_en_5.5.0_3.0_1726889062813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toulmin_classifier8_distilbert_base_uncased_pipeline_en_5.5.0_3.0_1726889062813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("toulmin_classifier8_distilbert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("toulmin_classifier8_distilbert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toulmin_classifier8_distilbert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|394.6 MB|
+
+## References
+
+https://huggingface.co/againeureka/toulmin_classifier8_distilbert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-toxic_comment_model_toxicity_ft_en.md b/docs/_posts/ahmedlone127/2024-09-21-toxic_comment_model_toxicity_ft_en.md
new file mode 100644
index 00000000000000..49267e31fa3372
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-toxic_comment_model_toxicity_ft_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English toxic_comment_model_toxicity_ft DistilBertForSequenceClassification from fatmhd1995
+author: John Snow Labs
+name: toxic_comment_model_toxicity_ft
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxic_comment_model_toxicity_ft` is a English model originally trained by fatmhd1995.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_comment_model_toxicity_ft_en_5.5.0_3.0_1726953456329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_comment_model_toxicity_ft_en_5.5.0_3.0_1726953456329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxic_comment_model_toxicity_ft|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fatmhd1995/toxic-comment-model-TOXICITY-FT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-toxicity_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-21-toxicity_classifier_en.md
new file mode 100644
index 00000000000000..b8e5ae78ac4953
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-toxicity_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English toxicity_classifier DistilBertForSequenceClassification from richterleo
+author: John Snow Labs
+name: toxicity_classifier
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxicity_classifier` is a English model originally trained by richterleo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxicity_classifier_en_5.5.0_3.0_1726888596796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxicity_classifier_en_5.5.0_3.0_1726888596796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxicity_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/richterleo/toxicity_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-trainere_en.md b/docs/_posts/ahmedlone127/2024-09-21-trainere_en.md
new file mode 100644
index 00000000000000..15892b2dfad7af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-trainere_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trainere DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: trainere
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainere` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainere_en_5.5.0_3.0_1726888980736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainere_en_5.5.0_3.0_1726888980736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainere|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/SimoneJLaudani/trainerE
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-trainere_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-trainere_pipeline_en.md
new file mode 100644
index 00000000000000..c1614727f411a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-trainere_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English trainere_pipeline pipeline DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: trainere_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainere_pipeline` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainere_pipeline_en_5.5.0_3.0_1726888993006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainere_pipeline_en_5.5.0_3.0_1726888993006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trainere_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trainere_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainere_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/SimoneJLaudani/trainerE
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-tunlangmodel_test1_10_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-21-tunlangmodel_test1_10_pipeline_ar.md
new file mode 100644
index 00000000000000..7182c1766d1530
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-tunlangmodel_test1_10_pipeline_ar.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Arabic tunlangmodel_test1_10_pipeline pipeline WhisperForCTC from Arbi-Houssem
+author: John Snow Labs
+name: tunlangmodel_test1_10_pipeline
+date: 2024-09-21
+tags: [ar, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tunlangmodel_test1_10_pipeline` is a Arabic model originally trained by Arbi-Houssem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tunlangmodel_test1_10_pipeline_ar_5.5.0_3.0_1726950365600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tunlangmodel_test1_10_pipeline_ar_5.5.0_3.0_1726950365600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tunlangmodel_test1_10_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tunlangmodel_test1_10_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tunlangmodel_test1_10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Arbi-Houssem/TunLangModel_test1.10
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-turkish_lyric_tonga_tonga_islands_genre_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-21-turkish_lyric_tonga_tonga_islands_genre_pipeline_tr.md
new file mode 100644
index 00000000000000..5fa9bc2feddb1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-turkish_lyric_tonga_tonga_islands_genre_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish turkish_lyric_tonga_tonga_islands_genre_pipeline pipeline BertForSequenceClassification from Veucci
+author: John Snow Labs
+name: turkish_lyric_tonga_tonga_islands_genre_pipeline
+date: 2024-09-21
+tags: [tr, open_source, pipeline, onnx]
+task: Text Classification
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`turkish_lyric_tonga_tonga_islands_genre_pipeline` is a Turkish model originally trained by Veucci.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/turkish_lyric_tonga_tonga_islands_genre_pipeline_tr_5.5.0_3.0_1726902765867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/turkish_lyric_tonga_tonga_islands_genre_pipeline_tr_5.5.0_3.0_1726902765867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("turkish_lyric_tonga_tonga_islands_genre_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("turkish_lyric_tonga_tonga_islands_genre_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|turkish_lyric_tonga_tonga_islands_genre_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Veucci/turkish-lyric-to-genre
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-twitter_roberta_base_dec2020_tweet_topic_single_all_en.md b/docs/_posts/ahmedlone127/2024-09-21-twitter_roberta_base_dec2020_tweet_topic_single_all_en.md
new file mode 100644
index 00000000000000..89335a9bb3c196
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-twitter_roberta_base_dec2020_tweet_topic_single_all_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_base_dec2020_tweet_topic_single_all RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_dec2020_tweet_topic_single_all
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_dec2020_tweet_topic_single_all` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2020_tweet_topic_single_all_en_5.5.0_3.0_1726900487324.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2020_tweet_topic_single_all_en_5.5.0_3.0_1726900487324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_dec2020_tweet_topic_single_all|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2020-tweet-topic-single-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-twitter_roberta_base_dec2020_tweet_topic_single_all_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-twitter_roberta_base_dec2020_tweet_topic_single_all_pipeline_en.md
new file mode 100644
index 00000000000000..047fbc6fedd08d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-twitter_roberta_base_dec2020_tweet_topic_single_all_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_roberta_base_dec2020_tweet_topic_single_all_pipeline pipeline RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_dec2020_tweet_topic_single_all_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_dec2020_tweet_topic_single_all_pipeline` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2020_tweet_topic_single_all_pipeline_en_5.5.0_3.0_1726900508641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2020_tweet_topic_single_all_pipeline_en_5.5.0_3.0_1726900508641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_roberta_base_dec2020_tweet_topic_single_all_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_roberta_base_dec2020_tweet_topic_single_all_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_dec2020_tweet_topic_single_all_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2020-tweet-topic-single-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-twitter_roberta_base_ner7_latest_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-21-twitter_roberta_base_ner7_latest_finetuned_en.md
new file mode 100644
index 00000000000000..dcff94056ec99e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-twitter_roberta_base_ner7_latest_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_base_ner7_latest_finetuned RoBertaForTokenClassification from alban12
+author: John Snow Labs
+name: twitter_roberta_base_ner7_latest_finetuned
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_ner7_latest_finetuned` is a English model originally trained by alban12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_ner7_latest_finetuned_en_5.5.0_3.0_1726887426399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_ner7_latest_finetuned_en_5.5.0_3.0_1726887426399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_ner7_latest_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|454.6 MB|
+
+## References
+
+https://huggingface.co/alban12/twitter-roberta-base-ner7-latest-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-twitter_roberta_base_ner7_latest_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-twitter_roberta_base_ner7_latest_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..fead4aa70c77d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-twitter_roberta_base_ner7_latest_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_roberta_base_ner7_latest_finetuned_pipeline pipeline RoBertaForTokenClassification from alban12
+author: John Snow Labs
+name: twitter_roberta_base_ner7_latest_finetuned_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_ner7_latest_finetuned_pipeline` is a English model originally trained by alban12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_ner7_latest_finetuned_pipeline_en_5.5.0_3.0_1726887452783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_ner7_latest_finetuned_pipeline_en_5.5.0_3.0_1726887452783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_roberta_base_ner7_latest_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_roberta_base_ner7_latest_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_ner7_latest_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|454.6 MB|
+
+## References
+
+https://huggingface.co/alban12/twitter-roberta-base-ner7-latest-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-twitterfin_padding100model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-twitterfin_padding100model_pipeline_en.md
new file mode 100644
index 00000000000000..b7b7bbadf21d00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-twitterfin_padding100model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitterfin_padding100model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: twitterfin_padding100model_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitterfin_padding100model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitterfin_padding100model_pipeline_en_5.5.0_3.0_1726888882316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitterfin_padding100model_pipeline_en_5.5.0_3.0_1726888882316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitterfin_padding100model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitterfin_padding100model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitterfin_padding100model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/twitterfin_padding100model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-unbias_roberta_ner_en.md b/docs/_posts/ahmedlone127/2024-09-21-unbias_roberta_ner_en.md
new file mode 100644
index 00000000000000..ed756824aa5452
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-unbias_roberta_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English unbias_roberta_ner RoBertaForTokenClassification from newsmediabias
+author: John Snow Labs
+name: unbias_roberta_ner
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unbias_roberta_ner` is a English model originally trained by newsmediabias.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unbias_roberta_ner_en_5.5.0_3.0_1726927084819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unbias_roberta_ner_en_5.5.0_3.0_1726927084819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unbias_roberta_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/newsmediabias/UnBIAS-RoBERTa-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-unbias_roberta_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-unbias_roberta_ner_pipeline_en.md
new file mode 100644
index 00000000000000..3af788b2dd7667
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-unbias_roberta_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English unbias_roberta_ner_pipeline pipeline RoBertaForTokenClassification from newsmediabias
+author: John Snow Labs
+name: unbias_roberta_ner_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unbias_roberta_ner_pipeline` is a English model originally trained by newsmediabias.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unbias_roberta_ner_pipeline_en_5.5.0_3.0_1726927153254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unbias_roberta_ner_pipeline_en_5.5.0_3.0_1726927153254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("unbias_roberta_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("unbias_roberta_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unbias_roberta_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/newsmediabias/UnBIAS-RoBERTa-NER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-unibert_roberta_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-unibert_roberta_2_pipeline_en.md
new file mode 100644
index 00000000000000..52bf89b02ebdd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-unibert_roberta_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English unibert_roberta_2_pipeline pipeline RoBertaForTokenClassification from dbala02
+author: John Snow Labs
+name: unibert_roberta_2_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unibert_roberta_2_pipeline` is a English model originally trained by dbala02.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unibert_roberta_2_pipeline_en_5.5.0_3.0_1726926926026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unibert_roberta_2_pipeline_en_5.5.0_3.0_1726926926026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("unibert_roberta_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("unibert_roberta_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unibert_roberta_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|422.8 MB|
+
+## References
+
+https://huggingface.co/dbala02/uniBERT.RoBERTa.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_12_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_12_en.md
new file mode 100644
index 00000000000000..cf55b1768cff48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_12_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_12 WhisperForCTC from namkyeong
+author: John Snow Labs
+name: whisper_12
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_12` is a English model originally trained by namkyeong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_12_en_5.5.0_3.0_1726961916608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_12_en_5.5.0_3.0_1726961916608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_12|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/namkyeong/whisper_12
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_12_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_12_pipeline_en.md
new file mode 100644
index 00000000000000..d0801ef107bd43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_12_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_12_pipeline pipeline WhisperForCTC from namkyeong
+author: John Snow Labs
+name: whisper_12_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_12_pipeline` is a English model originally trained by namkyeong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_12_pipeline_en_5.5.0_3.0_1726961998483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_12_pipeline_en_5.5.0_3.0_1726961998483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_12_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_12_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_12_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/namkyeong/whisper_12
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_3_namkyeong_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_3_namkyeong_en.md
new file mode 100644
index 00000000000000..65198a3fb73612
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_3_namkyeong_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_3_namkyeong WhisperForCTC from namkyeong
+author: John Snow Labs
+name: whisper_3_namkyeong
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_3_namkyeong` is a English model originally trained by namkyeong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_3_namkyeong_en_5.5.0_3.0_1726935611765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_3_namkyeong_en_5.5.0_3.0_1726935611765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_3_namkyeong|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|642.3 MB|
+
+## References
+
+https://huggingface.co/namkyeong/whisper_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_3_namkyeong_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_3_namkyeong_pipeline_en.md
new file mode 100644
index 00000000000000..76e5693c44d280
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_3_namkyeong_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_3_namkyeong_pipeline pipeline WhisperForCTC from namkyeong
+author: John Snow Labs
+name: whisper_3_namkyeong_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_3_namkyeong_pipeline` is a English model originally trained by namkyeong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_3_namkyeong_pipeline_en_5.5.0_3.0_1726935642399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_3_namkyeong_pipeline_en_5.5.0_3.0_1726935642399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_3_namkyeong_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_3_namkyeong_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_3_namkyeong_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|642.4 MB|
+
+## References
+
+https://huggingface.co/namkyeong/whisper_3
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_4_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_4_en.md
new file mode 100644
index 00000000000000..2c9d9be5fe9817
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_4_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_4 WhisperForCTC from namkyeong
+author: John Snow Labs
+name: whisper_4
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_4` is a English model originally trained by namkyeong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_4_en_5.5.0_3.0_1726908311102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_4_en_5.5.0_3.0_1726908311102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|642.6 MB|
+
+## References
+
+https://huggingface.co/namkyeong/whisper_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_4_pipeline_en.md
new file mode 100644
index 00000000000000..def1bd19b1e593
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_4_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_4_pipeline pipeline WhisperForCTC from namkyeong
+author: John Snow Labs
+name: whisper_4_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_4_pipeline` is a English model originally trained by namkyeong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_4_pipeline_en_5.5.0_3.0_1726908341717.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_4_pipeline_en_5.5.0_3.0_1726908341717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|642.6 MB|
+
+## References
+
+https://huggingface.co/namkyeong/whisper_4
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_6e_4_clean_legion_fleurs_v2_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_6e_4_clean_legion_fleurs_v2_en.md
new file mode 100644
index 00000000000000..900982c869c0ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_6e_4_clean_legion_fleurs_v2_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_6e_4_clean_legion_fleurs_v2 WhisperForCTC from yusufagung29
+author: John Snow Labs
+name: whisper_6e_4_clean_legion_fleurs_v2
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_6e_4_clean_legion_fleurs_v2` is a English model originally trained by yusufagung29.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_6e_4_clean_legion_fleurs_v2_en_5.5.0_3.0_1726906003719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_6e_4_clean_legion_fleurs_v2_en_5.5.0_3.0_1726906003719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_6e_4_clean_legion_fleurs_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|387.3 MB|
+
+## References
+
+https://huggingface.co/yusufagung29/whisper_6e-4_clean_legion_fleurs_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_6e_4_clean_legion_fleurs_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_6e_4_clean_legion_fleurs_v2_pipeline_en.md
new file mode 100644
index 00000000000000..e76c89a5fd950e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_6e_4_clean_legion_fleurs_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_6e_4_clean_legion_fleurs_v2_pipeline pipeline WhisperForCTC from yusufagung29
+author: John Snow Labs
+name: whisper_6e_4_clean_legion_fleurs_v2_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_6e_4_clean_legion_fleurs_v2_pipeline` is a English model originally trained by yusufagung29.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_6e_4_clean_legion_fleurs_v2_pipeline_en_5.5.0_3.0_1726906024535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_6e_4_clean_legion_fleurs_v2_pipeline_en_5.5.0_3.0_1726906024535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_6e_4_clean_legion_fleurs_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_6e_4_clean_legion_fleurs_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_6e_4_clean_legion_fleurs_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|387.3 MB|
+
+## References
+
+https://huggingface.co/yusufagung29/whisper_6e-4_clean_legion_fleurs_v2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_base_catalan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_catalan_pipeline_en.md
new file mode 100644
index 00000000000000..c6c42f1060ca0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_catalan_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_catalan_pipeline pipeline WhisperForCTC from softcatala
+author: John Snow Labs
+name: whisper_base_catalan_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_catalan_pipeline` is a English model originally trained by softcatala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_catalan_pipeline_en_5.5.0_3.0_1726878214512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_catalan_pipeline_en_5.5.0_3.0_1726878214512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_catalan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_catalan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_catalan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|641.5 MB|
+
+## References
+
+https://huggingface.co/softcatala/whisper-base-ca
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_base_chinese_cn_cv9_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_chinese_cn_cv9_pipeline_en.md
new file mode 100644
index 00000000000000..28b13e46e8d7d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_chinese_cn_cv9_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_chinese_cn_cv9_pipeline pipeline WhisperForCTC from Hydrodynamical
+author: John Snow Labs
+name: whisper_base_chinese_cn_cv9_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_chinese_cn_cv9_pipeline` is a English model originally trained by Hydrodynamical.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_chinese_cn_cv9_pipeline_en_5.5.0_3.0_1726891280738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_chinese_cn_cv9_pipeline_en_5.5.0_3.0_1726891280738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_chinese_cn_cv9_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_chinese_cn_cv9_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_chinese_cn_cv9_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|643.6 MB|
+
+## References
+
+https://huggingface.co/Hydrodynamical/whisper-base-zh-CN-cv9
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_base_common_voice_16_portuguese_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_common_voice_16_portuguese_en.md
new file mode 100644
index 00000000000000..55fc0129651d09
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_common_voice_16_portuguese_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_base_common_voice_16_portuguese WhisperForCTC from thiagobarbosa
+author: John Snow Labs
+name: whisper_base_common_voice_16_portuguese
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_common_voice_16_portuguese` is a English model originally trained by thiagobarbosa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_common_voice_16_portuguese_en_5.5.0_3.0_1726911263889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_common_voice_16_portuguese_en_5.5.0_3.0_1726911263889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_common_voice_16_portuguese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|641.9 MB|
+
+## References
+
+https://huggingface.co/thiagobarbosa/whisper-base-common-voice-16-pt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_base_full_data_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_full_data_v2_pipeline_en.md
new file mode 100644
index 00000000000000..ef9d702a33cce4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_full_data_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_full_data_v2_pipeline pipeline WhisperForCTC from pphuc25
+author: John Snow Labs
+name: whisper_base_full_data_v2_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_full_data_v2_pipeline` is a English model originally trained by pphuc25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_full_data_v2_pipeline_en_5.5.0_3.0_1726960129474.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_full_data_v2_pipeline_en_5.5.0_3.0_1726960129474.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_full_data_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_full_data_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_full_data_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|642.1 MB|
+
+## References
+
+https://huggingface.co/pphuc25/whisper-base-full-data-v2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_base_german_cv15_v1_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_german_cv15_v1_pipeline_de.md
new file mode 100644
index 00000000000000..8ca58221660be9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_german_cv15_v1_pipeline_de.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: German whisper_base_german_cv15_v1_pipeline pipeline WhisperForCTC from flozi00
+author: John Snow Labs
+name: whisper_base_german_cv15_v1_pipeline
+date: 2024-09-21
+tags: [de, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_german_cv15_v1_pipeline` is a German model originally trained by flozi00.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_german_cv15_v1_pipeline_de_5.5.0_3.0_1726907468424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_german_cv15_v1_pipeline_de_5.5.0_3.0_1726907468424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_german_cv15_v1_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_german_cv15_v1_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_german_cv15_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|398.4 MB|
+
+## References
+
+https://huggingface.co/flozi00/whisper-base-german-cv15-v1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_base_hungarian_cleaned_hu.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_hungarian_cleaned_hu.md
new file mode 100644
index 00000000000000..dd8c572869f039
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_hungarian_cleaned_hu.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hungarian whisper_base_hungarian_cleaned WhisperForCTC from Hungarians
+author: John Snow Labs
+name: whisper_base_hungarian_cleaned
+date: 2024-09-21
+tags: [hu, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hu
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_hungarian_cleaned` is a Hungarian model originally trained by Hungarians.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_hungarian_cleaned_hu_5.5.0_3.0_1726893011171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_hungarian_cleaned_hu_5.5.0_3.0_1726893011171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_superb_3_epochs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|643.8 MB|
+
+## References
+
+https://huggingface.co/deepnet/whisper-base-Superb-3-Epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_base_superb_3_epochs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_superb_3_epochs_pipeline_en.md
new file mode 100644
index 00000000000000..c615019e5e7bc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_superb_3_epochs_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_superb_3_epochs_pipeline pipeline WhisperForCTC from deepnet
+author: John Snow Labs
+name: whisper_base_superb_3_epochs_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_superb_3_epochs_pipeline` is a English model originally trained by deepnet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_superb_3_epochs_pipeline_en_5.5.0_3.0_1726910057441.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_superb_3_epochs_pipeline_en_5.5.0_3.0_1726910057441.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_superb_3_epochs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_superb_3_epochs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_superb_3_epochs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|643.8 MB|
+
+## References
+
+https://huggingface.co/deepnet/whisper-base-Superb-3-Epochs
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_base_tagalog_1_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_tagalog_1_en.md
new file mode 100644
index 00000000000000..2160aa58e14239
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_tagalog_1_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_base_tagalog_1 WhisperForCTC from arun100
+author: John Snow Labs
+name: whisper_base_tagalog_1
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_tagalog_1` is a English model originally trained by arun100.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_tagalog_1_en_5.5.0_3.0_1726909327492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_tagalog_1_en_5.5.0_3.0_1726909327492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_tagalog_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|642.4 MB|
+
+## References
+
+https://huggingface.co/arun100/whisper-base-tl-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_base_tagalog_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_tagalog_1_pipeline_en.md
new file mode 100644
index 00000000000000..4145bae0070b49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_tagalog_1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_tagalog_1_pipeline pipeline WhisperForCTC from arun100
+author: John Snow Labs
+name: whisper_base_tagalog_1_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_tagalog_1_pipeline` is a English model originally trained by arun100.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_tagalog_1_pipeline_en_5.5.0_3.0_1726909360036.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_tagalog_1_pipeline_en_5.5.0_3.0_1726909360036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_tagalog_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_tagalog_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_tagalog_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|642.4 MB|
+
+## References
+
+https://huggingface.co/arun100/whisper-base-tl-1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_calls_small_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_calls_small_en.md
new file mode 100644
index 00000000000000..47361bc43851bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_calls_small_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_calls_small WhisperForCTC from SteffenSeiffarth
+author: John Snow Labs
+name: whisper_calls_small
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_calls_small` is a English model originally trained by SteffenSeiffarth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_calls_small_en_5.5.0_3.0_1726908549156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_calls_small_en_5.5.0_3.0_1726908549156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_calls_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/SteffenSeiffarth/whisper-calls-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_calls_small_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_calls_small_pipeline_en.md
new file mode 100644
index 00000000000000..858dcefbb7236c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_calls_small_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_calls_small_pipeline pipeline WhisperForCTC from SteffenSeiffarth
+author: John Snow Labs
+name: whisper_calls_small_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_calls_small_pipeline` is a English model originally trained by SteffenSeiffarth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_calls_small_pipeline_en_5.5.0_3.0_1726908632304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_calls_small_pipeline_en_5.5.0_3.0_1726908632304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_calls_small_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_calls_small_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_calls_small_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/SteffenSeiffarth/whisper-calls-small
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_clean_3_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_clean_3_en.md
new file mode 100644
index 00000000000000..7108b970b0fe60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_clean_3_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_clean_3 WhisperForCTC from lyhourt
+author: John Snow Labs
+name: whisper_clean_3
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_clean_3` is a English model originally trained by lyhourt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_clean_3_en_5.5.0_3.0_1726960961311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_clean_3_en_5.5.0_3.0_1726960961311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_clean_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/lyhourt/whisper-clean_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_clean_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_clean_3_pipeline_en.md
new file mode 100644
index 00000000000000..d9315a0ba220d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_clean_3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_clean_3_pipeline pipeline WhisperForCTC from lyhourt
+author: John Snow Labs
+name: whisper_clean_3_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_clean_3_pipeline` is a English model originally trained by lyhourt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_clean_3_pipeline_en_5.5.0_3.0_1726961043791.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_clean_3_pipeline_en_5.5.0_3.0_1726961043791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_clean_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_clean_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_clean_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/lyhourt/whisper-clean_3
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_common_voice_small_english_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_common_voice_small_english_en.md
new file mode 100644
index 00000000000000..f4fd81fbb5955d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_common_voice_small_english_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_common_voice_small_english WhisperForCTC from pnandhini
+author: John Snow Labs
+name: whisper_common_voice_small_english
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_common_voice_small_english` is a English model originally trained by pnandhini.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_common_voice_small_english_en_5.5.0_3.0_1726950968572.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_common_voice_small_english_en_5.5.0_3.0_1726950968572.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_common_voice_small_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/pnandhini/whisper_common_voice_small_en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_common_voice_small_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_common_voice_small_english_pipeline_en.md
new file mode 100644
index 00000000000000..518ebb0f46b6c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_common_voice_small_english_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_common_voice_small_english_pipeline pipeline WhisperForCTC from pnandhini
+author: John Snow Labs
+name: whisper_common_voice_small_english_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_common_voice_small_english_pipeline` is a English model originally trained by pnandhini.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_common_voice_small_english_pipeline_en_5.5.0_3.0_1726951052089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_common_voice_small_english_pipeline_en_5.5.0_3.0_1726951052089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_common_voice_small_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_common_voice_small_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_common_voice_small_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/pnandhini/whisper_common_voice_small_en
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_dpv_finetuned_with_augmentation_lower_lr_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_dpv_finetuned_with_augmentation_lower_lr_en.md
new file mode 100644
index 00000000000000..7814cadbca115a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_dpv_finetuned_with_augmentation_lower_lr_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_dpv_finetuned_with_augmentation_lower_lr WhisperForCTC from aherzberg
+author: John Snow Labs
+name: whisper_dpv_finetuned_with_augmentation_lower_lr
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_dpv_finetuned_with_augmentation_lower_lr` is a English model originally trained by aherzberg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_dpv_finetuned_with_augmentation_lower_lr_en_5.5.0_3.0_1726910687315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_dpv_finetuned_with_augmentation_lower_lr_en_5.5.0_3.0_1726910687315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|643.7 MB|
+
+## References
+
+https://huggingface.co/dg96/whisper-finetuning-phoneme-transcription-g2p-large-dataset-space-seperated-phonemes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_pipeline_en.md
new file mode 100644
index 00000000000000..c405c1a581ec6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_pipeline pipeline WhisperForCTC from dg96
+author: John Snow Labs
+name: whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_pipeline` is a English model originally trained by dg96.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_pipeline_en_5.5.0_3.0_1726938713782.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_pipeline_en_5.5.0_3.0_1726938713782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_finetuning_phoneme_transcription_g2p_large_dataset_space_seperated_phonemes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|643.7 MB|
+
+## References
+
+https://huggingface.co/dg96/whisper-finetuning-phoneme-transcription-g2p-large-dataset-space-seperated-phonemes
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_hungarian_small_augmented_hu.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_hungarian_small_augmented_hu.md
new file mode 100644
index 00000000000000..92f86dc49f4630
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_hungarian_small_augmented_hu.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hungarian whisper_hungarian_small_augmented WhisperForCTC from ALM
+author: John Snow Labs
+name: whisper_hungarian_small_augmented
+date: 2024-09-21
+tags: [hu, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hu
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_hungarian_small_augmented` is a Hungarian model originally trained by ALM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_hungarian_small_augmented_hu_5.5.0_3.0_1726891217968.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_hungarian_small_augmented_hu_5.5.0_3.0_1726891217968.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_medium_hindi_shripadbhat|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hi|
+|Size:|4.8 GB|
+
+## References
+
+https://huggingface.co/shripadbhat/whisper-medium-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_medium_hindi_shripadbhat_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_medium_hindi_shripadbhat_pipeline_hi.md
new file mode 100644
index 00000000000000..4c4c557a160be7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_medium_hindi_shripadbhat_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_medium_hindi_shripadbhat_pipeline pipeline WhisperForCTC from shripadbhat
+author: John Snow Labs
+name: whisper_medium_hindi_shripadbhat_pipeline
+date: 2024-09-21
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_medium_hindi_shripadbhat_pipeline` is a Hindi model originally trained by shripadbhat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_medium_hindi_shripadbhat_pipeline_hi_5.5.0_3.0_1726908022139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_medium_hindi_shripadbhat_pipeline_hi_5.5.0_3.0_1726908022139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_medium_hindi_shripadbhat_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_medium_hindi_shripadbhat_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_medium_hindi_shripadbhat_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|4.8 GB|
+
+## References
+
+https://huggingface.co/shripadbhat/whisper-medium-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_afrikaans_za_abhinay45_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_afrikaans_za_abhinay45_pipeline_en.md
new file mode 100644
index 00000000000000..94bb13e314310a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_afrikaans_za_abhinay45_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_afrikaans_za_abhinay45_pipeline pipeline WhisperForCTC from Abhinay45
+author: John Snow Labs
+name: whisper_small_afrikaans_za_abhinay45_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_afrikaans_za_abhinay45_pipeline` is a English model originally trained by Abhinay45.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_afrikaans_za_abhinay45_pipeline_en_5.5.0_3.0_1726949358786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_afrikaans_za_abhinay45_pipeline_en_5.5.0_3.0_1726949358786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_afrikaans_za_abhinay45_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_afrikaans_za_abhinay45_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_afrikaans_za_abhinay45_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Abhinay45/whisper-small-af-ZA
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_arabic_huzaifatahir_ar.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_arabic_huzaifatahir_ar.md
new file mode 100644
index 00000000000000..c5d6df6b3a748c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_arabic_huzaifatahir_ar.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Arabic whisper_small_arabic_huzaifatahir WhisperForCTC from Huzaifatahir
+author: John Snow Labs
+name: whisper_small_arabic_huzaifatahir
+date: 2024-09-21
+tags: [ar, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_arabic_huzaifatahir` is a Arabic model originally trained by Huzaifatahir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_huzaifatahir_ar_5.5.0_3.0_1726893614773.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_huzaifatahir_ar_5.5.0_3.0_1726893614773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_atco2_asr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/jlvdoorn/whisper-small-atco2-asr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_atco2_asr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_atco2_asr_pipeline_en.md
new file mode 100644
index 00000000000000..5ab531a69cdc76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_atco2_asr_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_atco2_asr_pipeline pipeline WhisperForCTC from jlvdoorn
+author: John Snow Labs
+name: whisper_small_atco2_asr_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_atco2_asr_pipeline` is a English model originally trained by jlvdoorn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_atco2_asr_pipeline_en_5.5.0_3.0_1726936153815.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_atco2_asr_pipeline_en_5.5.0_3.0_1726936153815.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_atco2_asr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_atco2_asr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_atco2_asr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/jlvdoorn/whisper-small-atco2-asr
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_bengali_shamik_pipeline_bn.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_bengali_shamik_pipeline_bn.md
new file mode 100644
index 00000000000000..e73dc04e578579
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_bengali_shamik_pipeline_bn.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Bengali whisper_small_bengali_shamik_pipeline pipeline WhisperForCTC from Shamik
+author: John Snow Labs
+name: whisper_small_bengali_shamik_pipeline
+date: 2024-09-21
+tags: [bn, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: bn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_bengali_shamik_pipeline` is a Bengali model originally trained by Shamik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_bengali_shamik_pipeline_bn_5.5.0_3.0_1726905601199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_bengali_shamik_pipeline_bn_5.5.0_3.0_1726905601199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_bengali_shamik_pipeline", lang = "bn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_bengali_shamik_pipeline", lang = "bn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_bengali_shamik_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|bn|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Shamik/whisper-small-bn
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_best_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_best_pipeline_de.md
new file mode 100644
index 00000000000000..48425277491691
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_best_pipeline_de.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: German whisper_small_best_pipeline pipeline WhisperForCTC from marccgrau
+author: John Snow Labs
+name: whisper_small_best_pipeline
+date: 2024-09-21
+tags: [de, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_best_pipeline` is a German model originally trained by marccgrau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_best_pipeline_de_5.5.0_3.0_1726904999911.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_best_pipeline_de_5.5.0_3.0_1726904999911.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_best_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_best_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_best_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/marccgrau/whisper-small-best
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_chinese_hk_jason1i_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_chinese_hk_jason1i_en.md
new file mode 100644
index 00000000000000..350870d2eb564b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_chinese_hk_jason1i_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_chinese_hk_jason1i WhisperForCTC from jason1i
+author: John Snow Labs
+name: whisper_small_chinese_hk_jason1i
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_chinese_hk_jason1i` is a English model originally trained by jason1i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_chinese_hk_jason1i_en_5.5.0_3.0_1726877886740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_chinese_hk_jason1i_en_5.5.0_3.0_1726877886740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_chinese_hk_jason1i|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/jason1i/whisper-small-zh-HK
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_chinese_hk_jason1i_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_chinese_hk_jason1i_pipeline_en.md
new file mode 100644
index 00000000000000..7b622b8df4c057
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_chinese_hk_jason1i_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_chinese_hk_jason1i_pipeline pipeline WhisperForCTC from jason1i
+author: John Snow Labs
+name: whisper_small_chinese_hk_jason1i_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_chinese_hk_jason1i_pipeline` is a English model originally trained by jason1i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_chinese_hk_jason1i_pipeline_en_5.5.0_3.0_1726877978548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_chinese_hk_jason1i_pipeline_en_5.5.0_3.0_1726877978548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_chinese_hk_jason1i_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_chinese_hk_jason1i_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_chinese_hk_jason1i_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/jason1i/whisper-small-zh-HK
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_cn_patrickml_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_cn_patrickml_pipeline_en.md
new file mode 100644
index 00000000000000..ecf9cb43be57ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_cn_patrickml_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_cn_patrickml_pipeline pipeline WhisperForCTC from PatrickML
+author: John Snow Labs
+name: whisper_small_cn_patrickml_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_cn_patrickml_pipeline` is a English model originally trained by PatrickML.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_cn_patrickml_pipeline_en_5.5.0_3.0_1726911080110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_cn_patrickml_pipeline_en_5.5.0_3.0_1726911080110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_cn_patrickml_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_cn_patrickml_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_cn_patrickml_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/PatrickML/whisper-small-CN
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ctmtrained_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ctmtrained_en.md
new file mode 100644
index 00000000000000..3a6293a309e0d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ctmtrained_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_ctmtrained WhisperForCTC from ctm446
+author: John Snow Labs
+name: whisper_small_ctmtrained
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_ctmtrained` is a English model originally trained by ctm446.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_ctmtrained_en_5.5.0_3.0_1726905695025.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_ctmtrained_en_5.5.0_3.0_1726905695025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_ctmtrained|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ctm446/whisper-small-ctmtrained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ctmtrained_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ctmtrained_pipeline_en.md
new file mode 100644
index 00000000000000..8e5c82f692e18d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ctmtrained_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_ctmtrained_pipeline pipeline WhisperForCTC from ctm446
+author: John Snow Labs
+name: whisper_small_ctmtrained_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_ctmtrained_pipeline` is a English model originally trained by ctm446.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_ctmtrained_pipeline_en_5.5.0_3.0_1726905779785.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_ctmtrained_pipeline_en_5.5.0_3.0_1726905779785.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_ctmtrained_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_ctmtrained_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_ctmtrained_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ctm446/whisper-small-ctmtrained
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_divehi_nafishzaldinanda_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_divehi_nafishzaldinanda_en.md
new file mode 100644
index 00000000000000..1ba34266e44aaf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_divehi_nafishzaldinanda_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_divehi_nafishzaldinanda WhisperForCTC from NafishZaldinanda
+author: John Snow Labs
+name: whisper_small_divehi_nafishzaldinanda
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_divehi_nafishzaldinanda` is a English model originally trained by NafishZaldinanda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_nafishzaldinanda_en_5.5.0_3.0_1726907455591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_nafishzaldinanda_en_5.5.0_3.0_1726907455591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_divehi_nafishzaldinanda|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/NafishZaldinanda/whisper-small-dv
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_divehi_nafishzaldinanda_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_divehi_nafishzaldinanda_pipeline_en.md
new file mode 100644
index 00000000000000..fd4639871fc769
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_divehi_nafishzaldinanda_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_divehi_nafishzaldinanda_pipeline pipeline WhisperForCTC from NafishZaldinanda
+author: John Snow Labs
+name: whisper_small_divehi_nafishzaldinanda_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_divehi_nafishzaldinanda_pipeline` is a English model originally trained by NafishZaldinanda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_nafishzaldinanda_pipeline_en_5.5.0_3.0_1726907532398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_nafishzaldinanda_pipeline_en_5.5.0_3.0_1726907532398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_divehi_nafishzaldinanda_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_divehi_nafishzaldinanda_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_divehi_nafishzaldinanda_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/NafishZaldinanda/whisper-small-dv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_divehi_ptah23_pipeline_dv.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_divehi_ptah23_pipeline_dv.md
new file mode 100644
index 00000000000000..bad0d1bc1c53cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_divehi_ptah23_pipeline_dv.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Dhivehi, Divehi, Maldivian whisper_small_divehi_ptah23_pipeline pipeline WhisperForCTC from ptah23
+author: John Snow Labs
+name: whisper_small_divehi_ptah23_pipeline
+date: 2024-09-21
+tags: [dv, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: dv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_divehi_ptah23_pipeline` is a Dhivehi, Divehi, Maldivian model originally trained by ptah23.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_ptah23_pipeline_dv_5.5.0_3.0_1726890904394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_ptah23_pipeline_dv_5.5.0_3.0_1726890904394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_divehi_ptah23_pipeline", lang = "dv")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_divehi_ptah23_pipeline", lang = "dv")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_divehi_ptah23_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|dv|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ptah23/whisper-small-dv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_divehi_tashi58_dv.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_divehi_tashi58_dv.md
new file mode 100644
index 00000000000000..be04345a08f184
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_divehi_tashi58_dv.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Dhivehi, Divehi, Maldivian whisper_small_divehi_tashi58 WhisperForCTC from Tashi58
+author: John Snow Labs
+name: whisper_small_divehi_tashi58
+date: 2024-09-21
+tags: [dv, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: dv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_divehi_tashi58` is a Dhivehi, Divehi, Maldivian model originally trained by Tashi58.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_tashi58_dv_5.5.0_3.0_1726936234191.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_tashi58_dv_5.5.0_3.0_1726936234191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|dv|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ClementXie/whisper-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_egy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_egy_pipeline_en.md
new file mode 100644
index 00000000000000..b633b196c0cfff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_egy_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_egy_pipeline pipeline WhisperForCTC from HuggingPanda
+author: John Snow Labs
+name: whisper_small_egy_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_egy_pipeline` is a English model originally trained by HuggingPanda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_egy_pipeline_en_5.5.0_3.0_1726939727362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_egy_pipeline_en_5.5.0_3.0_1726939727362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_egy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_egy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_egy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/HuggingPanda/whisper-small-egy
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_english_mskov_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_english_mskov_en.md
new file mode 100644
index 00000000000000..2c5d6a90f71fd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_english_mskov_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_english_mskov WhisperForCTC from mskov
+author: John Snow Labs
+name: whisper_small_english_mskov
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_english_mskov` is a English model originally trained by mskov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_english_mskov_en_5.5.0_3.0_1726949929598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_english_mskov_en_5.5.0_3.0_1726949929598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_english_mskov|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/mskov/whisper-small.en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_english_tonga_tonga_islands_myst55h_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_english_tonga_tonga_islands_myst55h_pipeline_en.md
new file mode 100644
index 00000000000000..e1484cce58038c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_english_tonga_tonga_islands_myst55h_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_english_tonga_tonga_islands_myst55h_pipeline pipeline WhisperForCTC from rishabhjain16
+author: John Snow Labs
+name: whisper_small_english_tonga_tonga_islands_myst55h_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_english_tonga_tonga_islands_myst55h_pipeline` is a English model originally trained by rishabhjain16.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_english_tonga_tonga_islands_myst55h_pipeline_en_5.5.0_3.0_1726911965461.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_english_tonga_tonga_islands_myst55h_pipeline_en_5.5.0_3.0_1726911965461.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_english_tonga_tonga_islands_myst55h_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_english_tonga_tonga_islands_myst55h_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_english_tonga_tonga_islands_myst55h_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/rishabhjain16/whisper_small_en_to_myst55h
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_european_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_european_en.md
new file mode 100644
index 00000000000000..34cb7bf1b5fc99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_european_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_european WhisperForCTC from aware-ai
+author: John Snow Labs
+name: whisper_small_european
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_european` is a English model originally trained by aware-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_european_en_5.5.0_3.0_1726935937730.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_european_en_5.5.0_3.0_1726935937730.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_fine_tuned_with_patient_conversations|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ilyyyyy/whisper-small-fine-tuned-with-patient-conversations
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_fine_tuned_with_patient_conversations_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_fine_tuned_with_patient_conversations_pipeline_en.md
new file mode 100644
index 00000000000000..9c65e74ee7ccb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_fine_tuned_with_patient_conversations_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_fine_tuned_with_patient_conversations_pipeline pipeline WhisperForCTC from ilyyyyy
+author: John Snow Labs
+name: whisper_small_fine_tuned_with_patient_conversations_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_fine_tuned_with_patient_conversations_pipeline` is a English model originally trained by ilyyyyy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_fine_tuned_with_patient_conversations_pipeline_en_5.5.0_3.0_1726906087124.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_fine_tuned_with_patient_conversations_pipeline_en_5.5.0_3.0_1726906087124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_fine_tuned_with_patient_conversations_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_fine_tuned_with_patient_conversations_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_fine_tuned_with_patient_conversations_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ilyyyyy/whisper-small-fine-tuned-with-patient-conversations
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ga2en_v1_2_r_ga.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ga2en_v1_2_r_ga.md
new file mode 100644
index 00000000000000..842b47a2bb40b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ga2en_v1_2_r_ga.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Irish whisper_small_ga2en_v1_2_r WhisperForCTC from ymoslem
+author: John Snow Labs
+name: whisper_small_ga2en_v1_2_r
+date: 2024-09-21
+tags: [ga, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ga
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_ga2en_v1_2_r` is a Irish model originally trained by ymoslem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_ga2en_v1_2_r_ga_5.5.0_3.0_1726937466070.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_ga2en_v1_2_r_ga_5.5.0_3.0_1726937466070.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_ga2en_v5_2_1_r|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ga|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ymoslem/whisper-small-ga2en-v5.2.1-r
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ga2en_v5_2_1_r_pipeline_ga.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ga2en_v5_2_1_r_pipeline_ga.md
new file mode 100644
index 00000000000000..c03ec1cecb5ebc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ga2en_v5_2_1_r_pipeline_ga.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Irish whisper_small_ga2en_v5_2_1_r_pipeline pipeline WhisperForCTC from ymoslem
+author: John Snow Labs
+name: whisper_small_ga2en_v5_2_1_r_pipeline
+date: 2024-09-21
+tags: [ga, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ga
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_ga2en_v5_2_1_r_pipeline` is a Irish model originally trained by ymoslem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_ga2en_v5_2_1_r_pipeline_ga_5.5.0_3.0_1726876975780.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_ga2en_v5_2_1_r_pipeline_ga_5.5.0_3.0_1726876975780.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_ga2en_v5_2_1_r_pipeline", lang = "ga")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_ga2en_v5_2_1_r_pipeline", lang = "ga")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_ga2en_v5_2_1_r_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ga|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ymoslem/whisper-small-ga2en-v5.2.1-r
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ger_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ger_pipeline_en.md
new file mode 100644
index 00000000000000..4737f61a65f885
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ger_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_ger_pipeline pipeline WhisperForCTC from daniel123321
+author: John Snow Labs
+name: whisper_small_ger_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_ger_pipeline` is a English model originally trained by daniel123321.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_ger_pipeline_en_5.5.0_3.0_1726895024495.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_ger_pipeline_en_5.5.0_3.0_1726895024495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_ger_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_ger_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_ger_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/daniel123321/whisper-small-ger
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hausa_phaeeza_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hausa_phaeeza_pipeline_en.md
new file mode 100644
index 00000000000000..e9422cf52bef08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hausa_phaeeza_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_hausa_phaeeza_pipeline pipeline WhisperForCTC from phaeeza
+author: John Snow Labs
+name: whisper_small_hausa_phaeeza_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hausa_phaeeza_pipeline` is a English model originally trained by phaeeza.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hausa_phaeeza_pipeline_en_5.5.0_3.0_1726948066875.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hausa_phaeeza_pipeline_en_5.5.0_3.0_1726948066875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hausa_phaeeza_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hausa_phaeeza_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hausa_phaeeza_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/phaeeza/whisper-small-ha
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hebrew_modern_3_he.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hebrew_modern_3_he.md
new file mode 100644
index 00000000000000..1eeebd9f9f0b00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hebrew_modern_3_he.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hebrew whisper_small_hebrew_modern_3 WhisperForCTC from mike249
+author: John Snow Labs
+name: whisper_small_hebrew_modern_3
+date: 2024-09-21
+tags: [he, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: he
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hebrew_modern_3` is a Hebrew model originally trained by mike249.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hebrew_modern_3_he_5.5.0_3.0_1726879173933.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hebrew_modern_3_he_5.5.0_3.0_1726879173933.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_02_liangc40|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/liangc40/whisper-small-hi_02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_02_liangc40_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_02_liangc40_pipeline_en.md
new file mode 100644
index 00000000000000..6f208874c5ec35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_02_liangc40_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_hindi_02_liangc40_pipeline pipeline WhisperForCTC from liangc40
+author: John Snow Labs
+name: whisper_small_hindi_02_liangc40_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_02_liangc40_pipeline` is a English model originally trained by liangc40.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_02_liangc40_pipeline_en_5.5.0_3.0_1726961709016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_02_liangc40_pipeline_en_5.5.0_3.0_1726961709016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_02_liangc40_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_02_liangc40_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_02_liangc40_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/liangc40/whisper-small-hi_02
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_anuragshas_hi.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_anuragshas_hi.md
new file mode 100644
index 00000000000000..652ebfddf078f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_anuragshas_hi.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_anuragshas WhisperForCTC from anuragshas
+author: John Snow Labs
+name: whisper_small_hindi_anuragshas
+date: 2024-09-21
+tags: [hi, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_anuragshas` is a Hindi model originally trained by anuragshas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_anuragshas_hi_5.5.0_3.0_1726892582397.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_anuragshas_hi_5.5.0_3.0_1726892582397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_anuragshas|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/anuragshas/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_anuragshas_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_anuragshas_pipeline_hi.md
new file mode 100644
index 00000000000000..445bc0b528ac7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_anuragshas_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_anuragshas_pipeline pipeline WhisperForCTC from anuragshas
+author: John Snow Labs
+name: whisper_small_hindi_anuragshas_pipeline
+date: 2024-09-21
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_anuragshas_pipeline` is a Hindi model originally trained by anuragshas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_anuragshas_pipeline_hi_5.5.0_3.0_1726892665928.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_anuragshas_pipeline_hi_5.5.0_3.0_1726892665928.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_anuragshas_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_anuragshas_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_anuragshas_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/anuragshas/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_jamin20_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_jamin20_pipeline_en.md
new file mode 100644
index 00000000000000..3da3958795cbca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_jamin20_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_hindi_jamin20_pipeline pipeline WhisperForCTC from Jamin20
+author: John Snow Labs
+name: whisper_small_hindi_jamin20_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_jamin20_pipeline` is a English model originally trained by Jamin20.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_jamin20_pipeline_en_5.5.0_3.0_1726911798803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_jamin20_pipeline_en_5.5.0_3.0_1726911798803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_jamin20_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_jamin20_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_jamin20_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Jamin20/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_lmh16_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_lmh16_en.md
new file mode 100644
index 00000000000000..c4081309af6000
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_lmh16_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_hindi_lmh16 WhisperForCTC from lmh16
+author: John Snow Labs
+name: whisper_small_hindi_lmh16
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_lmh16` is a English model originally trained by lmh16.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_lmh16_en_5.5.0_3.0_1726912886963.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_lmh16_en_5.5.0_3.0_1726912886963.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_lmh16|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/lmh16/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_lmh16_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_lmh16_pipeline_en.md
new file mode 100644
index 00000000000000..de033298cc25c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_lmh16_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_hindi_lmh16_pipeline pipeline WhisperForCTC from lmh16
+author: John Snow Labs
+name: whisper_small_hindi_lmh16_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_lmh16_pipeline` is a English model originally trained by lmh16.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_lmh16_pipeline_en_5.5.0_3.0_1726912968052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_lmh16_pipeline_en_5.5.0_3.0_1726912968052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_lmh16_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_lmh16_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_lmh16_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/lmh16/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_me2140733_hi.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_me2140733_hi.md
new file mode 100644
index 00000000000000..8a2ed9b4b3400b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_me2140733_hi.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_me2140733 WhisperForCTC from me2140733
+author: John Snow Labs
+name: whisper_small_hindi_me2140733
+date: 2024-09-21
+tags: [hi, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_me2140733` is a Hindi model originally trained by me2140733.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_me2140733_hi_5.5.0_3.0_1726909994177.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_me2140733_hi_5.5.0_3.0_1726909994177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_me2140733|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/me2140733/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_me2140733_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_me2140733_pipeline_hi.md
new file mode 100644
index 00000000000000..4c8d07cfe69600
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_me2140733_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_me2140733_pipeline pipeline WhisperForCTC from me2140733
+author: John Snow Labs
+name: whisper_small_hindi_me2140733_pipeline
+date: 2024-09-21
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_me2140733_pipeline` is a Hindi model originally trained by me2140733.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_me2140733_pipeline_hi_5.5.0_3.0_1726910081512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_me2140733_pipeline_hi_5.5.0_3.0_1726910081512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_me2140733_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_me2140733_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_me2140733_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/me2140733/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_qisan_pipeline_sv.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_qisan_pipeline_sv.md
new file mode 100644
index 00000000000000..c9fbf4b9c69f81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_qisan_pipeline_sv.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Swedish whisper_small_hindi_qisan_pipeline pipeline WhisperForCTC from qisan
+author: John Snow Labs
+name: whisper_small_hindi_qisan_pipeline
+date: 2024-09-21
+tags: [sv, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: sv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_qisan_pipeline` is a Swedish model originally trained by qisan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_qisan_pipeline_sv_5.5.0_3.0_1726951230753.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_qisan_pipeline_sv_5.5.0_3.0_1726951230753.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_qisan_pipeline", lang = "sv")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_qisan_pipeline", lang = "sv")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_qisan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|sv|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/qisan/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_qisan_sv.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_qisan_sv.md
new file mode 100644
index 00000000000000..238eb1d358401a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_qisan_sv.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Swedish whisper_small_hindi_qisan WhisperForCTC from qisan
+author: John Snow Labs
+name: whisper_small_hindi_qisan
+date: 2024-09-21
+tags: [sv, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: sv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_qisan` is a Swedish model originally trained by qisan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_qisan_sv_5.5.0_3.0_1726951140976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_qisan_sv_5.5.0_3.0_1726951140976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_rishita25|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/rishita25/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_rishita25_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_rishita25_pipeline_en.md
new file mode 100644
index 00000000000000..97199d078bf54a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_rishita25_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_hindi_rishita25_pipeline pipeline WhisperForCTC from rishita25
+author: John Snow Labs
+name: whisper_small_hindi_rishita25_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_rishita25_pipeline` is a English model originally trained by rishita25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_rishita25_pipeline_en_5.5.0_3.0_1726892737210.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_rishita25_pipeline_en_5.5.0_3.0_1726892737210.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_rishita25_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_rishita25_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_rishita25_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/rishita25/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_riteshkr_hi.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_riteshkr_hi.md
new file mode 100644
index 00000000000000..42335f5b48371b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_riteshkr_hi.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_riteshkr WhisperForCTC from riteshkr
+author: John Snow Labs
+name: whisper_small_hindi_riteshkr
+date: 2024-09-21
+tags: [hi, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_riteshkr` is a Hindi model originally trained by riteshkr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_riteshkr_hi_5.5.0_3.0_1726951320112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_riteshkr_hi_5.5.0_3.0_1726951320112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_riteshkr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/riteshkr/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_riteshkr_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_riteshkr_pipeline_hi.md
new file mode 100644
index 00000000000000..b58948df50e053
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_riteshkr_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_riteshkr_pipeline pipeline WhisperForCTC from riteshkr
+author: John Snow Labs
+name: whisper_small_hindi_riteshkr_pipeline
+date: 2024-09-21
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_riteshkr_pipeline` is a Hindi model originally trained by riteshkr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_riteshkr_pipeline_hi_5.5.0_3.0_1726951408597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_riteshkr_pipeline_hi_5.5.0_3.0_1726951408597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_riteshkr_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_riteshkr_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_riteshkr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/riteshkr/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_wx971025_hi.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_wx971025_hi.md
new file mode 100644
index 00000000000000..029ce706cfb848
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_wx971025_hi.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_wx971025 WhisperForCTC from Wx971025
+author: John Snow Labs
+name: whisper_small_hindi_wx971025
+date: 2024-09-21
+tags: [hi, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_wx971025` is a Hindi model originally trained by Wx971025.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_wx971025_hi_5.5.0_3.0_1726892759940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_wx971025_hi_5.5.0_3.0_1726892759940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_wx971025|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hi|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/Wx971025/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_wx971025_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_wx971025_pipeline_hi.md
new file mode 100644
index 00000000000000..7ac2b6ed1984d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_wx971025_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_wx971025_pipeline pipeline WhisperForCTC from Wx971025
+author: John Snow Labs
+name: whisper_small_hindi_wx971025_pipeline
+date: 2024-09-21
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_wx971025_pipeline` is a Hindi model originally trained by Wx971025.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_wx971025_pipeline_hi_5.5.0_3.0_1726893059799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_wx971025_pipeline_hi_5.5.0_3.0_1726893059799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_wx971025_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_wx971025_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_wx971025_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/Wx971025/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_yash_04_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_yash_04_en.md
new file mode 100644
index 00000000000000..ce70383f420b12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_yash_04_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_hindi_yash_04 WhisperForCTC from yash-04
+author: John Snow Labs
+name: whisper_small_hindi_yash_04
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_yash_04` is a English model originally trained by yash-04.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_yash_04_en_5.5.0_3.0_1726905869656.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_yash_04_en_5.5.0_3.0_1726905869656.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_yash_04|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/yash-04/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_yash_04_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_yash_04_pipeline_en.md
new file mode 100644
index 00000000000000..8c7ca68586eee4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hindi_yash_04_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_hindi_yash_04_pipeline pipeline WhisperForCTC from yash-04
+author: John Snow Labs
+name: whisper_small_hindi_yash_04_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_yash_04_pipeline` is a English model originally trained by yash-04.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_yash_04_pipeline_en_5.5.0_3.0_1726905951712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_yash_04_pipeline_en_5.5.0_3.0_1726905951712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_yash_04_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_yash_04_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_yash_04_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/yash-04/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hre6_nu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hre6_nu_pipeline_en.md
new file mode 100644
index 00000000000000..48a60a4aa8f50c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_hre6_nu_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_hre6_nu_pipeline pipeline WhisperForCTC from ntviet
+author: John Snow Labs
+name: whisper_small_hre6_nu_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hre6_nu_pipeline` is a English model originally trained by ntviet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hre6_nu_pipeline_en_5.5.0_3.0_1726911061967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hre6_nu_pipeline_en_5.5.0_3.0_1726911061967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hre6_nu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hre6_nu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hre6_nu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ntviet/whisper-small-hre6-nu
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_igbo_jamese360_pipeline_ig.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_igbo_jamese360_pipeline_ig.md
new file mode 100644
index 00000000000000..1b1971295d746a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_igbo_jamese360_pipeline_ig.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Igbo whisper_small_igbo_jamese360_pipeline pipeline WhisperForCTC from jamese360
+author: John Snow Labs
+name: whisper_small_igbo_jamese360_pipeline
+date: 2024-09-21
+tags: [ig, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ig
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_igbo_jamese360_pipeline` is a Igbo model originally trained by jamese360.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_igbo_jamese360_pipeline_ig_5.5.0_3.0_1726892402949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_igbo_jamese360_pipeline_ig_5.5.0_3.0_1726892402949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_igbo_jamese360_pipeline", lang = "ig")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_igbo_jamese360_pipeline", lang = "ig")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_igbo_jamese360_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ig|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/jamese360/whisper-small-ig
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_indonesian_nafishzaldinanda_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_indonesian_nafishzaldinanda_en.md
new file mode 100644
index 00000000000000..c5a6daf9a7a5e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_indonesian_nafishzaldinanda_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_indonesian_nafishzaldinanda WhisperForCTC from NafishZaldinanda
+author: John Snow Labs
+name: whisper_small_indonesian_nafishzaldinanda
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_indonesian_nafishzaldinanda` is a English model originally trained by NafishZaldinanda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_nafishzaldinanda_en_5.5.0_3.0_1726908994012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_nafishzaldinanda_en_5.5.0_3.0_1726908994012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_indonesian_nafishzaldinanda|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/NafishZaldinanda/whisper-small-id
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_indonesian_nafishzaldinanda_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_indonesian_nafishzaldinanda_pipeline_en.md
new file mode 100644
index 00000000000000..b39d3a83cce378
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_indonesian_nafishzaldinanda_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_indonesian_nafishzaldinanda_pipeline pipeline WhisperForCTC from NafishZaldinanda
+author: John Snow Labs
+name: whisper_small_indonesian_nafishzaldinanda_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_indonesian_nafishzaldinanda_pipeline` is a English model originally trained by NafishZaldinanda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_nafishzaldinanda_pipeline_en_5.5.0_3.0_1726909073128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_nafishzaldinanda_pipeline_en_5.5.0_3.0_1726909073128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_indonesian_nafishzaldinanda_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_indonesian_nafishzaldinanda_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_indonesian_nafishzaldinanda_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/NafishZaldinanda/whisper-small-id
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_indonesian_therains_id.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_indonesian_therains_id.md
new file mode 100644
index 00000000000000..872499b7768d07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_indonesian_therains_id.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Indonesian whisper_small_indonesian_therains WhisperForCTC from TheRains
+author: John Snow Labs
+name: whisper_small_indonesian_therains
+date: 2024-09-21
+tags: [id, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_indonesian_therains` is a Indonesian model originally trained by TheRains.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_therains_id_5.5.0_3.0_1726962419833.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_therains_id_5.5.0_3.0_1726962419833.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_indonesian_therains|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|id|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/TheRains/whisper-small-id
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_indonesian_therains_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_indonesian_therains_pipeline_id.md
new file mode 100644
index 00000000000000..08f86794c3931e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_indonesian_therains_pipeline_id.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Indonesian whisper_small_indonesian_therains_pipeline pipeline WhisperForCTC from TheRains
+author: John Snow Labs
+name: whisper_small_indonesian_therains_pipeline
+date: 2024-09-21
+tags: [id, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_indonesian_therains_pipeline` is a Indonesian model originally trained by TheRains.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_therains_pipeline_id_5.5.0_3.0_1726962504391.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_therains_pipeline_id_5.5.0_3.0_1726962504391.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_indonesian_therains_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_indonesian_therains_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_indonesian_therains_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/TheRains/whisper-small-id
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_italian_luigisaetta_it.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_italian_luigisaetta_it.md
new file mode 100644
index 00000000000000..14a5bb3b1ac888
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_italian_luigisaetta_it.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Italian whisper_small_italian_luigisaetta WhisperForCTC from luigisaetta
+author: John Snow Labs
+name: whisper_small_italian_luigisaetta
+date: 2024-09-21
+tags: [it, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_italian_luigisaetta` is a Italian model originally trained by luigisaetta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_italian_luigisaetta_it_5.5.0_3.0_1726909270918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_italian_luigisaetta_it_5.5.0_3.0_1726909270918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_italian_luigisaetta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|it|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/luigisaetta/whisper-small-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_italian_luigisaetta_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_italian_luigisaetta_pipeline_it.md
new file mode 100644
index 00000000000000..eef6be513b454a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_italian_luigisaetta_pipeline_it.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Italian whisper_small_italian_luigisaetta_pipeline pipeline WhisperForCTC from luigisaetta
+author: John Snow Labs
+name: whisper_small_italian_luigisaetta_pipeline
+date: 2024-09-21
+tags: [it, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_italian_luigisaetta_pipeline` is a Italian model originally trained by luigisaetta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_italian_luigisaetta_pipeline_it_5.5.0_3.0_1726909351045.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_italian_luigisaetta_pipeline_it_5.5.0_3.0_1726909351045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_italian_luigisaetta_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_italian_luigisaetta_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_italian_luigisaetta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/luigisaetta/whisper-small-it
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_japanese_test2_ja.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_japanese_test2_ja.md
new file mode 100644
index 00000000000000..f54c790a75d07c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_japanese_test2_ja.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Japanese whisper_small_japanese_test2 WhisperForCTC from Slothful2024
+author: John Snow Labs
+name: whisper_small_japanese_test2
+date: 2024-09-21
+tags: [ja, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ja
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_japanese_test2` is a Japanese model originally trained by Slothful2024.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_japanese_test2_ja_5.5.0_3.0_1726893595560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_japanese_test2_ja_5.5.0_3.0_1726893595560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_japanese_test2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ja|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Slothful2024/whisper-small-ja-test2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_japanese_test2_pipeline_ja.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_japanese_test2_pipeline_ja.md
new file mode 100644
index 00000000000000..031ac58253a76e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_japanese_test2_pipeline_ja.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Japanese whisper_small_japanese_test2_pipeline pipeline WhisperForCTC from Slothful2024
+author: John Snow Labs
+name: whisper_small_japanese_test2_pipeline
+date: 2024-09-21
+tags: [ja, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ja
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_japanese_test2_pipeline` is a Japanese model originally trained by Slothful2024.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_japanese_test2_pipeline_ja_5.5.0_3.0_1726893677244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_japanese_test2_pipeline_ja_5.5.0_3.0_1726893677244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_japanese_test2_pipeline", lang = "ja")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_japanese_test2_pipeline", lang = "ja")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_japanese_test2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ja|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Slothful2024/whisper-small-ja-test2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_javanese_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_javanese_en.md
new file mode 100644
index 00000000000000..b1b26044405ccb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_javanese_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_javanese WhisperForCTC from Rizka
+author: John Snow Labs
+name: whisper_small_javanese
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_javanese` is a English model originally trained by Rizka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_javanese_en_5.5.0_3.0_1726936800542.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_javanese_en_5.5.0_3.0_1726936800542.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_korean_yfreq|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Gummybear05/whisper-small-ko-Yfreq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_korean_yfreq_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_korean_yfreq_pipeline_hi.md
new file mode 100644
index 00000000000000..9be9662eb05848
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_korean_yfreq_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_korean_yfreq_pipeline pipeline WhisperForCTC from Gummybear05
+author: John Snow Labs
+name: whisper_small_korean_yfreq_pipeline
+date: 2024-09-21
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_korean_yfreq_pipeline` is a Hindi model originally trained by Gummybear05.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_korean_yfreq_pipeline_hi_5.5.0_3.0_1726905335726.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_korean_yfreq_pipeline_hi_5.5.0_3.0_1726905335726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_korean_yfreq_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_korean_yfreq_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_korean_yfreq_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Gummybear05/whisper-small-ko-Yfreq
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_korean_young_sp_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_korean_young_sp_en.md
new file mode 100644
index 00000000000000..39c22a497fa25b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_korean_young_sp_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_korean_young_sp WhisperForCTC from syp1229
+author: John Snow Labs
+name: whisper_small_korean_young_sp
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_korean_young_sp` is a English model originally trained by syp1229.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_korean_young_sp_en_5.5.0_3.0_1726961757008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_korean_young_sp_en_5.5.0_3.0_1726961757008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_korean_young_sp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/syp1229/whisper-small-ko-young-sp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_korean_young_sp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_korean_young_sp_pipeline_en.md
new file mode 100644
index 00000000000000..8c6c854e0adc10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_korean_young_sp_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_korean_young_sp_pipeline pipeline WhisperForCTC from syp1229
+author: John Snow Labs
+name: whisper_small_korean_young_sp_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_korean_young_sp_pipeline` is a English model originally trained by syp1229.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_korean_young_sp_pipeline_en_5.5.0_3.0_1726961834834.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_korean_young_sp_pipeline_en_5.5.0_3.0_1726961834834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_korean_young_sp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_korean_young_sp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_korean_young_sp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/syp1229/whisper-small-ko-young-sp
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_kurdish_ckb_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_kurdish_ckb_en.md
new file mode 100644
index 00000000000000..ce722fffd48f92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_kurdish_ckb_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_kurdish_ckb WhisperForCTC from roshna-omer
+author: John Snow Labs
+name: whisper_small_kurdish_ckb
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_kurdish_ckb` is a English model originally trained by roshna-omer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_kurdish_ckb_en_5.5.0_3.0_1726950134496.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_kurdish_ckb_en_5.5.0_3.0_1726950134496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_llm_lingo_o|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Enagamirzayev/whisper-small-llm-lingo_o
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_llm_lingo_o_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_llm_lingo_o_pipeline_en.md
new file mode 100644
index 00000000000000..96024e4b780b69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_llm_lingo_o_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_llm_lingo_o_pipeline pipeline WhisperForCTC from Enagamirzayev
+author: John Snow Labs
+name: whisper_small_llm_lingo_o_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_llm_lingo_o_pipeline` is a English model originally trained by Enagamirzayev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_llm_lingo_o_pipeline_en_5.5.0_3.0_1726891735513.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_llm_lingo_o_pipeline_en_5.5.0_3.0_1726891735513.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_llm_lingo_o_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_llm_lingo_o_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_llm_lingo_o_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Enagamirzayev/whisper-small-llm-lingo_o
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_oriya_v1_3_pipeline_or.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_oriya_v1_3_pipeline_or.md
new file mode 100644
index 00000000000000..7a64dbf604e75d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_oriya_v1_3_pipeline_or.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Oriya (macrolanguage) whisper_small_oriya_v1_3_pipeline pipeline WhisperForCTC from chandan3007
+author: John Snow Labs
+name: whisper_small_oriya_v1_3_pipeline
+date: 2024-09-21
+tags: [or, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: or
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_oriya_v1_3_pipeline` is a Oriya (macrolanguage) model originally trained by chandan3007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_oriya_v1_3_pipeline_or_5.5.0_3.0_1726937373371.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_oriya_v1_3_pipeline_or_5.5.0_3.0_1726937373371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_oriya_v1_3_pipeline", lang = "or")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_oriya_v1_3_pipeline", lang = "or")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_oriya_v1_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|or|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/chandan3007/whisper-small-oriya-v1.3
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_pashto_ps.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_pashto_ps.md
new file mode 100644
index 00000000000000..6068830568ef69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_pashto_ps.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Pashto, Pushto whisper_small_pashto WhisperForCTC from ihanif
+author: John Snow Labs
+name: whisper_small_pashto
+date: 2024-09-21
+tags: [ps, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ps
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_pashto` is a Pashto, Pushto model originally trained by ihanif.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_pashto_ps_5.5.0_3.0_1726878577342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_pashto_ps_5.5.0_3.0_1726878577342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_persian_farsi_1k_steps|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|fa|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/sanchit-gandhi/whisper-small-fa-1k-steps
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_persian_farsi_1k_steps_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_persian_farsi_1k_steps_pipeline_fa.md
new file mode 100644
index 00000000000000..5d32ae2e096a12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_persian_farsi_1k_steps_pipeline_fa.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Persian whisper_small_persian_farsi_1k_steps_pipeline pipeline WhisperForCTC from sanchit-gandhi
+author: John Snow Labs
+name: whisper_small_persian_farsi_1k_steps_pipeline
+date: 2024-09-21
+tags: [fa, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_persian_farsi_1k_steps_pipeline` is a Persian model originally trained by sanchit-gandhi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_persian_farsi_1k_steps_pipeline_fa_5.5.0_3.0_1726937185115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_persian_farsi_1k_steps_pipeline_fa_5.5.0_3.0_1726937185115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_persian_farsi_1k_steps_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_persian_farsi_1k_steps_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_persian_farsi_1k_steps_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/sanchit-gandhi/whisper-small-fa-1k-steps
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_persian_farsi_hi.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_persian_farsi_hi.md
new file mode 100644
index 00000000000000..9ef65c0326492a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_persian_farsi_hi.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hindi whisper_small_persian_farsi WhisperForCTC from hubare
+author: John Snow Labs
+name: whisper_small_persian_farsi
+date: 2024-09-21
+tags: [hi, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_persian_farsi` is a Hindi model originally trained by hubare.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_persian_farsi_hi_5.5.0_3.0_1726909994877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_persian_farsi_hi_5.5.0_3.0_1726909994877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_persian_farsi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/hubare/whisper-small-fa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_persian_farsi_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_persian_farsi_pipeline_hi.md
new file mode 100644
index 00000000000000..f30efa49cc937d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_persian_farsi_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_persian_farsi_pipeline pipeline WhisperForCTC from hubare
+author: John Snow Labs
+name: whisper_small_persian_farsi_pipeline
+date: 2024-09-21
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_persian_farsi_pipeline` is a Hindi model originally trained by hubare.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_persian_farsi_pipeline_hi_5.5.0_3.0_1726910084390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_persian_farsi_pipeline_hi_5.5.0_3.0_1726910084390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_persian_farsi_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_persian_farsi_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_persian_farsi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/hubare/whisper-small-fa
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_portuguese_1_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_portuguese_1_pipeline_pt.md
new file mode 100644
index 00000000000000..c18d62f711f8fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_portuguese_1_pipeline_pt.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Portuguese whisper_small_portuguese_1_pipeline pipeline WhisperForCTC from Berly00
+author: John Snow Labs
+name: whisper_small_portuguese_1_pipeline
+date: 2024-09-21
+tags: [pt, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_portuguese_1_pipeline` is a Portuguese model originally trained by Berly00.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_portuguese_1_pipeline_pt_5.5.0_3.0_1726939156825.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_portuguese_1_pipeline_pt_5.5.0_3.0_1726939156825.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_portuguese_1_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_portuguese_1_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_portuguese_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Berly00/whisper-small-portuguese-1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_portuguese_m2laborg_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_portuguese_m2laborg_pipeline_pt.md
new file mode 100644
index 00000000000000..574eb248552c9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_portuguese_m2laborg_pipeline_pt.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Portuguese whisper_small_portuguese_m2laborg_pipeline pipeline WhisperForCTC from M2LabOrg
+author: John Snow Labs
+name: whisper_small_portuguese_m2laborg_pipeline
+date: 2024-09-21
+tags: [pt, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_portuguese_m2laborg_pipeline` is a Portuguese model originally trained by M2LabOrg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_portuguese_m2laborg_pipeline_pt_5.5.0_3.0_1726912590327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_portuguese_m2laborg_pipeline_pt_5.5.0_3.0_1726912590327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_portuguese_m2laborg_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_portuguese_m2laborg_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_portuguese_m2laborg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/M2LabOrg/whisper-small-pt
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_portuguese_m2laborg_pt.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_portuguese_m2laborg_pt.md
new file mode 100644
index 00000000000000..0a0532ebd3ec9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_portuguese_m2laborg_pt.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Portuguese whisper_small_portuguese_m2laborg WhisperForCTC from M2LabOrg
+author: John Snow Labs
+name: whisper_small_portuguese_m2laborg
+date: 2024-09-21
+tags: [pt, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_portuguese_m2laborg` is a Portuguese model originally trained by M2LabOrg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_portuguese_m2laborg_pt_5.5.0_3.0_1726912506253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_portuguese_m2laborg_pt_5.5.0_3.0_1726912506253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_rus_kainet|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Kainet/whisper-small-rus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_rus_kainet_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_rus_kainet_pipeline_en.md
new file mode 100644
index 00000000000000..1384ecdc12a09d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_rus_kainet_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_rus_kainet_pipeline pipeline WhisperForCTC from Kainet
+author: John Snow Labs
+name: whisper_small_rus_kainet_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_rus_kainet_pipeline` is a English model originally trained by Kainet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_rus_kainet_pipeline_en_5.5.0_3.0_1726891828145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_rus_kainet_pipeline_en_5.5.0_3.0_1726891828145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_rus_kainet_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_rus_kainet_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_rus_kainet_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Kainet/whisper-small-rus
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_russian_lorenzoncina_ru.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_russian_lorenzoncina_ru.md
new file mode 100644
index 00000000000000..b96038ca06d2c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_russian_lorenzoncina_ru.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Russian whisper_small_russian_lorenzoncina WhisperForCTC from lorenzoncina
+author: John Snow Labs
+name: whisper_small_russian_lorenzoncina
+date: 2024-09-21
+tags: [ru, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_russian_lorenzoncina` is a Russian model originally trained by lorenzoncina.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_russian_lorenzoncina_ru_5.5.0_3.0_1726939249065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_russian_lorenzoncina_ru_5.5.0_3.0_1726939249065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_swe|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Alexao/whisper-small-swe
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_swe_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_swe_pipeline_en.md
new file mode 100644
index 00000000000000..b150310dfd5c4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_swe_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_swe_pipeline pipeline WhisperForCTC from Alexao
+author: John Snow Labs
+name: whisper_small_swe_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_swe_pipeline` is a English model originally trained by Alexao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_swe_pipeline_en_5.5.0_3.0_1726891405702.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_swe_pipeline_en_5.5.0_3.0_1726891405702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_swe_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_swe_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_swe_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Alexao/whisper-small-swe
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_swedish_bambara_sv.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_swedish_bambara_sv.md
new file mode 100644
index 00000000000000..30163795135f92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_swedish_bambara_sv.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Swedish whisper_small_swedish_bambara WhisperForCTC from birgermoell
+author: John Snow Labs
+name: whisper_small_swedish_bambara
+date: 2024-09-21
+tags: [sv, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: sv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_swedish_bambara` is a Swedish model originally trained by birgermoell.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_swedish_bambara_sv_5.5.0_3.0_1726912048541.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_swedish_bambara_sv_5.5.0_3.0_1726912048541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_turkish_sgangireddy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|tr|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/sgangireddy/whisper-small-tr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_uzbek_gitnazarov_pipeline_uz.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_uzbek_gitnazarov_pipeline_uz.md
new file mode 100644
index 00000000000000..4eb4d434931966
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_uzbek_gitnazarov_pipeline_uz.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Uzbek whisper_small_uzbek_gitnazarov_pipeline pipeline WhisperForCTC from GitNazarov
+author: John Snow Labs
+name: whisper_small_uzbek_gitnazarov_pipeline
+date: 2024-09-21
+tags: [uz, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: uz
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_uzbek_gitnazarov_pipeline` is a Uzbek model originally trained by GitNazarov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_uzbek_gitnazarov_pipeline_uz_5.5.0_3.0_1726951142080.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_uzbek_gitnazarov_pipeline_uz_5.5.0_3.0_1726951142080.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_uzbek_gitnazarov_pipeline", lang = "uz")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_uzbek_gitnazarov_pipeline", lang = "uz")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_uzbek_gitnazarov_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|uz|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/GitNazarov/whisper-small-uz
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_uzbek_gitnazarov_uz.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_uzbek_gitnazarov_uz.md
new file mode 100644
index 00000000000000..009a0b8624e863
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_uzbek_gitnazarov_uz.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Uzbek whisper_small_uzbek_gitnazarov WhisperForCTC from GitNazarov
+author: John Snow Labs
+name: whisper_small_uzbek_gitnazarov
+date: 2024-09-21
+tags: [uz, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: uz
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_uzbek_gitnazarov` is a Uzbek model originally trained by GitNazarov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_uzbek_gitnazarov_uz_5.5.0_3.0_1726950829188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_uzbek_gitnazarov_uz_5.5.0_3.0_1726950829188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_withaq_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/naiftamia/whisper-small-Withaq-V1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_withaq_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_withaq_v1_pipeline_en.md
new file mode 100644
index 00000000000000..e8b2cc421c6a65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_withaq_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_withaq_v1_pipeline pipeline WhisperForCTC from naiftamia
+author: John Snow Labs
+name: whisper_small_withaq_v1_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_withaq_v1_pipeline` is a English model originally trained by naiftamia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_withaq_v1_pipeline_en_5.5.0_3.0_1726905429360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_withaq_v1_pipeline_en_5.5.0_3.0_1726905429360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_withaq_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_withaq_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_withaq_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/naiftamia/whisper-small-Withaq-V1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_testing_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_testing_en.md
new file mode 100644
index 00000000000000..8bc3f710a3bd28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_testing_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_testing WhisperForCTC from SamagraDataGov
+author: John Snow Labs
+name: whisper_testing
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_testing` is a English model originally trained by SamagraDataGov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_testing_en_5.5.0_3.0_1726878565680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_testing_en_5.5.0_3.0_1726878565680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_testing|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|242.8 MB|
+
+## References
+
+https://huggingface.co/SamagraDataGov/whisper-testing
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_testing_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_testing_pipeline_en.md
new file mode 100644
index 00000000000000..0bfbc283c62be1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_testing_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_testing_pipeline pipeline WhisperForCTC from SamagraDataGov
+author: John Snow Labs
+name: whisper_testing_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_testing_pipeline` is a English model originally trained by SamagraDataGov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_testing_pipeline_en_5.5.0_3.0_1726878634881.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_testing_pipeline_en_5.5.0_3.0_1726878634881.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_testing_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_testing_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_testing_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|242.9 MB|
+
+## References
+
+https://huggingface.co/SamagraDataGov/whisper-testing
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny2_italian_it.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny2_italian_it.md
new file mode 100644
index 00000000000000..6ebf3305c49ccc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny2_italian_it.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Italian whisper_tiny2_italian WhisperForCTC from luigisaetta
+author: John Snow Labs
+name: whisper_tiny2_italian
+date: 2024-09-21
+tags: [it, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny2_italian` is a Italian model originally trained by luigisaetta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny2_italian_it_5.5.0_3.0_1726892729595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny2_italian_it_5.5.0_3.0_1726892729595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny2_italian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|it|
+|Size:|390.7 MB|
+
+## References
+
+https://huggingface.co/luigisaetta/whisper-tiny2-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny2_italian_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny2_italian_pipeline_it.md
new file mode 100644
index 00000000000000..a44c7efd40bd44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny2_italian_pipeline_it.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Italian whisper_tiny2_italian_pipeline pipeline WhisperForCTC from luigisaetta
+author: John Snow Labs
+name: whisper_tiny2_italian_pipeline
+date: 2024-09-21
+tags: [it, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny2_italian_pipeline` is a Italian model originally trained by luigisaetta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny2_italian_pipeline_it_5.5.0_3.0_1726892749195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny2_italian_pipeline_it_5.5.0_3.0_1726892749195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny2_italian_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny2_italian_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny2_italian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|390.8 MB|
+
+## References
+
+https://huggingface.co/luigisaetta/whisper-tiny2-it
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_chinese_hk_youtube_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_chinese_hk_youtube_en.md
new file mode 100644
index 00000000000000..2053b1e49d8233
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_chinese_hk_youtube_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_chinese_hk_youtube WhisperForCTC from alex-tecky
+author: John Snow Labs
+name: whisper_tiny_chinese_hk_youtube
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_chinese_hk_youtube` is a English model originally trained by alex-tecky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_chinese_hk_youtube_en_5.5.0_3.0_1726936202633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_chinese_hk_youtube_en_5.5.0_3.0_1726936202633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_chinese_hk_youtube|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.8 MB|
+
+## References
+
+https://huggingface.co/alex-tecky/whisper-tiny-zh-HK-youtube
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_chinese_hk_youtube_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_chinese_hk_youtube_pipeline_en.md
new file mode 100644
index 00000000000000..0f905e35535067
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_chinese_hk_youtube_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_chinese_hk_youtube_pipeline pipeline WhisperForCTC from alex-tecky
+author: John Snow Labs
+name: whisper_tiny_chinese_hk_youtube_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_chinese_hk_youtube_pipeline` is a English model originally trained by alex-tecky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_chinese_hk_youtube_pipeline_en_5.5.0_3.0_1726936221354.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_chinese_hk_youtube_pipeline_en_5.5.0_3.0_1726936221354.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_chinese_hk_youtube_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_chinese_hk_youtube_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_chinese_hk_youtube_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/alex-tecky/whisper-tiny-zh-HK-youtube
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_cv16_hungarian_final_hu.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_cv16_hungarian_final_hu.md
new file mode 100644
index 00000000000000..2a6d1be949cbf9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_cv16_hungarian_final_hu.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hungarian whisper_tiny_cv16_hungarian_final WhisperForCTC from Hungarians
+author: John Snow Labs
+name: whisper_tiny_cv16_hungarian_final
+date: 2024-09-21
+tags: [hu, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hu
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_cv16_hungarian_final` is a Hungarian model originally trained by Hungarians.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_cv16_hungarian_final_hu_5.5.0_3.0_1726892591598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_cv16_hungarian_final_hu_5.5.0_3.0_1726892591598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_divehi_leksa_pramheda|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.8 MB|
+
+## References
+
+https://huggingface.co/leksa-pramheda/whisper-tiny-dv
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_divehi_leksa_pramheda_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_divehi_leksa_pramheda_pipeline_en.md
new file mode 100644
index 00000000000000..b9cc2e73fc1053
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_divehi_leksa_pramheda_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_divehi_leksa_pramheda_pipeline pipeline WhisperForCTC from leksa-pramheda
+author: John Snow Labs
+name: whisper_tiny_divehi_leksa_pramheda_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_divehi_leksa_pramheda_pipeline` is a English model originally trained by leksa-pramheda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_divehi_leksa_pramheda_pipeline_en_5.5.0_3.0_1726947518821.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_divehi_leksa_pramheda_pipeline_en_5.5.0_3.0_1726947518821.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_divehi_leksa_pramheda_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_divehi_leksa_pramheda_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_divehi_leksa_pramheda_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.8 MB|
+
+## References
+
+https://huggingface.co/leksa-pramheda/whisper-tiny-dv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_divehi_mcamara_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_divehi_mcamara_en.md
new file mode 100644
index 00000000000000..056862f47b991b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_divehi_mcamara_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_divehi_mcamara WhisperForCTC from mcamara
+author: John Snow Labs
+name: whisper_tiny_divehi_mcamara
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_divehi_mcamara` is a English model originally trained by mcamara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_divehi_mcamara_en_5.5.0_3.0_1726878242269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_divehi_mcamara_en_5.5.0_3.0_1726878242269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_divehi_mcamara|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/mcamara/whisper-tiny-dv
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_divehi_mcamara_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_divehi_mcamara_pipeline_en.md
new file mode 100644
index 00000000000000..356ec731307b47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_divehi_mcamara_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_divehi_mcamara_pipeline pipeline WhisperForCTC from mcamara
+author: John Snow Labs
+name: whisper_tiny_divehi_mcamara_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_divehi_mcamara_pipeline` is a English model originally trained by mcamara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_divehi_mcamara_pipeline_en_5.5.0_3.0_1726878262061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_divehi_mcamara_pipeline_en_5.5.0_3.0_1726878262061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_divehi_mcamara_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_divehi_mcamara_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_divehi_mcamara_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/mcamara/whisper-tiny-dv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_dutch_25_nl.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_dutch_25_nl.md
new file mode 100644
index 00000000000000..b346e45c3ee43a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_dutch_25_nl.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Dutch, Flemish whisper_tiny_dutch_25 WhisperForCTC from renesteeman
+author: John Snow Labs
+name: whisper_tiny_dutch_25
+date: 2024-09-21
+tags: [nl, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: nl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_dutch_25` is a Dutch, Flemish model originally trained by renesteeman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_dutch_25_nl_5.5.0_3.0_1726936375811.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_dutch_25_nl_5.5.0_3.0_1726936375811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_english_ellight|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/Ellight/whisper-tiny-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_english_ellight_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_english_ellight_pipeline_en.md
new file mode 100644
index 00000000000000..bf61623de60dfb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_english_ellight_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_english_ellight_pipeline pipeline WhisperForCTC from Ellight
+author: John Snow Labs
+name: whisper_tiny_english_ellight_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_english_ellight_pipeline` is a English model originally trained by Ellight.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_ellight_pipeline_en_5.5.0_3.0_1726960927466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_ellight_pipeline_en_5.5.0_3.0_1726960927466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_english_ellight_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_english_ellight_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_english_ellight_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.0 MB|
+
+## References
+
+https://huggingface.co/Ellight/whisper-tiny-en
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_english_us_sumet_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_english_us_sumet_en.md
new file mode 100644
index 00000000000000..518625af1930d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_english_us_sumet_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_english_us_sumet WhisperForCTC from sumet
+author: John Snow Labs
+name: whisper_tiny_english_us_sumet
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_english_us_sumet` is a English model originally trained by sumet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_us_sumet_en_5.5.0_3.0_1726905992328.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_us_sumet_en_5.5.0_3.0_1726905992328.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_english_us_sumet|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/sumet/whisper-tiny-en-US
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_english_us_sumet_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_english_us_sumet_pipeline_en.md
new file mode 100644
index 00000000000000..21a0cd9356e4c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_english_us_sumet_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_english_us_sumet_pipeline pipeline WhisperForCTC from sumet
+author: John Snow Labs
+name: whisper_tiny_english_us_sumet_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_english_us_sumet_pipeline` is a English model originally trained by sumet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_us_sumet_pipeline_en_5.5.0_3.0_1726906011183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_us_sumet_pipeline_en_5.5.0_3.0_1726906011183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_english_us_sumet_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_english_us_sumet_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_english_us_sumet_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/sumet/whisper-tiny-en-US
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_enus_tieincred_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_enus_tieincred_en.md
new file mode 100644
index 00000000000000..71c7bb47b65342
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_enus_tieincred_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_enus_tieincred WhisperForCTC from TieIncred
+author: John Snow Labs
+name: whisper_tiny_enus_tieincred
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_enus_tieincred` is a English model originally trained by TieIncred.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_enus_tieincred_en_5.5.0_3.0_1726906233761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_enus_tieincred_en_5.5.0_3.0_1726906233761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_enus_tieincred|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/TieIncred/whisper-tiny-enUS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_enus_tieincred_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_enus_tieincred_pipeline_en.md
new file mode 100644
index 00000000000000..6206b95a784cde
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_enus_tieincred_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_enus_tieincred_pipeline pipeline WhisperForCTC from TieIncred
+author: John Snow Labs
+name: whisper_tiny_enus_tieincred_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_enus_tieincred_pipeline` is a English model originally trained by TieIncred.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_enus_tieincred_pipeline_en_5.5.0_3.0_1726906253424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_enus_tieincred_pipeline_en_5.5.0_3.0_1726906253424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_enus_tieincred_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_enus_tieincred_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_enus_tieincred_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/TieIncred/whisper-tiny-enUS
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_faroese_8k_steps_100h_fo.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_faroese_8k_steps_100h_fo.md
new file mode 100644
index 00000000000000..a575c6afb95edd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_faroese_8k_steps_100h_fo.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Faroese whisper_tiny_faroese_8k_steps_100h WhisperForCTC from carlosdanielhernandezmena
+author: John Snow Labs
+name: whisper_tiny_faroese_8k_steps_100h
+date: 2024-09-21
+tags: [fo, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: fo
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_faroese_8k_steps_100h` is a Faroese model originally trained by carlosdanielhernandezmena.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_faroese_8k_steps_100h_fo_5.5.0_3.0_1726877866989.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_faroese_8k_steps_100h_fo_5.5.0_3.0_1726877866989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_faroese_8k_steps_100h|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|fo|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/carlosdanielhernandezmena/whisper-tiny-faroese-8k-steps-100h
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_faroese_8k_steps_100h_pipeline_fo.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_faroese_8k_steps_100h_pipeline_fo.md
new file mode 100644
index 00000000000000..c590913e761ecd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_faroese_8k_steps_100h_pipeline_fo.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Faroese whisper_tiny_faroese_8k_steps_100h_pipeline pipeline WhisperForCTC from carlosdanielhernandezmena
+author: John Snow Labs
+name: whisper_tiny_faroese_8k_steps_100h_pipeline
+date: 2024-09-21
+tags: [fo, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: fo
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_faroese_8k_steps_100h_pipeline` is a Faroese model originally trained by carlosdanielhernandezmena.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_faroese_8k_steps_100h_pipeline_fo_5.5.0_3.0_1726877886786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_faroese_8k_steps_100h_pipeline_fo_5.5.0_3.0_1726877886786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_faroese_8k_steps_100h_pipeline", lang = "fo")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_faroese_8k_steps_100h_pipeline", lang = "fo")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_faroese_8k_steps_100h_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fo|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/carlosdanielhernandezmena/whisper-tiny-faroese-8k-steps-100h
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_faroese_temp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_faroese_temp_pipeline_en.md
new file mode 100644
index 00000000000000..672485ae515508
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_faroese_temp_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_faroese_temp_pipeline pipeline WhisperForCTC from lukespeech
+author: John Snow Labs
+name: whisper_tiny_faroese_temp_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_faroese_temp_pipeline` is a English model originally trained by lukespeech.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_faroese_temp_pipeline_en_5.5.0_3.0_1726908859633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_faroese_temp_pipeline_en_5.5.0_3.0_1726908859633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_faroese_temp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_faroese_temp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_faroese_temp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/lukespeech/whisper-tiny-fo-temp
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_kannada_pipeline_kn.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_kannada_pipeline_kn.md
new file mode 100644
index 00000000000000..2d05ba283b0a85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_kannada_pipeline_kn.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Kannada whisper_tiny_kannada_pipeline pipeline WhisperForCTC from parambharat
+author: John Snow Labs
+name: whisper_tiny_kannada_pipeline
+date: 2024-09-21
+tags: [kn, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: kn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_kannada_pipeline` is a Kannada model originally trained by parambharat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_kannada_pipeline_kn_5.5.0_3.0_1726891937103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_kannada_pipeline_kn_5.5.0_3.0_1726891937103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_kannada_pipeline", lang = "kn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_kannada_pipeline", lang = "kn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_kannada_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|kn|
+|Size:|391.1 MB|
+
+## References
+
+https://huggingface.co/parambharat/whisper-tiny-kn
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_khmer_colab_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_khmer_colab_en.md
new file mode 100644
index 00000000000000..29c810537b43c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_khmer_colab_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_khmer_colab WhisperForCTC from seanghay
+author: John Snow Labs
+name: whisper_tiny_khmer_colab
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_khmer_colab` is a English model originally trained by seanghay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_khmer_colab_en_5.5.0_3.0_1726912661505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_khmer_colab_en_5.5.0_3.0_1726912661505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_khmer_colab|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|391.3 MB|
+
+## References
+
+https://huggingface.co/seanghay/whisper-tiny-km-colab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_khmer_colab_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_khmer_colab_pipeline_en.md
new file mode 100644
index 00000000000000..bcd236e5955a4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_khmer_colab_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_khmer_colab_pipeline pipeline WhisperForCTC from seanghay
+author: John Snow Labs
+name: whisper_tiny_khmer_colab_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_khmer_colab_pipeline` is a English model originally trained by seanghay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_khmer_colab_pipeline_en_5.5.0_3.0_1726912680861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_khmer_colab_pipeline_en_5.5.0_3.0_1726912680861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_khmer_colab_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_khmer_colab_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_khmer_colab_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|391.3 MB|
+
+## References
+
+https://huggingface.co/seanghay/whisper-tiny-km-colab
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_malayalam_sid330_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_malayalam_sid330_en.md
new file mode 100644
index 00000000000000..937f6825907931
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_malayalam_sid330_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_malayalam_sid330 WhisperForCTC from sid330
+author: John Snow Labs
+name: whisper_tiny_malayalam_sid330
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_malayalam_sid330` is a English model originally trained by sid330.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_malayalam_sid330_en_5.5.0_3.0_1726949010013.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_malayalam_sid330_en_5.5.0_3.0_1726949010013.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_malayalam_sid330|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.2 MB|
+
+## References
+
+https://huggingface.co/sid330/whisper-tiny-ml
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_malayalam_sid330_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_malayalam_sid330_pipeline_en.md
new file mode 100644
index 00000000000000..135f11e0ce4a92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_malayalam_sid330_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_malayalam_sid330_pipeline pipeline WhisperForCTC from sid330
+author: John Snow Labs
+name: whisper_tiny_malayalam_sid330_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_malayalam_sid330_pipeline` is a English model originally trained by sid330.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_malayalam_sid330_pipeline_en_5.5.0_3.0_1726949029268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_malayalam_sid330_pipeline_en_5.5.0_3.0_1726949029268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_malayalam_sid330_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_malayalam_sid330_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_malayalam_sid330_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.2 MB|
+
+## References
+
+https://huggingface.co/sid330/whisper-tiny-ml
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds14_english_nickprock_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds14_english_nickprock_en.md
new file mode 100644
index 00000000000000..e90cbede278a29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds14_english_nickprock_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_minds14_english_nickprock WhisperForCTC from nickprock
+author: John Snow Labs
+name: whisper_tiny_minds14_english_nickprock
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds14_english_nickprock` is a English model originally trained by nickprock.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_nickprock_en_5.5.0_3.0_1726948307657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_nickprock_en_5.5.0_3.0_1726948307657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds14_english_nickprock|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/nickprock/whisper-tiny-minds14-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds14_english_nickprock_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds14_english_nickprock_pipeline_en.md
new file mode 100644
index 00000000000000..51a2aebd22878f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds14_english_nickprock_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_minds14_english_nickprock_pipeline pipeline WhisperForCTC from nickprock
+author: John Snow Labs
+name: whisper_tiny_minds14_english_nickprock_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds14_english_nickprock_pipeline` is a English model originally trained by nickprock.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_nickprock_pipeline_en_5.5.0_3.0_1726948326622.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_nickprock_pipeline_en_5.5.0_3.0_1726948326622.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_minds14_english_nickprock_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_minds14_english_nickprock_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds14_english_nickprock_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/nickprock/whisper-tiny-minds14-en
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds14_iammartian0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds14_iammartian0_pipeline_en.md
new file mode 100644
index 00000000000000..12182bd656a696
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds14_iammartian0_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_minds14_iammartian0_pipeline pipeline WhisperForCTC from iammartian0
+author: John Snow Labs
+name: whisper_tiny_minds14_iammartian0_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds14_iammartian0_pipeline` is a English model originally trained by iammartian0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_iammartian0_pipeline_en_5.5.0_3.0_1726950904627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_iammartian0_pipeline_en_5.5.0_3.0_1726950904627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_minds14_iammartian0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_minds14_iammartian0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds14_iammartian0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/iammartian0/whisper-tiny-minds14
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds_hlumin_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds_hlumin_en.md
new file mode 100644
index 00000000000000..d23cc82397d906
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds_hlumin_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_minds_hlumin WhisperForCTC from hlumin
+author: John Snow Labs
+name: whisper_tiny_minds_hlumin
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds_hlumin` is a English model originally trained by hlumin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds_hlumin_en_5.5.0_3.0_1726962795653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds_hlumin_en_5.5.0_3.0_1726962795653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds_hlumin|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.8 MB|
+
+## References
+
+https://huggingface.co/hlumin/whisper-tiny-minds
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds_hlumin_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds_hlumin_pipeline_en.md
new file mode 100644
index 00000000000000..ca06afc1a21740
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_minds_hlumin_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_minds_hlumin_pipeline pipeline WhisperForCTC from hlumin
+author: John Snow Labs
+name: whisper_tiny_minds_hlumin_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds_hlumin_pipeline` is a English model originally trained by hlumin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds_hlumin_pipeline_en_5.5.0_3.0_1726962813747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds_hlumin_pipeline_en_5.5.0_3.0_1726962813747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_minds_hlumin_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_minds_hlumin_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds_hlumin_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/hlumin/whisper-tiny-minds
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_train1_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_train1_en.md
new file mode 100644
index 00000000000000..36c0f140cc8cbf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_train1_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_train1 WhisperForCTC from christinakyp
+author: John Snow Labs
+name: whisper_tiny_train1
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_train1` is a English model originally trained by christinakyp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_train1_en_5.5.0_3.0_1726948820287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_train1_en_5.5.0_3.0_1726948820287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_train1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|391.3 MB|
+
+## References
+
+https://huggingface.co/christinakyp/whisper-tiny-train1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_train1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_train1_pipeline_en.md
new file mode 100644
index 00000000000000..7d25ce16a8c73e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_train1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_train1_pipeline pipeline WhisperForCTC from christinakyp
+author: John Snow Labs
+name: whisper_tiny_train1_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_train1_pipeline` is a English model originally trained by christinakyp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_train1_pipeline_en_5.5.0_3.0_1726948844261.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_train1_pipeline_en_5.5.0_3.0_1726948844261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_train1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_train1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_train1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|391.3 MB|
+
+## References
+
+https://huggingface.co/christinakyp/whisper-tiny-train1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_wd_1k_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_wd_1k_v1_pipeline_en.md
new file mode 100644
index 00000000000000..c354c139eed13a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_tiny_wd_1k_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_wd_1k_v1_pipeline pipeline WhisperForCTC from devkyle
+author: John Snow Labs
+name: whisper_tiny_wd_1k_v1_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_wd_1k_v1_pipeline` is a English model originally trained by devkyle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_wd_1k_v1_pipeline_en_5.5.0_3.0_1726935893434.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_wd_1k_v1_pipeline_en_5.5.0_3.0_1726935893434.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_wd_1k_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_wd_1k_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_wd_1k_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.7 MB|
+
+## References
+
+https://huggingface.co/devkyle/whisper-tiny-wd-1k-v1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_v4_small_3_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_v4_small_3_en.md
new file mode 100644
index 00000000000000..a0feebb78edd5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_v4_small_3_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_v4_small_3 WhisperForCTC from karinthommen
+author: John Snow Labs
+name: whisper_v4_small_3
+date: 2024-09-21
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_v4_small_3` is a English model originally trained by karinthommen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_v4_small_3_en_5.5.0_3.0_1726937174062.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_v4_small_3_en_5.5.0_3.0_1726937174062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_v4_small_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/karinthommen/whisper-V4-small-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_v4_small_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_v4_small_3_pipeline_en.md
new file mode 100644
index 00000000000000..804adb158887b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_v4_small_3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_v4_small_3_pipeline pipeline WhisperForCTC from karinthommen
+author: John Snow Labs
+name: whisper_v4_small_3_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_v4_small_3_pipeline` is a English model originally trained by karinthommen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_v4_small_3_pipeline_en_5.5.0_3.0_1726937254162.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_v4_small_3_pipeline_en_5.5.0_3.0_1726937254162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_v4_small_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_v4_small_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_v4_small_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/karinthommen/whisper-V4-small-3
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whispnep_ne.md b/docs/_posts/ahmedlone127/2024-09-21-whispnep_ne.md
new file mode 100644
index 00000000000000..1011625c813e16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whispnep_ne.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Nepali (macrolanguage) whispnep WhisperForCTC from sunilregmi
+author: John Snow Labs
+name: whispnep
+date: 2024-09-21
+tags: [ne, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ne
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whispnep` is a Nepali (macrolanguage) model originally trained by sunilregmi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whispnep_ne_5.5.0_3.0_1726908891720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whispnep_ne_5.5.0_3.0_1726908891720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whispnep|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ne|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/sunilregmi/whispNEP
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whispnep_pipeline_ne.md b/docs/_posts/ahmedlone127/2024-09-21-whispnep_pipeline_ne.md
new file mode 100644
index 00000000000000..d839b82d691ded
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whispnep_pipeline_ne.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Nepali (macrolanguage) whispnep_pipeline pipeline WhisperForCTC from sunilregmi
+author: John Snow Labs
+name: whispnep_pipeline
+date: 2024-09-21
+tags: [ne, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ne
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whispnep_pipeline` is a Nepali (macrolanguage) model originally trained by sunilregmi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whispnep_pipeline_ne_5.5.0_3.0_1726908971604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whispnep_pipeline_ne_5.5.0_3.0_1726908971604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whispnep_pipeline", lang = "ne")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whispnep_pipeline", lang = "ne")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whispnep_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ne|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/sunilregmi/whispNEP
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-withinapps_ndd_addressbook_test_tags_cwadj_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-withinapps_ndd_addressbook_test_tags_cwadj_pipeline_en.md
new file mode 100644
index 00000000000000..b6c6c70f7c84b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-withinapps_ndd_addressbook_test_tags_cwadj_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English withinapps_ndd_addressbook_test_tags_cwadj_pipeline pipeline DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_addressbook_test_tags_cwadj_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_addressbook_test_tags_cwadj_pipeline` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_addressbook_test_tags_cwadj_pipeline_en_5.5.0_3.0_1726953257286.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_addressbook_test_tags_cwadj_pipeline_en_5.5.0_3.0_1726953257286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("withinapps_ndd_addressbook_test_tags_cwadj_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("withinapps_ndd_addressbook_test_tags_cwadj_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_addressbook_test_tags_cwadj_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-addressbook_test-tags-CWAdj
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_2_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_2_en.md
new file mode 100644
index 00000000000000..87f49d90c9cefd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_2 XlmRoBertaForSequenceClassification from alyazharr
+author: John Snow Labs
+name: xlm_roberta_base_2
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_2` is a English model originally trained by alyazharr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_2_en_5.5.0_3.0_1726918684450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_2_en_5.5.0_3.0_1726918684450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|827.5 MB|
+
+## References
+
+https://huggingface.co/alyazharr/xlm_roberta_base_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_2_pipeline_en.md
new file mode 100644
index 00000000000000..0acb22e0749805
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_2_pipeline pipeline XlmRoBertaForSequenceClassification from alyazharr
+author: John Snow Labs
+name: xlm_roberta_base_2_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_2_pipeline` is a English model originally trained by alyazharr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_2_pipeline_en_5.5.0_3.0_1726918774072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_2_pipeline_en_5.5.0_3.0_1726918774072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|827.5 MB|
+
+## References
+
+https://huggingface.co/alyazharr/xlm_roberta_base_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_vietnam_aug_replace_tfidf_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_vietnam_aug_replace_tfidf_en.md
new file mode 100644
index 00000000000000..ac5fcc213f0da0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_vietnam_aug_replace_tfidf_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_balance_vietnam_aug_replace_tfidf XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_balance_vietnam_aug_replace_tfidf
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_balance_vietnam_aug_replace_tfidf` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_vietnam_aug_replace_tfidf_en_5.5.0_3.0_1726918516471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_vietnam_aug_replace_tfidf_en_5.5.0_3.0_1726918516471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_balance_vietnam_aug_replace_tfidf|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|793.7 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Balance_VietNam-aug_replace_tfidf
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_vietnam_aug_replace_tfidf_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_vietnam_aug_replace_tfidf_pipeline_en.md
new file mode 100644
index 00000000000000..a29a2d8af0ea1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_vietnam_aug_replace_tfidf_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_balance_vietnam_aug_replace_tfidf_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_balance_vietnam_aug_replace_tfidf_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_balance_vietnam_aug_replace_tfidf_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_vietnam_aug_replace_tfidf_pipeline_en_5.5.0_3.0_1726918646903.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_vietnam_aug_replace_tfidf_pipeline_en_5.5.0_3.0_1726918646903.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_balance_vietnam_aug_replace_tfidf_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_balance_vietnam_aug_replace_tfidf_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_balance_vietnam_aug_replace_tfidf_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|793.7 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Balance_VietNam-aug_replace_tfidf
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_vietnam_aug_swap_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_vietnam_aug_swap_en.md
new file mode 100644
index 00000000000000..a9b12530643a1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_vietnam_aug_swap_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_balance_vietnam_aug_swap XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_balance_vietnam_aug_swap
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_balance_vietnam_aug_swap` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_vietnam_aug_swap_en_5.5.0_3.0_1726933119882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_vietnam_aug_swap_en_5.5.0_3.0_1726933119882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_balance_vietnam_aug_swap|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|795.3 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Balance_VietNam-aug_swap
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_vietnam_aug_swap_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_vietnam_aug_swap_pipeline_en.md
new file mode 100644
index 00000000000000..1f2db042022a11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_balance_vietnam_aug_swap_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_balance_vietnam_aug_swap_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_balance_vietnam_aug_swap_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_balance_vietnam_aug_swap_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_vietnam_aug_swap_pipeline_en_5.5.0_3.0_1726933239709.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_vietnam_aug_swap_pipeline_en_5.5.0_3.0_1726933239709.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_balance_vietnam_aug_swap_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_balance_vietnam_aug_swap_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_balance_vietnam_aug_swap_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|795.3 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Balance_VietNam-aug_swap
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_all_sungkwangjoong_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_all_sungkwangjoong_pipeline_en.md
new file mode 100644
index 00000000000000..3df2947815f768
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_all_sungkwangjoong_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_sungkwangjoong_pipeline pipeline XlmRoBertaForTokenClassification from sungkwangjoong
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_sungkwangjoong_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_sungkwangjoong_pipeline` is a English model originally trained by sungkwangjoong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_sungkwangjoong_pipeline_en_5.5.0_3.0_1726896691344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_sungkwangjoong_pipeline_en_5.5.0_3.0_1726896691344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_sungkwangjoong_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_sungkwangjoong_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_sungkwangjoong_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|850.2 MB|
+
+## References
+
+https://huggingface.co/sungkwangjoong/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_lee_soha_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_lee_soha_en.md
new file mode 100644
index 00000000000000..9d068d606f2d51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_lee_soha_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_lee_soha XlmRoBertaForTokenClassification from Lee-soha
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_lee_soha
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_lee_soha` is a English model originally trained by Lee-soha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_lee_soha_en_5.5.0_3.0_1726883615894.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_lee_soha_en_5.5.0_3.0_1726883615894.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_lee_soha|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|814.3 MB|
+
+## References
+
+https://huggingface.co/Lee-soha/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_reaverlee_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_reaverlee_en.md
new file mode 100644
index 00000000000000..84378a95da16aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_reaverlee_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_reaverlee XlmRoBertaForTokenClassification from reaverlee
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_reaverlee
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_reaverlee` is a English model originally trained by reaverlee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_reaverlee_en_5.5.0_3.0_1726897076979.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_reaverlee_en_5.5.0_3.0_1726897076979.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_reaverlee|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/reaverlee/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_reaverlee_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_reaverlee_pipeline_en.md
new file mode 100644
index 00000000000000..3d447a7b4f0a16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_reaverlee_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_reaverlee_pipeline pipeline XlmRoBertaForTokenClassification from reaverlee
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_reaverlee_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_reaverlee_pipeline` is a English model originally trained by reaverlee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_reaverlee_pipeline_en_5.5.0_3.0_1726897167038.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_reaverlee_pipeline_en_5.5.0_3.0_1726897167038.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_reaverlee_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_reaverlee_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_reaverlee_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/reaverlee/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_sponomary_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_sponomary_en.md
new file mode 100644
index 00000000000000..8cc665ba8a0c67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_sponomary_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_sponomary XlmRoBertaForTokenClassification from sponomary
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_sponomary
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_sponomary` is a English model originally trained by sponomary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_sponomary_en_5.5.0_3.0_1726883494147.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_sponomary_en_5.5.0_3.0_1726883494147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_sponomary|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/sponomary/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_sponomary_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_sponomary_pipeline_en.md
new file mode 100644
index 00000000000000..fc179465295eec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_english_sponomary_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_sponomary_pipeline pipeline XlmRoBertaForTokenClassification from sponomary
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_sponomary_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_sponomary_pipeline` is a English model originally trained by sponomary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_sponomary_pipeline_en_5.5.0_3.0_1726883587308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_sponomary_pipeline_en_5.5.0_3.0_1726883587308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_sponomary_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_sponomary_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_sponomary_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/sponomary/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_jhagege_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_jhagege_en.md
new file mode 100644
index 00000000000000..b39335ead090d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_jhagege_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_jhagege XlmRoBertaForTokenClassification from jhagege
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_jhagege
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_jhagege` is a English model originally trained by jhagege.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_jhagege_en_5.5.0_3.0_1726884180627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_jhagege_en_5.5.0_3.0_1726884180627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_jhagege|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|831.2 MB|
+
+## References
+
+https://huggingface.co/jhagege/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_ladoza03_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_ladoza03_en.md
new file mode 100644
index 00000000000000..714b9b3b46c67d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_ladoza03_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_ladoza03 XlmRoBertaForTokenClassification from ladoza03
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_ladoza03
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_ladoza03` is a English model originally trained by ladoza03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ladoza03_en_5.5.0_3.0_1726896783856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ladoza03_en_5.5.0_3.0_1726896783856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_ladoza03|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|842.1 MB|
+
+## References
+
+https://huggingface.co/ladoza03/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_ladoza03_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_ladoza03_pipeline_en.md
new file mode 100644
index 00000000000000..24bd975a716dc5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_ladoza03_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_ladoza03_pipeline pipeline XlmRoBertaForTokenClassification from ladoza03
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_ladoza03_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_ladoza03_pipeline` is a English model originally trained by ladoza03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ladoza03_pipeline_en_5.5.0_3.0_1726896862439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ladoza03_pipeline_en_5.5.0_3.0_1726896862439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_ladoza03_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_ladoza03_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_ladoza03_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|842.1 MB|
+
+## References
+
+https://huggingface.co/ladoza03/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_maxnet_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_maxnet_en.md
new file mode 100644
index 00000000000000..735783c460e7d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_maxnet_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_maxnet XlmRoBertaForTokenClassification from Maxnet
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_maxnet
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_maxnet` is a English model originally trained by Maxnet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_maxnet_en_5.5.0_3.0_1726883329071.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_maxnet_en_5.5.0_3.0_1726883329071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_maxnet|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|831.2 MB|
+
+## References
+
+https://huggingface.co/Maxnet/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_maxnet_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_maxnet_pipeline_en.md
new file mode 100644
index 00000000000000..e6539e1561dd68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_maxnet_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_maxnet_pipeline pipeline XlmRoBertaForTokenClassification from Maxnet
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_maxnet_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_maxnet_pipeline` is a English model originally trained by Maxnet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_maxnet_pipeline_en_5.5.0_3.0_1726883411129.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_maxnet_pipeline_en_5.5.0_3.0_1726883411129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_maxnet_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_maxnet_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_maxnet_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|831.2 MB|
+
+## References
+
+https://huggingface.co/Maxnet/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_skr1125_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_skr1125_en.md
new file mode 100644
index 00000000000000..b4c3880cf03684
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_skr1125_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_skr1125 XlmRoBertaForTokenClassification from skr1125
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_skr1125
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_skr1125` is a English model originally trained by skr1125.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_skr1125_en_5.5.0_3.0_1726896808286.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_skr1125_en_5.5.0_3.0_1726896808286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_skr1125|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/skr1125/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_skr1125_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_skr1125_pipeline_en.md
new file mode 100644
index 00000000000000..fc0e083feebb87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_skr1125_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_skr1125_pipeline pipeline XlmRoBertaForTokenClassification from skr1125
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_skr1125_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_skr1125_pipeline` is a English model originally trained by skr1125.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_skr1125_pipeline_en_5.5.0_3.0_1726896883077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_skr1125_pipeline_en_5.5.0_3.0_1726896883077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_skr1125_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_skr1125_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_skr1125_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/skr1125/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_ysige_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_ysige_en.md
new file mode 100644
index 00000000000000..c4610d9a74e6f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_ysige_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_ysige XlmRoBertaForTokenClassification from ysige
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_ysige
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_ysige` is a English model originally trained by ysige.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ysige_en_5.5.0_3.0_1726897268118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ysige_en_5.5.0_3.0_1726897268118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_ysige|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/ysige/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_ysige_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_ysige_pipeline_en.md
new file mode 100644
index 00000000000000..4ecb1d164edac4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_french_ysige_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_ysige_pipeline pipeline XlmRoBertaForTokenClassification from ysige
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_ysige_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_ysige_pipeline` is a English model originally trained by ysige.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ysige_pipeline_en_5.5.0_3.0_1726897343584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ysige_pipeline_en_5.5.0_3.0_1726897343584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_ysige_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_ysige_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_ysige_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/ysige/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_1_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_1_en.md
new file mode 100644
index 00000000000000..c580718a47d1c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_1 XlmRoBertaForTokenClassification from LeoTungAnh
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_1
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_1` is a English model originally trained by LeoTungAnh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_1_en_5.5.0_3.0_1726897416419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_1_en_5.5.0_3.0_1726897416419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/LeoTungAnh/xlm-roberta-base-finetuned-panx-de-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_1_pipeline_en.md
new file mode 100644
index 00000000000000..c2ed2fa6701969
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_1_pipeline pipeline XlmRoBertaForTokenClassification from LeoTungAnh
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_1_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_1_pipeline` is a English model originally trained by LeoTungAnh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_1_pipeline_en_5.5.0_3.0_1726897495849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_1_pipeline_en_5.5.0_3.0_1726897495849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/LeoTungAnh/xlm-roberta-base-finetuned-panx-de-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_alex423_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_alex423_en.md
new file mode 100644
index 00000000000000..a9af36790f982b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_alex423_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_alex423 XlmRoBertaForTokenClassification from Alex423
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_alex423
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_alex423` is a English model originally trained by Alex423.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_alex423_en_5.5.0_3.0_1726884065665.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_alex423_en_5.5.0_3.0_1726884065665.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_alex423|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/Alex423/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_alex423_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_alex423_pipeline_en.md
new file mode 100644
index 00000000000000..7ca7e62002221b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_alex423_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_alex423_pipeline pipeline XlmRoBertaForTokenClassification from Alex423
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_alex423_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_alex423_pipeline` is a English model originally trained by Alex423.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_alex423_pipeline_en_5.5.0_3.0_1726884130313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_alex423_pipeline_en_5.5.0_3.0_1726884130313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_alex423_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_alex423_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_alex423_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/Alex423/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_arashkhan58_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_arashkhan58_en.md
new file mode 100644
index 00000000000000..dd59eb399a457e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_arashkhan58_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_arashkhan58 XlmRoBertaForTokenClassification from arashkhan58
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_arashkhan58
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_arashkhan58` is a English model originally trained by arashkhan58.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_arashkhan58_en_5.5.0_3.0_1726897298104.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_arashkhan58_en_5.5.0_3.0_1726897298104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_arashkhan58|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/arashkhan58/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_arashkhan58_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_arashkhan58_pipeline_en.md
new file mode 100644
index 00000000000000..8ebbfdb53189b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_arashkhan58_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_arashkhan58_pipeline pipeline XlmRoBertaForTokenClassification from arashkhan58
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_arashkhan58_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_arashkhan58_pipeline` is a English model originally trained by arashkhan58.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_arashkhan58_pipeline_en_5.5.0_3.0_1726897362570.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_arashkhan58_pipeline_en_5.5.0_3.0_1726897362570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_arashkhan58_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_arashkhan58_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_arashkhan58_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/arashkhan58/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_aiekek_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_aiekek_en.md
new file mode 100644
index 00000000000000..3215eb4f832570
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_aiekek_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_aiekek XlmRoBertaForTokenClassification from AIEKEK
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_aiekek
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_aiekek` is a English model originally trained by AIEKEK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_aiekek_en_5.5.0_3.0_1726883790386.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_aiekek_en_5.5.0_3.0_1726883790386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_aiekek|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/AIEKEK/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_aiekek_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_aiekek_pipeline_en.md
new file mode 100644
index 00000000000000..06363b9dca3472
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_aiekek_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_aiekek_pipeline pipeline XlmRoBertaForTokenClassification from AIEKEK
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_aiekek_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_aiekek_pipeline` is a English model originally trained by AIEKEK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_aiekek_pipeline_en_5.5.0_3.0_1726883874508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_aiekek_pipeline_en_5.5.0_3.0_1726883874508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_aiekek_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_aiekek_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_aiekek_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/AIEKEK/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_hravi_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_hravi_en.md
new file mode 100644
index 00000000000000..f3384b5e124890
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_hravi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_hravi XlmRoBertaForTokenClassification from hravi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_hravi
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_hravi` is a English model originally trained by hravi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_hravi_en_5.5.0_3.0_1726897259026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_hravi_en_5.5.0_3.0_1726897259026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_hravi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/hravi/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_hravi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_hravi_pipeline_en.md
new file mode 100644
index 00000000000000..f768cd96e24e03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_hravi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_hravi_pipeline pipeline XlmRoBertaForTokenClassification from hravi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_hravi_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_hravi_pipeline` is a English model originally trained by hravi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_hravi_pipeline_en_5.5.0_3.0_1726897340869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_hravi_pipeline_en_5.5.0_3.0_1726897340869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_hravi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_hravi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_hravi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/hravi/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_en.md
new file mode 100644
index 00000000000000..b4307325f62c86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya XlmRoBertaForTokenClassification from neel-jotaniya
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya` is a English model originally trained by neel-jotaniya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_en_5.5.0_3.0_1726883472789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_en_5.5.0_3.0_1726883472789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/neel-jotaniya/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_pipeline_en.md
new file mode 100644
index 00000000000000..01cb4ae154c75c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_pipeline pipeline XlmRoBertaForTokenClassification from neel-jotaniya
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_pipeline` is a English model originally trained by neel-jotaniya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_pipeline_en_5.5.0_3.0_1726883556635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_pipeline_en_5.5.0_3.0_1726883556635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_neel_jotaniya_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/neel-jotaniya/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_nhung_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_nhung_en.md
new file mode 100644
index 00000000000000..fedaede861e4b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_nhung_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_nhung XlmRoBertaForTokenClassification from nhung
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_nhung
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_nhung` is a English model originally trained by nhung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_nhung_en_5.5.0_3.0_1726883343522.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_nhung_en_5.5.0_3.0_1726883343522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_nhung|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.6 MB|
+
+## References
+
+https://huggingface.co/nhung/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_nhung_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_nhung_pipeline_en.md
new file mode 100644
index 00000000000000..182b67e238ae1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_french_nhung_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_nhung_pipeline pipeline XlmRoBertaForTokenClassification from nhung
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_nhung_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_nhung_pipeline` is a English model originally trained by nhung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_nhung_pipeline_en_5.5.0_3.0_1726883412774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_nhung_pipeline_en_5.5.0_3.0_1726883412774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_nhung_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_nhung_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_nhung_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.6 MB|
+
+## References
+
+https://huggingface.co/nhung/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_marko_vasic_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_marko_vasic_en.md
new file mode 100644
index 00000000000000..da3b8025969851
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_marko_vasic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_marko_vasic XlmRoBertaForTokenClassification from marko-vasic
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_marko_vasic
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_marko_vasic` is a English model originally trained by marko-vasic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_marko_vasic_en_5.5.0_3.0_1726883911058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_marko_vasic_en_5.5.0_3.0_1726883911058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_marko_vasic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/marko-vasic/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_parksanha_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_parksanha_en.md
new file mode 100644
index 00000000000000..57f72bd53fbe68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_parksanha_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_parksanha XlmRoBertaForTokenClassification from parksanha
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_parksanha
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_parksanha` is a English model originally trained by parksanha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_parksanha_en_5.5.0_3.0_1726896609697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_parksanha_en_5.5.0_3.0_1726896609697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_parksanha|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/parksanha/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_parksanha_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_parksanha_pipeline_en.md
new file mode 100644
index 00000000000000..d9430e828872e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_parksanha_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_parksanha_pipeline pipeline XlmRoBertaForTokenClassification from parksanha
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_parksanha_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_parksanha_pipeline` is a English model originally trained by parksanha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_parksanha_pipeline_en_5.5.0_3.0_1726896693644.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_parksanha_pipeline_en_5.5.0_3.0_1726896693644.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_parksanha_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_parksanha_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_parksanha_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/parksanha/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_vietnguyen1989_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_vietnguyen1989_pipeline_en.md
new file mode 100644
index 00000000000000..3a67f0741eb9c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_german_vietnguyen1989_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_vietnguyen1989_pipeline pipeline XlmRoBertaForTokenClassification from vietnguyen1989
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_vietnguyen1989_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_vietnguyen1989_pipeline` is a English model originally trained by vietnguyen1989.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_vietnguyen1989_pipeline_en_5.5.0_3.0_1726897166487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_vietnguyen1989_pipeline_en_5.5.0_3.0_1726897166487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_vietnguyen1989_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_vietnguyen1989_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_vietnguyen1989_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/vietnguyen1989/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_hindi_5_epochs_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_hindi_5_epochs_en.md
new file mode 100644
index 00000000000000..21c14e24ce5f27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_hindi_5_epochs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_hindi_5_epochs XlmRoBertaForTokenClassification from DeepaPeri
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_hindi_5_epochs
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_hindi_5_epochs` is a English model originally trained by DeepaPeri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_hindi_5_epochs_en_5.5.0_3.0_1726896855933.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_hindi_5_epochs_en_5.5.0_3.0_1726896855933.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_hindi_5_epochs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|824.7 MB|
+
+## References
+
+https://huggingface.co/DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_hindi_5_epochs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_hindi_5_epochs_pipeline_en.md
new file mode 100644
index 00000000000000..a614a9c0f885e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_hindi_5_epochs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_hindi_5_epochs_pipeline pipeline XlmRoBertaForTokenClassification from DeepaPeri
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_hindi_5_epochs_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_hindi_5_epochs_pipeline` is a English model originally trained by DeepaPeri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_hindi_5_epochs_pipeline_en_5.5.0_3.0_1726896939361.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_hindi_5_epochs_pipeline_en_5.5.0_3.0_1726896939361.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_hindi_5_epochs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_hindi_5_epochs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_hindi_5_epochs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|824.8 MB|
+
+## References
+
+https://huggingface.co/DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_italian_abdelkareem_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_italian_abdelkareem_en.md
new file mode 100644
index 00000000000000..517ae1e9dbb3f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_italian_abdelkareem_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_abdelkareem XlmRoBertaForTokenClassification from Abdelkareem
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_abdelkareem
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_abdelkareem` is a English model originally trained by Abdelkareem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_abdelkareem_en_5.5.0_3.0_1726883938062.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_abdelkareem_en_5.5.0_3.0_1726883938062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_abdelkareem|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|816.7 MB|
+
+## References
+
+https://huggingface.co/Abdelkareem/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_italian_abdelkareem_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_italian_abdelkareem_pipeline_en.md
new file mode 100644
index 00000000000000..3c89a0bddfb3a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_italian_abdelkareem_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_abdelkareem_pipeline pipeline XlmRoBertaForTokenClassification from Abdelkareem
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_abdelkareem_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_abdelkareem_pipeline` is a English model originally trained by Abdelkareem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_abdelkareem_pipeline_en_5.5.0_3.0_1726884034127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_abdelkareem_pipeline_en_5.5.0_3.0_1726884034127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_abdelkareem_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_abdelkareem_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_abdelkareem_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|816.8 MB|
+
+## References
+
+https://huggingface.co/Abdelkareem/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_italian_heerak_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_italian_heerak_en.md
new file mode 100644
index 00000000000000..9d1eda142749c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_italian_heerak_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_heerak XlmRoBertaForTokenClassification from Heerak
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_heerak
+date: 2024-09-21
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_heerak` is a English model originally trained by Heerak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_heerak_en_5.5.0_3.0_1726883291846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_heerak_en_5.5.0_3.0_1726883291846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_heerak|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|828.6 MB|
+
+## References
+
+https://huggingface.co/Heerak/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_italian_heerak_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_italian_heerak_pipeline_en.md
new file mode 100644
index 00000000000000..37a16890e90d75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_finetuned_panx_italian_heerak_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_heerak_pipeline pipeline XlmRoBertaForTokenClassification from Heerak
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_heerak_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_heerak_pipeline` is a English model originally trained by Heerak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_heerak_pipeline_en_5.5.0_3.0_1726883376459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_heerak_pipeline_en_5.5.0_3.0_1726883376459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_heerak_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_heerak_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_heerak_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|828.6 MB|
+
+## References
+
+https://huggingface.co/Heerak/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_lr5e_06_seed42_basic_eng_train_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_lr5e_06_seed42_basic_eng_train_en.md
new file mode 100644
index 00000000000000..0e0a8f62599951
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_lr5e_06_seed42_basic_eng_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_lr5e_06_seed42_basic_eng_train XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr5e_06_seed42_basic_eng_train
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr5e_06_seed42_basic_eng_train` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr5e_06_seed42_basic_eng_train_en_5.5.0_3.0_1726932938300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr5e_06_seed42_basic_eng_train_en_5.5.0_3.0_1726932938300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr5e_06_seed42_basic_eng_train|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|790.9 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr5e-06_seed42_basic_eng_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_lr5e_06_seed42_basic_eng_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_lr5e_06_seed42_basic_eng_train_pipeline_en.md
new file mode 100644
index 00000000000000..0c98f80472c649
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_lr5e_06_seed42_basic_eng_train_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_lr5e_06_seed42_basic_eng_train_pipeline pipeline XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr5e_06_seed42_basic_eng_train_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr5e_06_seed42_basic_eng_train_pipeline` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr5e_06_seed42_basic_eng_train_pipeline_en_5.5.0_3.0_1726933069506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr5e_06_seed42_basic_eng_train_pipeline_en_5.5.0_3.0_1726933069506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_lr5e_06_seed42_basic_eng_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_lr5e_06_seed42_basic_eng_train_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr5e_06_seed42_basic_eng_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|790.9 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr5e-06_seed42_basic_eng_train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_sst2_100_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_sst2_100_en.md
new file mode 100644
index 00000000000000..e10803b370f879
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_sst2_100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_sst2_100 XlmRoBertaForSequenceClassification from tmnam20
+author: John Snow Labs
+name: xlm_roberta_base_sst2_100
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_sst2_100` is a English model originally trained by tmnam20.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_sst2_100_en_5.5.0_3.0_1726933380533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_sst2_100_en_5.5.0_3.0_1726933380533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_sst2_100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|779.4 MB|
+
+## References
+
+https://huggingface.co/tmnam20/xlm-roberta-base-sst2-100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_trimmed_english_30000_xnli_english_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_trimmed_english_30000_xnli_english_en.md
new file mode 100644
index 00000000000000..6f8e51cad8dc51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_trimmed_english_30000_xnli_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_english_30000_xnli_english XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_english_30000_xnli_english
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_english_30000_xnli_english` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_english_30000_xnli_english_en_5.5.0_3.0_1726917949372.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_english_30000_xnli_english_en_5.5.0_3.0_1726917949372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_english_30000_xnli_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-en-30000-xnli-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_trimmed_english_30000_xnli_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_trimmed_english_30000_xnli_english_pipeline_en.md
new file mode 100644
index 00000000000000..0f271d7e17f5a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_trimmed_english_30000_xnli_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_trimmed_english_30000_xnli_english_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_trimmed_english_30000_xnli_english_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_trimmed_english_30000_xnli_english_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_english_30000_xnli_english_pipeline_en_5.5.0_3.0_1726917970616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_trimmed_english_30000_xnli_english_pipeline_en_5.5.0_3.0_1726917970616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_trimmed_english_30000_xnli_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_trimmed_english_30000_xnli_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_trimmed_english_30000_xnli_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-en-30000-xnli-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_en.md
new file mode 100644
index 00000000000000..a0008d08e11428
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_arabic_trimmed_arabic_10000 XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_arabic_trimmed_arabic_10000
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_arabic_trimmed_arabic_10000` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_en_5.5.0_3.0_1726918880726.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_en_5.5.0_3.0_1726918880726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_arabic_trimmed_arabic_10000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|352.6 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-ar-trimmed-ar-10000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_pipeline_en.md
new file mode 100644
index 00000000000000..6d0b453b3c1d0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_pipeline_en_5.5.0_3.0_1726918897880.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_pipeline_en_5.5.0_3.0_1726918897880.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_arabic_trimmed_arabic_10000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|352.6 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-ar-trimmed-ar-10000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_en.md
new file mode 100644
index 00000000000000..b3231a281a7fd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_arabic_trimmed_arabic_15000 XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_arabic_trimmed_arabic_15000
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_arabic_trimmed_arabic_15000` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_en_5.5.0_3.0_1726919005302.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_en_5.5.0_3.0_1726919005302.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_arabic_trimmed_arabic_15000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|364.7 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-ar-trimmed-ar-15000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_pipeline_en.md
new file mode 100644
index 00000000000000..fc3a863ecef395
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_pipeline_en_5.5.0_3.0_1726919023452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_pipeline_en_5.5.0_3.0_1726919023452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_arabic_trimmed_arabic_15000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|364.7 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-ar-trimmed-ar-15000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_targin_final_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_targin_final_en.md
new file mode 100644
index 00000000000000..1e6b931789ef4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_roberta_targin_final_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_targin_final XlmRoBertaForSequenceClassification from SiddharthaM
+author: John Snow Labs
+name: xlm_roberta_targin_final
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_targin_final` is a English model originally trained by SiddharthaM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_targin_final_en_5.5.0_3.0_1726932543962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_targin_final_en_5.5.0_3.0_1726932543962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_targin_final|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|802.9 MB|
+
+## References
+
+https://huggingface.co/SiddharthaM/xlm-roberta-targin-final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlm_v_base_trimmed_arabic_xnli_arabic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlm_v_base_trimmed_arabic_xnli_arabic_pipeline_en.md
new file mode 100644
index 00000000000000..656c27171cb01d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlm_v_base_trimmed_arabic_xnli_arabic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_v_base_trimmed_arabic_xnli_arabic_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_v_base_trimmed_arabic_xnli_arabic_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_v_base_trimmed_arabic_xnli_arabic_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_v_base_trimmed_arabic_xnli_arabic_pipeline_en_5.5.0_3.0_1726933151960.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_v_base_trimmed_arabic_xnli_arabic_pipeline_en_5.5.0_3.0_1726933151960.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_v_base_trimmed_arabic_xnli_arabic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_v_base_trimmed_arabic_xnli_arabic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_v_base_trimmed_arabic_xnli_arabic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|530.8 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-v-base-trimmed-ar-xnli-ar
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlmr_english_chinese_all_shuffled_2020_test1000_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlmr_english_chinese_all_shuffled_2020_test1000_en.md
new file mode 100644
index 00000000000000..7203bb574519b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlmr_english_chinese_all_shuffled_2020_test1000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_english_chinese_all_shuffled_2020_test1000 XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_english_chinese_all_shuffled_2020_test1000
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_english_chinese_all_shuffled_2020_test1000` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_english_chinese_all_shuffled_2020_test1000_en_5.5.0_3.0_1726932748232.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_english_chinese_all_shuffled_2020_test1000_en_5.5.0_3.0_1726932748232.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_english_chinese_all_shuffled_2020_test1000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|826.9 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-en-zh-all_shuffled-2020-test1000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-xlmr_english_chinese_all_shuffled_2020_test1000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-xlmr_english_chinese_all_shuffled_2020_test1000_pipeline_en.md
new file mode 100644
index 00000000000000..c14c2d731c4860
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-xlmr_english_chinese_all_shuffled_2020_test1000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlmr_english_chinese_all_shuffled_2020_test1000_pipeline pipeline XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_english_chinese_all_shuffled_2020_test1000_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_english_chinese_all_shuffled_2020_test1000_pipeline` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_english_chinese_all_shuffled_2020_test1000_pipeline_en_5.5.0_3.0_1726932859860.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_english_chinese_all_shuffled_2020_test1000_pipeline_en_5.5.0_3.0_1726932859860.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmr_english_chinese_all_shuffled_2020_test1000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmr_english_chinese_all_shuffled_2020_test1000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_english_chinese_all_shuffled_2020_test1000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.9 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-en-zh-all_shuffled-2020-test1000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-zeli_category_en.md b/docs/_posts/ahmedlone127/2024-09-21-zeli_category_en.md
new file mode 100644
index 00000000000000..1dbcf7b2dc7bf2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-zeli_category_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English zeli_category DistilBertForSequenceClassification from laxman-zelibot
+author: John Snow Labs
+name: zeli_category
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`zeli_category` is a English model originally trained by laxman-zelibot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/zeli_category_en_5.5.0_3.0_1726884588829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/zeli_category_en_5.5.0_3.0_1726884588829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|zeli_category|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/laxman-zelibot/zeli-category
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-zero_shot_learning_en.md b/docs/_posts/ahmedlone127/2024-09-21-zero_shot_learning_en.md
new file mode 100644
index 00000000000000..9809fdca4c7054
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-zero_shot_learning_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English zero_shot_learning XlmRoBertaForSequenceClassification from cemilcelik
+author: John Snow Labs
+name: zero_shot_learning
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`zero_shot_learning` is a English model originally trained by cemilcelik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/zero_shot_learning_en_5.5.0_3.0_1726918960438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/zero_shot_learning_en_5.5.0_3.0_1726918960438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|zero_shot_learning|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|812.8 MB|
+
+## References
+
+https://huggingface.co/cemilcelik/Zero-shot-learning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-zero_shot_learning_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-zero_shot_learning_pipeline_en.md
new file mode 100644
index 00000000000000..c99479540b0461
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-zero_shot_learning_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English zero_shot_learning_pipeline pipeline XlmRoBertaForSequenceClassification from cemilcelik
+author: John Snow Labs
+name: zero_shot_learning_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`zero_shot_learning_pipeline` is a English model originally trained by cemilcelik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/zero_shot_learning_pipeline_en_5.5.0_3.0_1726919088349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/zero_shot_learning_pipeline_en_5.5.0_3.0_1726919088349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("zero_shot_learning_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("zero_shot_learning_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|zero_shot_learning_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|812.8 MB|
+
+## References
+
+https://huggingface.co/cemilcelik/Zero-shot-learning
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-20ng_raw_roberta_1e_en.md b/docs/_posts/ahmedlone127/2024-09-22-20ng_raw_roberta_1e_en.md
new file mode 100644
index 00000000000000..e273651eb93b0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-20ng_raw_roberta_1e_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 20ng_raw_roberta_1e RoBertaForSequenceClassification from pig4431
+author: John Snow Labs
+name: 20ng_raw_roberta_1e
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`20ng_raw_roberta_1e` is a English model originally trained by pig4431.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/20ng_raw_roberta_1e_en_5.5.0_3.0_1726971595453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/20ng_raw_roberta_1e_en_5.5.0_3.0_1726971595453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|20ng_raw_roberta_1e|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|460.8 MB|
+
+## References
+
+https://huggingface.co/pig4431/20NG_raw_roBERTa_1E
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-20ng_raw_roberta_1e_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-20ng_raw_roberta_1e_pipeline_en.md
new file mode 100644
index 00000000000000..d7d250b4e05a49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-20ng_raw_roberta_1e_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 20ng_raw_roberta_1e_pipeline pipeline RoBertaForSequenceClassification from pig4431
+author: John Snow Labs
+name: 20ng_raw_roberta_1e_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`20ng_raw_roberta_1e_pipeline` is a English model originally trained by pig4431.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/20ng_raw_roberta_1e_pipeline_en_5.5.0_3.0_1726971619330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/20ng_raw_roberta_1e_pipeline_en_5.5.0_3.0_1726971619330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("20ng_raw_roberta_1e_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("20ng_raw_roberta_1e_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|20ng_raw_roberta_1e_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|460.8 MB|
+
+## References
+
+https://huggingface.co/pig4431/20NG_raw_roBERTa_1E
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-adl_hw1_qa_model_en.md b/docs/_posts/ahmedlone127/2024-09-22-adl_hw1_qa_model_en.md
new file mode 100644
index 00000000000000..3d7d5dbc65a6d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-adl_hw1_qa_model_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English adl_hw1_qa_model DistilBertForQuestionAnswering from b09501048
+author: John Snow Labs
+name: adl_hw1_qa_model
+date: 2024-09-22
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adl_hw1_qa_model` is a English model originally trained by b09501048.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adl_hw1_qa_model_en_5.5.0_3.0_1726963533278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adl_hw1_qa_model_en_5.5.0_3.0_1726963533278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adl_hw1_qa_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/b09501048/adl_hw1_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-adl_hw1_qa_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-adl_hw1_qa_model_pipeline_en.md
new file mode 100644
index 00000000000000..86df5199715472
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-adl_hw1_qa_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English adl_hw1_qa_model_pipeline pipeline DistilBertForQuestionAnswering from b09501048
+author: John Snow Labs
+name: adl_hw1_qa_model_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adl_hw1_qa_model_pipeline` is a English model originally trained by b09501048.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adl_hw1_qa_model_pipeline_en_5.5.0_3.0_1726963555273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adl_hw1_qa_model_pipeline_en_5.5.0_3.0_1726963555273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("adl_hw1_qa_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("adl_hw1_qa_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adl_hw1_qa_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/b09501048/adl_hw1_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-adrv2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-adrv2_pipeline_en.md
new file mode 100644
index 00000000000000..d2d39395fb09bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-adrv2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English adrv2_pipeline pipeline RoBertaForSequenceClassification from bqr5tf
+author: John Snow Labs
+name: adrv2_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adrv2_pipeline` is a English model originally trained by bqr5tf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adrv2_pipeline_en_5.5.0_3.0_1726971864356.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adrv2_pipeline_en_5.5.0_3.0_1726971864356.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("adrv2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("adrv2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adrv2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/bqr5tf/ADRv2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-adv_ssm_hw1_fullpara_fulldata_1726281318_en.md b/docs/_posts/ahmedlone127/2024-09-22-adv_ssm_hw1_fullpara_fulldata_1726281318_en.md
new file mode 100644
index 00000000000000..905be4db568773
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-adv_ssm_hw1_fullpara_fulldata_1726281318_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English adv_ssm_hw1_fullpara_fulldata_1726281318 RoBertaForSequenceClassification from pristinawang
+author: John Snow Labs
+name: adv_ssm_hw1_fullpara_fulldata_1726281318
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adv_ssm_hw1_fullpara_fulldata_1726281318` is a English model originally trained by pristinawang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adv_ssm_hw1_fullpara_fulldata_1726281318_en_5.5.0_3.0_1726967299647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adv_ssm_hw1_fullpara_fulldata_1726281318_en_5.5.0_3.0_1726967299647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adv_ssm_hw1_fullpara_fulldata_1726281318|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.8 MB|
+
+## References
+
+https://huggingface.co/pristinawang/adv-ssm-hw1-fullPara-fullData-1726281318
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-adv_ssm_hw1_fullpara_fulldata_1726281318_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-adv_ssm_hw1_fullpara_fulldata_1726281318_pipeline_en.md
new file mode 100644
index 00000000000000..bb03a1d8f07774
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-adv_ssm_hw1_fullpara_fulldata_1726281318_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English adv_ssm_hw1_fullpara_fulldata_1726281318_pipeline pipeline RoBertaForSequenceClassification from pristinawang
+author: John Snow Labs
+name: adv_ssm_hw1_fullpara_fulldata_1726281318_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adv_ssm_hw1_fullpara_fulldata_1726281318_pipeline` is a English model originally trained by pristinawang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adv_ssm_hw1_fullpara_fulldata_1726281318_pipeline_en_5.5.0_3.0_1726967331226.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adv_ssm_hw1_fullpara_fulldata_1726281318_pipeline_en_5.5.0_3.0_1726967331226.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("adv_ssm_hw1_fullpara_fulldata_1726281318_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("adv_ssm_hw1_fullpara_fulldata_1726281318_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adv_ssm_hw1_fullpara_fulldata_1726281318_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.9 MB|
+
+## References
+
+https://huggingface.co/pristinawang/adv-ssm-hw1-fullPara-fullData-1726281318
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-akai_flow_classifier_kmai_dev_test_bot_en.md b/docs/_posts/ahmedlone127/2024-09-22-akai_flow_classifier_kmai_dev_test_bot_en.md
new file mode 100644
index 00000000000000..a00f992a6b5ebf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-akai_flow_classifier_kmai_dev_test_bot_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English akai_flow_classifier_kmai_dev_test_bot BertForSequenceClassification from GautamR
+author: John Snow Labs
+name: akai_flow_classifier_kmai_dev_test_bot
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`akai_flow_classifier_kmai_dev_test_bot` is a English model originally trained by GautamR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/akai_flow_classifier_kmai_dev_test_bot_en_5.5.0_3.0_1727007410438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/akai_flow_classifier_kmai_dev_test_bot_en_5.5.0_3.0_1727007410438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|akai_flow_classifier_kmai_dev_test_bot|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/GautamR/akai_flow_classifier_kmai_dev_test_bot
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-amazon_review_sentiment_analysis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-amazon_review_sentiment_analysis_pipeline_en.md
new file mode 100644
index 00000000000000..9264672fe9cf32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-amazon_review_sentiment_analysis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English amazon_review_sentiment_analysis_pipeline pipeline DistilBertForSequenceClassification from Mekteck
+author: John Snow Labs
+name: amazon_review_sentiment_analysis_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_review_sentiment_analysis_pipeline` is a English model originally trained by Mekteck.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_review_sentiment_analysis_pipeline_en_5.5.0_3.0_1726980335068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_review_sentiment_analysis_pipeline_en_5.5.0_3.0_1726980335068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("amazon_review_sentiment_analysis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("amazon_review_sentiment_analysis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_review_sentiment_analysis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mekteck/amazon-review-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-amt_classifier_roberta_large_en.md b/docs/_posts/ahmedlone127/2024-09-22-amt_classifier_roberta_large_en.md
new file mode 100644
index 00000000000000..87d1a4a66dc3b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-amt_classifier_roberta_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English amt_classifier_roberta_large RoBertaForSequenceClassification from hallisky
+author: John Snow Labs
+name: amt_classifier_roberta_large
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amt_classifier_roberta_large` is a English model originally trained by hallisky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amt_classifier_roberta_large_en_5.5.0_3.0_1726967782516.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amt_classifier_roberta_large_en_5.5.0_3.0_1726967782516.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amt_classifier_roberta_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/hallisky/amt-classifier-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-amt_classifier_roberta_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-amt_classifier_roberta_large_pipeline_en.md
new file mode 100644
index 00000000000000..88bd207df87026
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-amt_classifier_roberta_large_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English amt_classifier_roberta_large_pipeline pipeline RoBertaForSequenceClassification from hallisky
+author: John Snow Labs
+name: amt_classifier_roberta_large_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amt_classifier_roberta_large_pipeline` is a English model originally trained by hallisky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amt_classifier_roberta_large_pipeline_en_5.5.0_3.0_1726967862340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amt_classifier_roberta_large_pipeline_en_5.5.0_3.0_1726967862340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("amt_classifier_roberta_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("amt_classifier_roberta_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amt_classifier_roberta_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/hallisky/amt-classifier-roberta-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-araroberta_jo_ar.md b/docs/_posts/ahmedlone127/2024-09-22-araroberta_jo_ar.md
new file mode 100644
index 00000000000000..4a0f60760f9b9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-araroberta_jo_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic araroberta_jo RoBertaEmbeddings from reemalyami
+author: John Snow Labs
+name: araroberta_jo
+date: 2024-09-22
+tags: [ar, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`araroberta_jo` is a Arabic model originally trained by reemalyami.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/araroberta_jo_ar_5.5.0_3.0_1726999512821.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/araroberta_jo_ar_5.5.0_3.0_1726999512821.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|araroberta_jo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|ar|
+|Size:|470.6 MB|
+
+## References
+
+https://huggingface.co/reemalyami/AraRoBERTa-JO
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-authdetect_test_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-authdetect_test_pipeline_en.md
new file mode 100644
index 00000000000000..b92d7267d23049
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-authdetect_test_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English authdetect_test_pipeline pipeline RoBertaForSequenceClassification from mmochtak
+author: John Snow Labs
+name: authdetect_test_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`authdetect_test_pipeline` is a English model originally trained by mmochtak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/authdetect_test_pipeline_en_5.5.0_3.0_1726967672763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/authdetect_test_pipeline_en_5.5.0_3.0_1726967672763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("authdetect_test_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("authdetect_test_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|authdetect_test_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|459.6 MB|
+
+## References
+
+https://huggingface.co/mmochtak/authdetect_test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-autonlp_bp_29016523_en.md b/docs/_posts/ahmedlone127/2024-09-22-autonlp_bp_29016523_en.md
new file mode 100644
index 00000000000000..6baa64f3209e21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-autonlp_bp_29016523_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autonlp_bp_29016523 BertForSequenceClassification from JushBJJ
+author: John Snow Labs
+name: autonlp_bp_29016523
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autonlp_bp_29016523` is a English model originally trained by JushBJJ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autonlp_bp_29016523_en_5.5.0_3.0_1727007933086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autonlp_bp_29016523_en_5.5.0_3.0_1727007933086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autonlp_bp_29016523|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/JushBJJ/autonlp-bp-29016523
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-b706f448_b1e7_4383_912d_79006b0f7393_en.md b/docs/_posts/ahmedlone127/2024-09-22-b706f448_b1e7_4383_912d_79006b0f7393_en.md
new file mode 100644
index 00000000000000..dfed2e09c00287
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-b706f448_b1e7_4383_912d_79006b0f7393_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English b706f448_b1e7_4383_912d_79006b0f7393 RoBertaForSequenceClassification from IDQO
+author: John Snow Labs
+name: b706f448_b1e7_4383_912d_79006b0f7393
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`b706f448_b1e7_4383_912d_79006b0f7393` is a English model originally trained by IDQO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/b706f448_b1e7_4383_912d_79006b0f7393_en_5.5.0_3.0_1726971982863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/b706f448_b1e7_4383_912d_79006b0f7393_en_5.5.0_3.0_1726971982863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|b706f448_b1e7_4383_912d_79006b0f7393|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|437.9 MB|
+
+## References
+
+https://huggingface.co/IDQO/b706f448-b1e7-4383-912d-79006b0f7393
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-b706f448_b1e7_4383_912d_79006b0f7393_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-b706f448_b1e7_4383_912d_79006b0f7393_pipeline_en.md
new file mode 100644
index 00000000000000..62388aeb1e7878
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-b706f448_b1e7_4383_912d_79006b0f7393_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English b706f448_b1e7_4383_912d_79006b0f7393_pipeline pipeline RoBertaForSequenceClassification from IDQO
+author: John Snow Labs
+name: b706f448_b1e7_4383_912d_79006b0f7393_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`b706f448_b1e7_4383_912d_79006b0f7393_pipeline` is a English model originally trained by IDQO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/b706f448_b1e7_4383_912d_79006b0f7393_pipeline_en_5.5.0_3.0_1726972004243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/b706f448_b1e7_4383_912d_79006b0f7393_pipeline_en_5.5.0_3.0_1726972004243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("b706f448_b1e7_4383_912d_79006b0f7393_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("b706f448_b1e7_4383_912d_79006b0f7393_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|b706f448_b1e7_4383_912d_79006b0f7393_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.0 MB|
+
+## References
+
+https://huggingface.co/IDQO/b706f448-b1e7-4383-912d-79006b0f7393
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bae_roberta_base_rte_5_en.md b/docs/_posts/ahmedlone127/2024-09-22-bae_roberta_base_rte_5_en.md
new file mode 100644
index 00000000000000..1e48e958f26619
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bae_roberta_base_rte_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bae_roberta_base_rte_5 RoBertaForSequenceClassification from korca
+author: John Snow Labs
+name: bae_roberta_base_rte_5
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bae_roberta_base_rte_5` is a English model originally trained by korca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bae_roberta_base_rte_5_en_5.5.0_3.0_1726971796925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bae_roberta_base_rte_5_en_5.5.0_3.0_1726971796925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bae_roberta_base_rte_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.9 MB|
+
+## References
+
+https://huggingface.co/korca/bae-roberta-base-rte-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bae_roberta_base_rte_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bae_roberta_base_rte_5_pipeline_en.md
new file mode 100644
index 00000000000000..effe1eb06f0e94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bae_roberta_base_rte_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bae_roberta_base_rte_5_pipeline pipeline RoBertaForSequenceClassification from korca
+author: John Snow Labs
+name: bae_roberta_base_rte_5_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bae_roberta_base_rte_5_pipeline` is a English model originally trained by korca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bae_roberta_base_rte_5_pipeline_en_5.5.0_3.0_1726971822147.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bae_roberta_base_rte_5_pipeline_en_5.5.0_3.0_1726971822147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bae_roberta_base_rte_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bae_roberta_base_rte_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bae_roberta_base_rte_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|448.0 MB|
+
+## References
+
+https://huggingface.co/korca/bae-roberta-base-rte-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_finetuned_emotion_ncduy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_finetuned_emotion_ncduy_pipeline_en.md
new file mode 100644
index 00000000000000..ee3d2fec1b7e6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_finetuned_emotion_ncduy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_emotion_ncduy_pipeline pipeline BertForSequenceClassification from ncduy
+author: John Snow Labs
+name: bert_base_cased_finetuned_emotion_ncduy_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_emotion_ncduy_pipeline` is a English model originally trained by ncduy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_emotion_ncduy_pipeline_en_5.5.0_3.0_1727007733497.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_emotion_ncduy_pipeline_en_5.5.0_3.0_1727007733497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_finetuned_emotion_ncduy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_finetuned_emotion_ncduy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_emotion_ncduy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/ncduy/bert-base-cased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_finetuned_runaways_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_finetuned_runaways_en.md
new file mode 100644
index 00000000000000..79650bcb964bc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_finetuned_runaways_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_runaways BertForQuestionAnswering from Nadav
+author: John Snow Labs
+name: bert_base_cased_finetuned_runaways
+date: 2024-09-22
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_runaways` is a English model originally trained by Nadav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_runaways_en_5.5.0_3.0_1726991667225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_runaways_en_5.5.0_3.0_1726991667225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_runaways|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Nadav/bert-base-cased-finetuned-runaways
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_imdb_sequence_classification_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_imdb_sequence_classification_en.md
new file mode 100644
index 00000000000000..7134c420042e18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_imdb_sequence_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_imdb_sequence_classification BertForSequenceClassification from ykacer
+author: John Snow Labs
+name: bert_base_cased_imdb_sequence_classification
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_imdb_sequence_classification` is a English model originally trained by ykacer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_imdb_sequence_classification_en_5.5.0_3.0_1726988461475.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_imdb_sequence_classification_en_5.5.0_3.0_1726988461475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_imdb_sequence_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/ykacer/bert-base-cased-imdb-sequence-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_imdb_sequence_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_imdb_sequence_classification_pipeline_en.md
new file mode 100644
index 00000000000000..4793fcf370c4ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_imdb_sequence_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_imdb_sequence_classification_pipeline pipeline BertForSequenceClassification from ykacer
+author: John Snow Labs
+name: bert_base_cased_imdb_sequence_classification_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_imdb_sequence_classification_pipeline` is a English model originally trained by ykacer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_imdb_sequence_classification_pipeline_en_5.5.0_3.0_1726988479532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_imdb_sequence_classification_pipeline_en_5.5.0_3.0_1726988479532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_imdb_sequence_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_imdb_sequence_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_imdb_sequence_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/ykacer/bert-base-cased-imdb-sequence-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_plane_ood_2_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_plane_ood_2_en.md
new file mode 100644
index 00000000000000..d3156fb191b2d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_cased_plane_ood_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_plane_ood_2 BertForSequenceClassification from lorenzoscottb
+author: John Snow Labs
+name: bert_base_cased_plane_ood_2
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_plane_ood_2` is a English model originally trained by lorenzoscottb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_plane_ood_2_en_5.5.0_3.0_1726991247597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_plane_ood_2_en_5.5.0_3.0_1726991247597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_cased_finetuned_squadbn|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/AsifAbrar6/bert-base-multilingual-cased-finetuned-squadBN
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_clinical_ner_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_clinical_ner_en.md
new file mode 100644
index 00000000000000..8ff9fc78a2a629
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_clinical_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_clinical_ner BertForTokenClassification from sschet
+author: John Snow Labs
+name: bert_base_uncased_clinical_ner
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_clinical_ner` is a English model originally trained by sschet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_clinical_ner_en_5.5.0_3.0_1726974764669.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_clinical_ner_en_5.5.0_3.0_1726974764669.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_clinical_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/sschet/bert-base-uncased_clinical-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_clinical_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_clinical_ner_pipeline_en.md
new file mode 100644
index 00000000000000..cf88c1c29951dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_clinical_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_clinical_ner_pipeline pipeline BertForTokenClassification from sschet
+author: John Snow Labs
+name: bert_base_uncased_clinical_ner_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_clinical_ner_pipeline` is a English model originally trained by sschet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_clinical_ner_pipeline_en_5.5.0_3.0_1726974783488.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_clinical_ner_pipeline_en_5.5.0_3.0_1726974783488.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_clinical_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_clinical_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_clinical_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/sschet/bert-base-uncased_clinical-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_coqa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_coqa_pipeline_en.md
new file mode 100644
index 00000000000000..3e73e09a01c571
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_coqa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_coqa_pipeline pipeline BertForQuestionAnswering from rooftopcoder
+author: John Snow Labs
+name: bert_base_uncased_coqa_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_coqa_pipeline` is a English model originally trained by rooftopcoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_coqa_pipeline_en_5.5.0_3.0_1726991838445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_coqa_pipeline_en_5.5.0_3.0_1726991838445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_coqa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_coqa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_coqa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/rooftopcoder/bert-base-uncased-coqa
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_ep_1_56_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_ep_1_56_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en.md
new file mode 100644
index 00000000000000..b3310bdcc6d2a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_ep_1_56_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_ep_1_56_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_1_56_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0
+date: 2024-09-22
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_1_56_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_56_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en_5.5.0_3.0_1726991711867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_56_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_en_5.5.0_3.0_1726991711867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_2_2_b_32_lr_1_2e_06_dp_0_3_swati_500_southern_sotho_false_fh_true_hs_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-2.2-b-32-lr-1.2e-06-dp-0.3-ss-500-st-False-fh-True-hs-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_0_8_lr_1e_06_wd_0_001_dp_0_99999_swati_20000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_0_8_lr_1e_06_wd_0_001_dp_0_99999_swati_20000_pipeline_en.md
new file mode 100644
index 00000000000000..7b61ab36b6976a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_0_8_lr_1e_06_wd_0_001_dp_0_99999_swati_20000_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_0_8_lr_1e_06_wd_0_001_dp_0_99999_swati_20000_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_0_8_lr_1e_06_wd_0_001_dp_0_99999_swati_20000_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_0_8_lr_1e_06_wd_0_001_dp_0_99999_swati_20000_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_0_8_lr_1e_06_wd_0_001_dp_0_99999_swati_20000_pipeline_en_5.5.0_3.0_1726992083748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_0_8_lr_1e_06_wd_0_001_dp_0_99999_swati_20000_pipeline_en_5.5.0_3.0_1726992083748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_0_8_lr_1e_06_wd_0_001_dp_0_99999_swati_20000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_0_8_lr_1e_06_wd_0_001_dp_0_99999_swati_20000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_0_8_lr_1e_06_wd_0_001_dp_0_99999_swati_20000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-0.8-lr-1e-06-wd-0.001-dp-0.99999-ss-20000
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_en.md
new file mode 100644
index 00000000000000..b1beed2b861767
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300
+date: 2024-09-22
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_en_5.5.0_3.0_1726992444278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300_en_5.5.0_3.0_1726992444278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_99999_swati_300|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-1.0-lr-1e-05-wd-0.001-dp-0.99999-ss-300
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_0_lr_9e_07_wd_0_001_dp_0_999_swati_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_0_lr_9e_07_wd_0_001_dp_0_999_swati_0_pipeline_en.md
new file mode 100644
index 00000000000000..726c12bb61594b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_0_lr_9e_07_wd_0_001_dp_0_999_swati_0_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_1_0_lr_9e_07_wd_0_001_dp_0_999_swati_0_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_1_0_lr_9e_07_wd_0_001_dp_0_999_swati_0_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_1_0_lr_9e_07_wd_0_001_dp_0_999_swati_0_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_9e_07_wd_0_001_dp_0_999_swati_0_pipeline_en_5.5.0_3.0_1726992353795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_9e_07_wd_0_001_dp_0_999_swati_0_pipeline_en_5.5.0_3.0_1726992353795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_0_lr_9e_07_wd_0_001_dp_0_999_swati_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_0_lr_9e_07_wd_0_001_dp_0_999_swati_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_1_0_lr_9e_07_wd_0_001_dp_0_999_swati_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-1.0-lr-9e-07-wd-0.001-dp-0.999-ss-0
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_1_lr_1e_06_wd_0_001_dp_0_99999_swati_70000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_1_lr_1e_06_wd_0_001_dp_0_99999_swati_70000_pipeline_en.md
new file mode 100644
index 00000000000000..720bdc8b31ce03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_1_lr_1e_06_wd_0_001_dp_0_99999_swati_70000_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_1_1_lr_1e_06_wd_0_001_dp_0_99999_swati_70000_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_1_1_lr_1e_06_wd_0_001_dp_0_99999_swati_70000_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_1_1_lr_1e_06_wd_0_001_dp_0_99999_swati_70000_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_1_lr_1e_06_wd_0_001_dp_0_99999_swati_70000_pipeline_en_5.5.0_3.0_1726991718141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_1_lr_1e_06_wd_0_001_dp_0_99999_swati_70000_pipeline_en_5.5.0_3.0_1726991718141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_1_lr_1e_06_wd_0_001_dp_0_99999_swati_70000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_1_lr_1e_06_wd_0_001_dp_0_99999_swati_70000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_1_1_lr_1e_06_wd_0_001_dp_0_99999_swati_70000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-1.1-lr-1e-06-wd-0.001-dp-0.99999-ss-70000
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_29_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_300_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_29_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_300_en.md
new file mode 100644
index 00000000000000..8d439badf1cf9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetune_squad_ep_1_29_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_300_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_1_29_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_300 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_1_29_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_300
+date: 2024-09-22
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_1_29_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_300` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_29_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_300_en_5.5.0_3.0_1726991667410.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_29_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_300_en_5.5.0_3.0_1726991667410.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_1_29_lr_4e_07_wd_1e_05_dp_0_3_swati_0_southern_sotho_false_fh_false_hs_300|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-1.29-lr-4e-07-wd-1e-05-dp-0.3-ss-0-st-False-fh-False-hs-300
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetuned_cola_ardaaras99_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetuned_cola_ardaaras99_pipeline_en.md
new file mode 100644
index 00000000000000..8691f1a9f80a30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_finetuned_cola_ardaaras99_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_ardaaras99_pipeline pipeline BertForSequenceClassification from ardaaras99
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_ardaaras99_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_ardaaras99_pipeline` is a English model originally trained by ardaaras99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_ardaaras99_pipeline_en_5.5.0_3.0_1726991005636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_ardaaras99_pipeline_en_5.5.0_3.0_1726991005636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_ardaaras99_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_ardaaras99_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_ardaaras99_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ardaaras99/bert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_swag_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_swag_en.md
new file mode 100644
index 00000000000000..b31b33c899701c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_finetuned_swag_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_finetuned_swag BertForQuestionAnswering from ashaduzzaman
+author: John Snow Labs
+name: bert_finetuned_swag
+date: 2024-09-22
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_swag` is a English model originally trained by ashaduzzaman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_swag_en_5.5.0_3.0_1726992351186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_swag_en_5.5.0_3.0_1726992351186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_swag|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ashaduzzaman/bert-finetuned-swag
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_large_uncased_wikistance_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_large_uncased_wikistance_v1_pipeline_en.md
new file mode 100644
index 00000000000000..edce96cf4bb5f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_large_uncased_wikistance_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_uncased_wikistance_v1_pipeline pipeline BertForSequenceClassification from research-dump
+author: John Snow Labs
+name: bert_large_uncased_wikistance_v1_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_wikistance_v1_pipeline` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_wikistance_v1_pipeline_en_5.5.0_3.0_1726989281961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_wikistance_v1_pipeline_en_5.5.0_3.0_1726989281961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_wikistance_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_wikistance_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_wikistance_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/research-dump/bert-large-uncased_wikistance_v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bigbio_mtl_en.md b/docs/_posts/ahmedlone127/2024-09-22-bigbio_mtl_en.md
new file mode 100644
index 00000000000000..732b132c37d988
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bigbio_mtl_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bigbio_mtl BertForTokenClassification from bigbio
+author: John Snow Labs
+name: bigbio_mtl
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bigbio_mtl` is a English model originally trained by bigbio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bigbio_mtl_en_5.5.0_3.0_1726974987920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bigbio_mtl_en_5.5.0_3.0_1726974987920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bigbio_mtl|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/bigbio/bigbio-mtl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bigbio_mtl_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bigbio_mtl_pipeline_en.md
new file mode 100644
index 00000000000000..fce8efd0644a2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bigbio_mtl_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bigbio_mtl_pipeline pipeline BertForTokenClassification from bigbio
+author: John Snow Labs
+name: bigbio_mtl_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bigbio_mtl_pipeline` is a English model originally trained by bigbio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bigbio_mtl_pipeline_en_5.5.0_3.0_1726975006060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bigbio_mtl_pipeline_en_5.5.0_3.0_1726975006060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bigbio_mtl_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bigbio_mtl_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bigbio_mtl_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/bigbio/bigbio-mtl
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bodo_roberta_base_sentencepiece_mlm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bodo_roberta_base_sentencepiece_mlm_pipeline_en.md
new file mode 100644
index 00000000000000..19b62a51b79176
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bodo_roberta_base_sentencepiece_mlm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bodo_roberta_base_sentencepiece_mlm_pipeline pipeline RoBertaEmbeddings from alayaran
+author: John Snow Labs
+name: bodo_roberta_base_sentencepiece_mlm_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bodo_roberta_base_sentencepiece_mlm_pipeline` is a English model originally trained by alayaran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bodo_roberta_base_sentencepiece_mlm_pipeline_en_5.5.0_3.0_1726999924419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bodo_roberta_base_sentencepiece_mlm_pipeline_en_5.5.0_3.0_1726999924419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bodo_roberta_base_sentencepiece_mlm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bodo_roberta_base_sentencepiece_mlm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bodo_roberta_base_sentencepiece_mlm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/alayaran/bodo-roberta-base-sentencepiece-mlm
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_eli5_mlm_model_ashdev01_en.md b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_eli5_mlm_model_ashdev01_en.md
new file mode 100644
index 00000000000000..1d5ec3d7572868
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_eli5_mlm_model_ashdev01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_ashdev01 RoBertaEmbeddings from ashdev01
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_ashdev01
+date: 2024-09-22
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_ashdev01` is a English model originally trained by ashdev01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_ashdev01_en_5.5.0_3.0_1726999766178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_ashdev01_en_5.5.0_3.0_1726999766178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_ashdev01|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.4 MB|
+
+## References
+
+https://huggingface.co/ashdev01/my_awesome_eli5_mlm_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_eli5_mlm_model_ashdev01_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_eli5_mlm_model_ashdev01_pipeline_en.md
new file mode 100644
index 00000000000000..cadaad1651d3be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_eli5_mlm_model_ashdev01_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_ashdev01_pipeline pipeline RoBertaEmbeddings from ashdev01
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_ashdev01_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_ashdev01_pipeline` is a English model originally trained by ashdev01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_ashdev01_pipeline_en_5.5.0_3.0_1726999780012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_ashdev01_pipeline_en_5.5.0_3.0_1726999780012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_eli5_mlm_model_ashdev01_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_ashdev01_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_ashdev01_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.4 MB|
+
+## References
+
+https://huggingface.co/ashdev01/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_eli5_mlm_model_jesslimzhiqi_en.md b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_eli5_mlm_model_jesslimzhiqi_en.md
new file mode 100644
index 00000000000000..ec4b4e6bdf6cc8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_eli5_mlm_model_jesslimzhiqi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_jesslimzhiqi RoBertaEmbeddings from JESSLIMZHIQI
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_jesslimzhiqi
+date: 2024-09-22
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_jesslimzhiqi` is a English model originally trained by JESSLIMZHIQI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_jesslimzhiqi_en_5.5.0_3.0_1726999858489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_jesslimzhiqi_en_5.5.0_3.0_1726999858489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_jesslimzhiqi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/JESSLIMZHIQI/my_awesome_eli5_mlm_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_eli5_mlm_model_jesslimzhiqi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_eli5_mlm_model_jesslimzhiqi_pipeline_en.md
new file mode 100644
index 00000000000000..7335014be4ec37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_eli5_mlm_model_jesslimzhiqi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_jesslimzhiqi_pipeline pipeline RoBertaEmbeddings from JESSLIMZHIQI
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_jesslimzhiqi_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_eli5_mlm_model_jesslimzhiqi_pipeline` is a English model originally trained by JESSLIMZHIQI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_jesslimzhiqi_pipeline_en_5.5.0_3.0_1726999872140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_jesslimzhiqi_pipeline_en_5.5.0_3.0_1726999872140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_eli5_mlm_model_jesslimzhiqi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_jesslimzhiqi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_jesslimzhiqi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/JESSLIMZHIQI/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_copa_en.md b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_copa_en.md
new file mode 100644
index 00000000000000..240dc3009598ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_copa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_copa RoBertaForSequenceClassification from TheoLepere
+author: John Snow Labs
+name: burmese_awesome_model_copa
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_copa` is a English model originally trained by TheoLepere.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_copa_en_5.5.0_3.0_1726967503269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_copa_en_5.5.0_3.0_1726967503269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_copa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|427.0 MB|
+
+## References
+
+https://huggingface.co/TheoLepere/my_awesome_model_copa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_copa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_copa_pipeline_en.md
new file mode 100644
index 00000000000000..8ec5652ef1b236
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_copa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_copa_pipeline pipeline RoBertaForSequenceClassification from TheoLepere
+author: John Snow Labs
+name: burmese_awesome_model_copa_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_copa_pipeline` is a English model originally trained by TheoLepere.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_copa_pipeline_en_5.5.0_3.0_1726967529105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_copa_pipeline_en_5.5.0_3.0_1726967529105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_copa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_copa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_copa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|427.0 MB|
+
+## References
+
+https://huggingface.co/TheoLepere/my_awesome_model_copa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_qa_model_hellfox17_en.md b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_qa_model_hellfox17_en.md
new file mode 100644
index 00000000000000..fc942a654149db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_qa_model_hellfox17_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_hellfox17 DistilBertForQuestionAnswering from Hellfox17
+author: John Snow Labs
+name: burmese_awesome_qa_model_hellfox17
+date: 2024-09-22
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_hellfox17` is a English model originally trained by Hellfox17.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_hellfox17_en_5.5.0_3.0_1726963741909.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_hellfox17_en_5.5.0_3.0_1726963741909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_hellfox17|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Hellfox17/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-cat_ner_iwcg_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-cat_ner_iwcg_5_pipeline_en.md
new file mode 100644
index 00000000000000..b8d78058cd9d9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-cat_ner_iwcg_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cat_ner_iwcg_5_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_ner_iwcg_5_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cat_ner_iwcg_5_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_ner_iwcg_5_pipeline_en_5.5.0_3.0_1726970054170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_ner_iwcg_5_pipeline_en_5.5.0_3.0_1726970054170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cat_ner_iwcg_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cat_ner_iwcg_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_ner_iwcg_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|430.9 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-ner-iwcg-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-cat_sayula_popoluca_iwcg_5_en.md b/docs/_posts/ahmedlone127/2024-09-22-cat_sayula_popoluca_iwcg_5_en.md
new file mode 100644
index 00000000000000..fd37140a26b179
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-cat_sayula_popoluca_iwcg_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cat_sayula_popoluca_iwcg_5 XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_sayula_popoluca_iwcg_5
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cat_sayula_popoluca_iwcg_5` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_iwcg_5_en_5.5.0_3.0_1726970130136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_iwcg_5_en_5.5.0_3.0_1726970130136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_sayula_popoluca_iwcg_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|432.1 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-pos-iwcg-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-cat_sayula_popoluca_iwcg_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-cat_sayula_popoluca_iwcg_5_pipeline_en.md
new file mode 100644
index 00000000000000..b61a4fa6dfa61f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-cat_sayula_popoluca_iwcg_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cat_sayula_popoluca_iwcg_5_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_sayula_popoluca_iwcg_5_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cat_sayula_popoluca_iwcg_5_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_iwcg_5_pipeline_en_5.5.0_3.0_1726970158239.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_iwcg_5_pipeline_en_5.5.0_3.0_1726970158239.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cat_sayula_popoluca_iwcg_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cat_sayula_popoluca_iwcg_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_sayula_popoluca_iwcg_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|432.1 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-pos-iwcg-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-cer_model_iiii_en.md b/docs/_posts/ahmedlone127/2024-09-22-cer_model_iiii_en.md
new file mode 100644
index 00000000000000..6140f86011ff67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-cer_model_iiii_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cer_model_iiii BertForTokenClassification from urbija
+author: John Snow Labs
+name: cer_model_iiii
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cer_model_iiii` is a English model originally trained by urbija.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cer_model_iiii_en_5.5.0_3.0_1726974471856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cer_model_iiii_en_5.5.0_3.0_1726974471856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cer_model_iiii|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.3 MB|
+
+## References
+
+https://huggingface.co/urbija/cer_model-iiii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-cer_model_iiii_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-cer_model_iiii_pipeline_en.md
new file mode 100644
index 00000000000000..302345412e6024
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-cer_model_iiii_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cer_model_iiii_pipeline pipeline BertForTokenClassification from urbija
+author: John Snow Labs
+name: cer_model_iiii_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cer_model_iiii_pipeline` is a English model originally trained by urbija.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cer_model_iiii_pipeline_en_5.5.0_3.0_1726974489573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cer_model_iiii_pipeline_en_5.5.0_3.0_1726974489573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cer_model_iiii_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cer_model_iiii_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cer_model_iiii_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.3 MB|
+
+## References
+
+https://huggingface.co/urbija/cer_model-iiii
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-chatgpt_essay_llms_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-chatgpt_essay_llms_pipeline_en.md
new file mode 100644
index 00000000000000..d8f108a2cb4dbc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-chatgpt_essay_llms_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English chatgpt_essay_llms_pipeline pipeline DistilBertForSequenceClassification from huyen89
+author: John Snow Labs
+name: chatgpt_essay_llms_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chatgpt_essay_llms_pipeline` is a English model originally trained by huyen89.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chatgpt_essay_llms_pipeline_en_5.5.0_3.0_1726980705031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chatgpt_essay_llms_pipeline_en_5.5.0_3.0_1726980705031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("chatgpt_essay_llms_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("chatgpt_essay_llms_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chatgpt_essay_llms_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/huyen89/ChatGPT-Essay_LLMs
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-coderbert_finetuned_detect_vulnerability_on_msr_en.md b/docs/_posts/ahmedlone127/2024-09-22-coderbert_finetuned_detect_vulnerability_on_msr_en.md
new file mode 100644
index 00000000000000..d13627331f8f44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-coderbert_finetuned_detect_vulnerability_on_msr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English coderbert_finetuned_detect_vulnerability_on_msr RoBertaForSequenceClassification from starmage520
+author: John Snow Labs
+name: coderbert_finetuned_detect_vulnerability_on_msr
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`coderbert_finetuned_detect_vulnerability_on_msr` is a English model originally trained by starmage520.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/coderbert_finetuned_detect_vulnerability_on_msr_en_5.5.0_3.0_1726967388275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/coderbert_finetuned_detect_vulnerability_on_msr_en_5.5.0_3.0_1726967388275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coderbert_finetuned_detect_vulnerability_on_msr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/starmage520/Coderbert_finetuned_detect_vulnerability_on_MSR
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-coderbert_finetuned_detect_vulnerability_on_msr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-coderbert_finetuned_detect_vulnerability_on_msr_pipeline_en.md
new file mode 100644
index 00000000000000..ee47c00f604de6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-coderbert_finetuned_detect_vulnerability_on_msr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English coderbert_finetuned_detect_vulnerability_on_msr_pipeline pipeline RoBertaForSequenceClassification from starmage520
+author: John Snow Labs
+name: coderbert_finetuned_detect_vulnerability_on_msr_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`coderbert_finetuned_detect_vulnerability_on_msr_pipeline` is a English model originally trained by starmage520.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/coderbert_finetuned_detect_vulnerability_on_msr_pipeline_en_5.5.0_3.0_1726967409571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/coderbert_finetuned_detect_vulnerability_on_msr_pipeline_en_5.5.0_3.0_1726967409571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("coderbert_finetuned_detect_vulnerability_on_msr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("coderbert_finetuned_detect_vulnerability_on_msr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coderbert_finetuned_detect_vulnerability_on_msr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/starmage520/Coderbert_finetuned_detect_vulnerability_on_MSR
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-coha1940s_en.md b/docs/_posts/ahmedlone127/2024-09-22-coha1940s_en.md
new file mode 100644
index 00000000000000..ff72b220a4a78b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-coha1940s_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English coha1940s RoBertaEmbeddings from simonmun
+author: John Snow Labs
+name: coha1940s
+date: 2024-09-22
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`coha1940s` is a English model originally trained by simonmun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/coha1940s_en_5.5.0_3.0_1726999704388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/coha1940s_en_5.5.0_3.0_1726999704388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coha1940s|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|311.8 MB|
+
+## References
+
+https://huggingface.co/simonmun/COHA1940s
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-cold_fusion_itr2_seed4_en.md b/docs/_posts/ahmedlone127/2024-09-22-cold_fusion_itr2_seed4_en.md
new file mode 100644
index 00000000000000..478c5c915030b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-cold_fusion_itr2_seed4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_itr2_seed4 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr2_seed4
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr2_seed4` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr2_seed4_en_5.5.0_3.0_1726967628751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr2_seed4_en_5.5.0_3.0_1726967628751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr2_seed4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.8 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr2-seed4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-covid_19_vaccination_tweet_stance_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-covid_19_vaccination_tweet_stance_pipeline_en.md
new file mode 100644
index 00000000000000..802df926d3ec4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-covid_19_vaccination_tweet_stance_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English covid_19_vaccination_tweet_stance_pipeline pipeline BertForSequenceClassification from seantw
+author: John Snow Labs
+name: covid_19_vaccination_tweet_stance_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_19_vaccination_tweet_stance_pipeline` is a English model originally trained by seantw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_19_vaccination_tweet_stance_pipeline_en_5.5.0_3.0_1727007320055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_19_vaccination_tweet_stance_pipeline_en_5.5.0_3.0_1727007320055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("covid_19_vaccination_tweet_stance_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("covid_19_vaccination_tweet_stance_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_19_vaccination_tweet_stance_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/seantw/covid-19-vaccination-tweet-stance
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-cross_encoder_roberta_wwm_ext_v2_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-22-cross_encoder_roberta_wwm_ext_v2_pipeline_zh.md
new file mode 100644
index 00000000000000..aed07da37ded6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-cross_encoder_roberta_wwm_ext_v2_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese cross_encoder_roberta_wwm_ext_v2_pipeline pipeline BertForSequenceClassification from tuhailong
+author: John Snow Labs
+name: cross_encoder_roberta_wwm_ext_v2_pipeline
+date: 2024-09-22
+tags: [zh, open_source, pipeline, onnx]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cross_encoder_roberta_wwm_ext_v2_pipeline` is a Chinese model originally trained by tuhailong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_encoder_roberta_wwm_ext_v2_pipeline_zh_5.5.0_3.0_1726988827784.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_encoder_roberta_wwm_ext_v2_pipeline_zh_5.5.0_3.0_1726988827784.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cross_encoder_roberta_wwm_ext_v2_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cross_encoder_roberta_wwm_ext_v2_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_encoder_roberta_wwm_ext_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|383.2 MB|
+
+## References
+
+https://huggingface.co/tuhailong/cross_encoder_roberta-wwm-ext_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-darkstar_bert_ome1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-darkstar_bert_ome1_pipeline_en.md
new file mode 100644
index 00000000000000..ce1d033f0a863b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-darkstar_bert_ome1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English darkstar_bert_ome1_pipeline pipeline BertForSequenceClassification from Schmitz005
+author: John Snow Labs
+name: darkstar_bert_ome1_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`darkstar_bert_ome1_pipeline` is a English model originally trained by Schmitz005.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/darkstar_bert_ome1_pipeline_en_5.5.0_3.0_1726990825320.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/darkstar_bert_ome1_pipeline_en_5.5.0_3.0_1726990825320.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("darkstar_bert_ome1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("darkstar_bert_ome1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|darkstar_bert_ome1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Schmitz005/Darkstar-Bert-ome1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-deeppolicytracker_500k_en.md b/docs/_posts/ahmedlone127/2024-09-22-deeppolicytracker_500k_en.md
new file mode 100644
index 00000000000000..90ef92a8fd7eaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-deeppolicytracker_500k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deeppolicytracker_500k RoBertaEmbeddings from flavio-nakasato
+author: John Snow Labs
+name: deeppolicytracker_500k
+date: 2024-09-22
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deeppolicytracker_500k` is a English model originally trained by flavio-nakasato.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deeppolicytracker_500k_en_5.5.0_3.0_1726999677211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deeppolicytracker_500k_en_5.5.0_3.0_1726999677211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deeppolicytracker_500k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|305.8 MB|
+
+## References
+
+https://huggingface.co/flavio-nakasato/deeppolicytracker_500k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-deeppolicytracker_500k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-deeppolicytracker_500k_pipeline_en.md
new file mode 100644
index 00000000000000..9386806f62c7e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-deeppolicytracker_500k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deeppolicytracker_500k_pipeline pipeline RoBertaEmbeddings from flavio-nakasato
+author: John Snow Labs
+name: deeppolicytracker_500k_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deeppolicytracker_500k_pipeline` is a English model originally trained by flavio-nakasato.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deeppolicytracker_500k_pipeline_en_5.5.0_3.0_1726999692110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deeppolicytracker_500k_pipeline_en_5.5.0_3.0_1726999692110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deeppolicytracker_500k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deeppolicytracker_500k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deeppolicytracker_500k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|305.8 MB|
+
+## References
+
+https://huggingface.co/flavio-nakasato/deeppolicytracker_500k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_kaebams_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_kaebams_en.md
new file mode 100644
index 00000000000000..1a646ab09c196a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_kaebams_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_kaebams DistilBertForSequenceClassification from kaebaMS
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_kaebams
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kaebams` is a English model originally trained by kaebaMS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kaebams_en_5.5.0_3.0_1726980110407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kaebams_en_5.5.0_3.0_1726980110407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_kaebams|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kaebaMS/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_souling_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_souling_en.md
new file mode 100644
index 00000000000000..cce134d34ff926
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotion_souling_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_souling DistilBertForSequenceClassification from souling
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_souling
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_souling` is a English model originally trained by souling.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_souling_en_5.5.0_3.0_1726980716990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_souling_en_5.5.0_3.0_1726980716990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_souling|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/souling/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotions_riukix_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotions_riukix_en.md
new file mode 100644
index 00000000000000..2f570e236b669f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_emotions_riukix_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotions_riukix DistilBertForSequenceClassification from Riukix
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotions_riukix
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_riukix` is a English model originally trained by Riukix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_riukix_en_5.5.0_3.0_1726980229438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_riukix_en_5.5.0_3.0_1726980229438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotions_riukix|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Riukix/distilbert-base-uncased-finetuned-emotions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_linasaba_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_linasaba_pipeline_en.md
new file mode 100644
index 00000000000000..efd1fa893cdbc6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_linasaba_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_linasaba_pipeline pipeline BertForSequenceClassification from LinaSaba
+author: John Snow Labs
+name: distilbert_base_uncased_linasaba_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_linasaba_pipeline` is a English model originally trained by LinaSaba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_linasaba_pipeline_en_5.5.0_3.0_1727007552846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_linasaba_pipeline_en_5.5.0_3.0_1727007552846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_linasaba_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_linasaba_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_linasaba_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/LinaSaba/distilbert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean100_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean100_en.md
new file mode 100644
index 00000000000000..b8ea872740fd78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean100 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean100
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean100` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean100_en_5.5.0_3.0_1726979997426.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean100_en_5.5.0_3.0_1726979997426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1largepfxnf_simsp300_clean100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st16sd_ut72ut1largePfxNf_simsp300_clean100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge_simsp100_clean300_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge_simsp100_clean300_en.md
new file mode 100644
index 00000000000000..965434465058bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge_simsp100_clean300_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge_simsp100_clean300 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge_simsp100_clean300
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge_simsp100_clean300` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge_simsp100_clean300_en_5.5.0_3.0_1726980472831.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge_simsp100_clean300_en_5.5.0_3.0_1726980472831.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st5sd_ut72ut5_plprefix0stlarge_simsp100_clean300|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st5sd_ut72ut5_PLPrefix0stlarge_simsp100_clean300
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_wnli_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_wnli_en.md
new file mode 100644
index 00000000000000..9d91f2d5adecff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_wnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_wnli DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_wnli
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_wnli` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_wnli_en_5.5.0_3.0_1726980639932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_wnli_en_5.5.0_3.0_1726980639932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distill_whisper_jargon_btemirov|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/btemirov/distill-whisper-jargon
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distill_whisper_jargon_btemirov_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distill_whisper_jargon_btemirov_pipeline_en.md
new file mode 100644
index 00000000000000..bea58f51dda7aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distill_whisper_jargon_btemirov_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distill_whisper_jargon_btemirov_pipeline pipeline WhisperForCTC from btemirov
+author: John Snow Labs
+name: distill_whisper_jargon_btemirov_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_whisper_jargon_btemirov_pipeline` is a English model originally trained by btemirov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_whisper_jargon_btemirov_pipeline_en_5.5.0_3.0_1726994275570.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_whisper_jargon_btemirov_pipeline_en_5.5.0_3.0_1726994275570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distill_whisper_jargon_btemirov_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distill_whisper_jargon_btemirov_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distill_whisper_jargon_btemirov_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/btemirov/distill-whisper-jargon
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilroberta_base_mrpc_glue_kevinvelez18_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilroberta_base_mrpc_glue_kevinvelez18_pipeline_en.md
new file mode 100644
index 00000000000000..ba2241fd278a33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilroberta_base_mrpc_glue_kevinvelez18_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_mrpc_glue_kevinvelez18_pipeline pipeline RoBertaForSequenceClassification from kevinvelez18
+author: John Snow Labs
+name: distilroberta_base_mrpc_glue_kevinvelez18_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_mrpc_glue_kevinvelez18_pipeline` is a English model originally trained by kevinvelez18.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_kevinvelez18_pipeline_en_5.5.0_3.0_1726967983954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_kevinvelez18_pipeline_en_5.5.0_3.0_1726967983954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_mrpc_glue_kevinvelez18_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_mrpc_glue_kevinvelez18_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_mrpc_glue_kevinvelez18_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/kevinvelez18/distilroberta-base-mrpc-glue
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilroberta_base_sst2_distilled_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilroberta_base_sst2_distilled_en.md
new file mode 100644
index 00000000000000..dd68954baa963e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilroberta_base_sst2_distilled_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_base_sst2_distilled RoBertaForSequenceClassification from aal2015
+author: John Snow Labs
+name: distilroberta_base_sst2_distilled
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_sst2_distilled` is a English model originally trained by aal2015.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_sst2_distilled_en_5.5.0_3.0_1726972131591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_sst2_distilled_en_5.5.0_3.0_1726972131591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_sst2_distilled|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/aal2015/distilroberta-base-sst2-distilled
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-dopamin_post_training_en.md b/docs/_posts/ahmedlone127/2024-09-22-dopamin_post_training_en.md
new file mode 100644
index 00000000000000..baae52ab720a53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-dopamin_post_training_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dopamin_post_training RoBertaForSequenceClassification from Fsoft-AIC
+author: John Snow Labs
+name: dopamin_post_training
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dopamin_post_training` is a English model originally trained by Fsoft-AIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dopamin_post_training_en_5.5.0_3.0_1726967737536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dopamin_post_training_en_5.5.0_3.0_1726967737536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dopamin_post_training|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Fsoft-AIC/dopamin-post-training
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-elatable_lp_en.md b/docs/_posts/ahmedlone127/2024-09-22-elatable_lp_en.md
new file mode 100644
index 00000000000000..0e7e273154ceae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-elatable_lp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English elatable_lp DistilBertForSequenceClassification from gaborcselle
+author: John Snow Labs
+name: elatable_lp
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`elatable_lp` is a English model originally trained by gaborcselle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/elatable_lp_en_5.5.0_3.0_1726980585585.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/elatable_lp_en_5.5.0_3.0_1726980585585.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|eq_bert_v1_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/RyotaroOKabe/eq_bert_v1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-final_model_mkbackup_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-final_model_mkbackup_pipeline_en.md
new file mode 100644
index 00000000000000..1915f0aee91d04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-final_model_mkbackup_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English final_model_mkbackup_pipeline pipeline WhisperForCTC from mkbackup
+author: John Snow Labs
+name: final_model_mkbackup_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`final_model_mkbackup_pipeline` is a English model originally trained by mkbackup.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/final_model_mkbackup_pipeline_en_5.5.0_3.0_1726985458502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/final_model_mkbackup_pipeline_en_5.5.0_3.0_1726985458502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("final_model_mkbackup_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("final_model_mkbackup_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|final_model_mkbackup_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/mkbackup/final_model
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-final_whisper_for_initial_publish_en.md b/docs/_posts/ahmedlone127/2024-09-22-final_whisper_for_initial_publish_en.md
new file mode 100644
index 00000000000000..b729c5845455de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-final_whisper_for_initial_publish_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English final_whisper_for_initial_publish WhisperForCTC from AsemBadr
+author: John Snow Labs
+name: final_whisper_for_initial_publish
+date: 2024-09-22
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`final_whisper_for_initial_publish` is a English model originally trained by AsemBadr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/final_whisper_for_initial_publish_en_5.5.0_3.0_1726986065765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/final_whisper_for_initial_publish_en_5.5.0_3.0_1726986065765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_bert_base_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Chessmen/fine_tune_bert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-fine_tune_bert_base_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-fine_tune_bert_base_cased_pipeline_en.md
new file mode 100644
index 00000000000000..884c8a8458d670
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-fine_tune_bert_base_cased_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fine_tune_bert_base_cased_pipeline pipeline BertForQuestionAnswering from Chessmen
+author: John Snow Labs
+name: fine_tune_bert_base_cased_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_bert_base_cased_pipeline` is a English model originally trained by Chessmen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_bert_base_cased_pipeline_en_5.5.0_3.0_1726991972125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_bert_base_cased_pipeline_en_5.5.0_3.0_1726991972125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tune_bert_base_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tune_bert_base_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_bert_base_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Chessmen/fine_tune_bert-base-cased
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-finetune_distilbert_sst_avalinguo_fluency_en.md b/docs/_posts/ahmedlone127/2024-09-22-finetune_distilbert_sst_avalinguo_fluency_en.md
new file mode 100644
index 00000000000000..ca781911b6f0be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-finetune_distilbert_sst_avalinguo_fluency_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetune_distilbert_sst_avalinguo_fluency DistilBertForSequenceClassification from papasega
+author: John Snow Labs
+name: finetune_distilbert_sst_avalinguo_fluency
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetune_distilbert_sst_avalinguo_fluency` is a English model originally trained by papasega.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetune_distilbert_sst_avalinguo_fluency_en_5.5.0_3.0_1726979997659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetune_distilbert_sst_avalinguo_fluency_en_5.5.0_3.0_1726979997659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetune_distilbert_sst_avalinguo_fluency|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/papasega/finetune_Distilbert_SST_Avalinguo_Fluency
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_11000_samples_en.md b/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_11000_samples_en.md
new file mode 100644
index 00000000000000..e96b1ce78d1fc1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_11000_samples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_11000_samples DistilBertForSequenceClassification from ZainabNac
+author: John Snow Labs
+name: finetuning_sentiment_model_11000_samples
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_11000_samples` is a English model originally trained by ZainabNac.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_11000_samples_en_5.5.0_3.0_1726980522450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_11000_samples_en_5.5.0_3.0_1726980522450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_11000_samples|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ZainabNac/finetuning-sentiment-model-11000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_3000_samples_liujiajiaee_en.md b/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_3000_samples_liujiajiaee_en.md
new file mode 100644
index 00000000000000..21ac8b2ea6b127
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_3000_samples_liujiajiaee_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_liujiajiaee DistilBertForSequenceClassification from liujiajiaee
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_liujiajiaee
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_liujiajiaee` is a English model originally trained by liujiajiaee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_liujiajiaee_en_5.5.0_3.0_1726980295891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_liujiajiaee_en_5.5.0_3.0_1726980295891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_liujiajiaee|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/liujiajiaee/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_3000_samples_lwhite_en.md b/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_3000_samples_lwhite_en.md
new file mode 100644
index 00000000000000..65b99b79a47e71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_3000_samples_lwhite_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_lwhite DistilBertForSequenceClassification from lwhite
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_lwhite
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_lwhite` is a English model originally trained by lwhite.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lwhite_en_5.5.0_3.0_1726980305501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_lwhite_en_5.5.0_3.0_1726980305501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|genztranscribe_base_hindi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|643.6 MB|
+
+## References
+
+https://huggingface.co/KshitizPandya/GenzTranscribe-base-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-hate_hate_balance_random0_seed1_twitter_roberta_base_2022_154m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-hate_hate_balance_random0_seed1_twitter_roberta_base_2022_154m_pipeline_en.md
new file mode 100644
index 00000000000000..33536110c9345e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-hate_hate_balance_random0_seed1_twitter_roberta_base_2022_154m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_hate_balance_random0_seed1_twitter_roberta_base_2022_154m_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_random0_seed1_twitter_roberta_base_2022_154m_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_random0_seed1_twitter_roberta_base_2022_154m_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random0_seed1_twitter_roberta_base_2022_154m_pipeline_en_5.5.0_3.0_1726972289185.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random0_seed1_twitter_roberta_base_2022_154m_pipeline_en_5.5.0_3.0_1726972289185.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_hate_balance_random0_seed1_twitter_roberta_base_2022_154m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_hate_balance_random0_seed1_twitter_roberta_base_2022_154m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_random0_seed1_twitter_roberta_base_2022_154m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_random0_seed1-twitter-roberta-base-2022-154m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-hin_trac1_fin_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-hin_trac1_fin_pipeline_en.md
new file mode 100644
index 00000000000000..1fb78c218565f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-hin_trac1_fin_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hin_trac1_fin_pipeline pipeline BertForSequenceClassification from Maha
+author: John Snow Labs
+name: hin_trac1_fin_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hin_trac1_fin_pipeline` is a English model originally trained by Maha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hin_trac1_fin_pipeline_en_5.5.0_3.0_1726988655446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hin_trac1_fin_pipeline_en_5.5.0_3.0_1726988655446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hin_trac1_fin_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hin_trac1_fin_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hin_trac1_fin_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/Maha/hin-trac1_fin
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-hp_search_deberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-hp_search_deberta_pipeline_en.md
new file mode 100644
index 00000000000000..301ded326761c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-hp_search_deberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hp_search_deberta_pipeline pipeline BertForTokenClassification from cynthiachan
+author: John Snow Labs
+name: hp_search_deberta_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hp_search_deberta_pipeline` is a English model originally trained by cynthiachan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hp_search_deberta_pipeline_en_5.5.0_3.0_1726977685632.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hp_search_deberta_pipeline_en_5.5.0_3.0_1726977685632.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hp_search_deberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hp_search_deberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hp_search_deberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.8 MB|
+
+## References
+
+https://huggingface.co/cynthiachan/hp-search-deberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-imdb2_en.md b/docs/_posts/ahmedlone127/2024-09-22-imdb2_en.md
new file mode 100644
index 00000000000000..905d1a67ca6814
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-imdb2_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English imdb2 DistilBertForSequenceClassification from Joestars
+author: John Snow Labs
+name: imdb2
+date: 2024-09-22
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb2` is a English model originally trained by Joestars.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb2_en_5.5.0_3.0_1726990825082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb2_en_5.5.0_3.0_1726990825082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+References
+
+https://huggingface.co/Joestars/imdb2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-imdb2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-imdb2_pipeline_en.md
new file mode 100644
index 00000000000000..3b21e5772c8c94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-imdb2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English imdb2_pipeline pipeline BertForSequenceClassification from Lumos
+author: John Snow Labs
+name: imdb2_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb2_pipeline` is a English model originally trained by Lumos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb2_pipeline_en_5.5.0_3.0_1726990845184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb2_pipeline_en_5.5.0_3.0_1726990845184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imdb2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imdb2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Lumos/imdb2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-it2_robertuito_d_en.md b/docs/_posts/ahmedlone127/2024-09-22-it2_robertuito_d_en.md
new file mode 100644
index 00000000000000..f9b9cf5854052a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-it2_robertuito_d_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English it2_robertuito_d RoBertaForSequenceClassification from PEzquerra
+author: John Snow Labs
+name: it2_robertuito_d
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`it2_robertuito_d` is a English model originally trained by PEzquerra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/it2_robertuito_d_en_5.5.0_3.0_1726971747568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/it2_robertuito_d_en_5.5.0_3.0_1726971747568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|it2_robertuito_d|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/PEzquerra/it2_robertuito_D
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-it2_robertuito_d_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-it2_robertuito_d_pipeline_en.md
new file mode 100644
index 00000000000000..6e7223bc94bdf0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-it2_robertuito_d_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English it2_robertuito_d_pipeline pipeline RoBertaForSequenceClassification from PEzquerra
+author: John Snow Labs
+name: it2_robertuito_d_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`it2_robertuito_d_pipeline` is a English model originally trained by PEzquerra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/it2_robertuito_d_pipeline_en_5.5.0_3.0_1726971769796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/it2_robertuito_d_pipeline_en_5.5.0_3.0_1726971769796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("it2_robertuito_d_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("it2_robertuito_d_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|it2_robertuito_d_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/PEzquerra/it2_robertuito_D
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-korscm_mbert_en.md b/docs/_posts/ahmedlone127/2024-09-22-korscm_mbert_en.md
new file mode 100644
index 00000000000000..9dcdbdef438a51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-korscm_mbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English korscm_mbert BertForSequenceClassification from DeadBeast
+author: John Snow Labs
+name: korscm_mbert
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`korscm_mbert` is a English model originally trained by DeadBeast.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/korscm_mbert_en_5.5.0_3.0_1726988644716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/korscm_mbert_en_5.5.0_3.0_1726988644716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|korscm_mbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/DeadBeast/korscm-mBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-llmhw01_chtsai2104_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-llmhw01_chtsai2104_pipeline_en.md
new file mode 100644
index 00000000000000..5ef999666d3493
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-llmhw01_chtsai2104_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English llmhw01_chtsai2104_pipeline pipeline DistilBertForSequenceClassification from chtsai2104
+author: John Snow Labs
+name: llmhw01_chtsai2104_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`llmhw01_chtsai2104_pipeline` is a English model originally trained by chtsai2104.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/llmhw01_chtsai2104_pipeline_en_5.5.0_3.0_1726980119550.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/llmhw01_chtsai2104_pipeline_en_5.5.0_3.0_1726980119550.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("llmhw01_chtsai2104_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("llmhw01_chtsai2104_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|llmhw01_chtsai2104_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chtsai2104/llmhw01
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-marathi_sentiment_movie_reviews_pipeline_mr.md b/docs/_posts/ahmedlone127/2024-09-22-marathi_sentiment_movie_reviews_pipeline_mr.md
new file mode 100644
index 00000000000000..40405d1e4b623a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-marathi_sentiment_movie_reviews_pipeline_mr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Marathi marathi_sentiment_movie_reviews_pipeline pipeline BertForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: marathi_sentiment_movie_reviews_pipeline
+date: 2024-09-22
+tags: [mr, open_source, pipeline, onnx]
+task: Text Classification
+language: mr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marathi_sentiment_movie_reviews_pipeline` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_sentiment_movie_reviews_pipeline_mr_5.5.0_3.0_1727007685674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_sentiment_movie_reviews_pipeline_mr_5.5.0_3.0_1727007685674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marathi_sentiment_movie_reviews_pipeline", lang = "mr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marathi_sentiment_movie_reviews_pipeline", lang = "mr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_sentiment_movie_reviews_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mr|
+|Size:|892.9 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-sentiment-movie-reviews
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-marathi_topic_all_doc_v2_mr.md b/docs/_posts/ahmedlone127/2024-09-22-marathi_topic_all_doc_v2_mr.md
new file mode 100644
index 00000000000000..8cdd0960510e0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-marathi_topic_all_doc_v2_mr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Marathi marathi_topic_all_doc_v2 BertForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: marathi_topic_all_doc_v2
+date: 2024-09-22
+tags: [mr, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: mr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marathi_topic_all_doc_v2` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_topic_all_doc_v2_mr_5.5.0_3.0_1726991085459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_topic_all_doc_v2_mr_5.5.0_3.0_1726991085459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_topic_all_doc_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|mr|
+|Size:|892.9 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-topic-all-doc-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-marathi_topic_all_doc_v2_pipeline_mr.md b/docs/_posts/ahmedlone127/2024-09-22-marathi_topic_all_doc_v2_pipeline_mr.md
new file mode 100644
index 00000000000000..fa8e56d6d4b9be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-marathi_topic_all_doc_v2_pipeline_mr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Marathi marathi_topic_all_doc_v2_pipeline pipeline BertForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: marathi_topic_all_doc_v2_pipeline
+date: 2024-09-22
+tags: [mr, open_source, pipeline, onnx]
+task: Text Classification
+language: mr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marathi_topic_all_doc_v2_pipeline` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_topic_all_doc_v2_pipeline_mr_5.5.0_3.0_1726991124414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_topic_all_doc_v2_pipeline_mr_5.5.0_3.0_1726991124414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marathi_topic_all_doc_v2_pipeline", lang = "mr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marathi_topic_all_doc_v2_pipeline", lang = "mr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_topic_all_doc_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mr|
+|Size:|892.9 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-topic-all-doc-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-memo_bert_wsd_danskbert_en.md b/docs/_posts/ahmedlone127/2024-09-22-memo_bert_wsd_danskbert_en.md
new file mode 100644
index 00000000000000..1ed9a8642e39f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-memo_bert_wsd_danskbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English memo_bert_wsd_danskbert XlmRoBertaForSequenceClassification from yemen2016
+author: John Snow Labs
+name: memo_bert_wsd_danskbert
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`memo_bert_wsd_danskbert` is a English model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/memo_bert_wsd_danskbert_en_5.5.0_3.0_1727009142736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/memo_bert_wsd_danskbert_en_5.5.0_3.0_1727009142736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|memo_bert_wsd_danskbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|427.5 MB|
+
+## References
+
+https://huggingface.co/yemen2016/MeMo_BERT-WSD-DanskBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-memo_bert_wsd_danskbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-memo_bert_wsd_danskbert_pipeline_en.md
new file mode 100644
index 00000000000000..62ab075adbb0d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-memo_bert_wsd_danskbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English memo_bert_wsd_danskbert_pipeline pipeline XlmRoBertaForSequenceClassification from yemen2016
+author: John Snow Labs
+name: memo_bert_wsd_danskbert_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`memo_bert_wsd_danskbert_pipeline` is a English model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/memo_bert_wsd_danskbert_pipeline_en_5.5.0_3.0_1727009177537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/memo_bert_wsd_danskbert_pipeline_en_5.5.0_3.0_1727009177537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("memo_bert_wsd_danskbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("memo_bert_wsd_danskbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|memo_bert_wsd_danskbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|427.5 MB|
+
+## References
+
+https://huggingface.co/yemen2016/MeMo_BERT-WSD-DanskBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-mentalroberta_empai_final2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-mentalroberta_empai_final2_pipeline_en.md
new file mode 100644
index 00000000000000..f5f7b6574954fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-mentalroberta_empai_final2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mentalroberta_empai_final2_pipeline pipeline RoBertaEmbeddings from LuangMV97
+author: John Snow Labs
+name: mentalroberta_empai_final2_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mentalroberta_empai_final2_pipeline` is a English model originally trained by LuangMV97.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mentalroberta_empai_final2_pipeline_en_5.5.0_3.0_1726999372370.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mentalroberta_empai_final2_pipeline_en_5.5.0_3.0_1726999372370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mentalroberta_empai_final2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mentalroberta_empai_final2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mentalroberta_empai_final2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/LuangMV97/MentalRoBERTa_EmpAI_final2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-nbme_roberta_large_en.md b/docs/_posts/ahmedlone127/2024-09-22-nbme_roberta_large_en.md
new file mode 100644
index 00000000000000..bb2aff96414830
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-nbme_roberta_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nbme_roberta_large RoBertaEmbeddings from smeoni
+author: John Snow Labs
+name: nbme_roberta_large
+date: 2024-09-22
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nbme_roberta_large` is a English model originally trained by smeoni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nbme_roberta_large_en_5.5.0_3.0_1726999421960.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nbme_roberta_large_en_5.5.0_3.0_1726999421960.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nbme_roberta_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/smeoni/nbme-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-nbme_roberta_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-nbme_roberta_large_pipeline_en.md
new file mode 100644
index 00000000000000..8e7fb654bed43b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-nbme_roberta_large_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nbme_roberta_large_pipeline pipeline RoBertaEmbeddings from smeoni
+author: John Snow Labs
+name: nbme_roberta_large_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nbme_roberta_large_pipeline` is a English model originally trained by smeoni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nbme_roberta_large_pipeline_en_5.5.0_3.0_1726999479308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nbme_roberta_large_pipeline_en_5.5.0_3.0_1726999479308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nbme_roberta_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nbme_roberta_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nbme_roberta_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/smeoni/nbme-roberta-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-ner_ner_random2_seed2_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-22-ner_ner_random2_seed2_bernice_en.md
new file mode 100644
index 00000000000000..30a42656563ab7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-ner_ner_random2_seed2_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_ner_random2_seed2_bernice XlmRoBertaForTokenClassification from tweettemposhift
+author: John Snow Labs
+name: ner_ner_random2_seed2_bernice
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_ner_random2_seed2_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_ner_random2_seed2_bernice_en_5.5.0_3.0_1726969888631.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_ner_random2_seed2_bernice_en_5.5.0_3.0_1726969888631.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_ner_random2_seed2_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|802.5 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/ner-ner_random2_seed2-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-ner_productname_en.md b/docs/_posts/ahmedlone127/2024-09-22-ner_productname_en.md
new file mode 100644
index 00000000000000..0fbc67c9e24724
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-ner_productname_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_productname BertForTokenClassification from sianbrumm
+author: John Snow Labs
+name: ner_productname
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_productname` is a English model originally trained by sianbrumm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_productname_en_5.5.0_3.0_1726966209567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_productname_en_5.5.0_3.0_1726966209567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_productname|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/sianbrumm/Ner_Productname
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-ner_productname_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-ner_productname_pipeline_en.md
new file mode 100644
index 00000000000000..3a91932acd20de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-ner_productname_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_productname_pipeline pipeline BertForTokenClassification from sianbrumm
+author: John Snow Labs
+name: ner_productname_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_productname_pipeline` is a English model originally trained by sianbrumm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_productname_pipeline_en_5.5.0_3.0_1726966228144.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_productname_pipeline_en_5.5.0_3.0_1726966228144.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_productname_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_productname_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_productname_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/sianbrumm/Ner_Productname
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-nli_roberta_base_finetuned_for_amazon_review_ratings_ninjabanana1_en.md b/docs/_posts/ahmedlone127/2024-09-22-nli_roberta_base_finetuned_for_amazon_review_ratings_ninjabanana1_en.md
new file mode 100644
index 00000000000000..a9d104b9b736bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-nli_roberta_base_finetuned_for_amazon_review_ratings_ninjabanana1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nli_roberta_base_finetuned_for_amazon_review_ratings_ninjabanana1 RoBertaForSequenceClassification from NinjaBanana1
+author: John Snow Labs
+name: nli_roberta_base_finetuned_for_amazon_review_ratings_ninjabanana1
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nli_roberta_base_finetuned_for_amazon_review_ratings_ninjabanana1` is a English model originally trained by NinjaBanana1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nli_roberta_base_finetuned_for_amazon_review_ratings_ninjabanana1_en_5.5.0_3.0_1726971998891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nli_roberta_base_finetuned_for_amazon_review_ratings_ninjabanana1_en_5.5.0_3.0_1726971998891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nli_roberta_base_finetuned_for_amazon_review_ratings_ninjabanana1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/NinjaBanana1/nli-roberta-base-finetuned-for-amazon-review-ratings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-nlp_hf_workshop2_en.md b/docs/_posts/ahmedlone127/2024-09-22-nlp_hf_workshop2_en.md
new file mode 100644
index 00000000000000..f81122cba08781
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-nlp_hf_workshop2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp_hf_workshop2 DistilBertForSequenceClassification from Bahareh0281
+author: John Snow Labs
+name: nlp_hf_workshop2
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_hf_workshop2` is a English model originally trained by Bahareh0281.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_hf_workshop2_en_5.5.0_3.0_1726980528174.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_hf_workshop2_en_5.5.0_3.0_1726980528174.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_hf_workshop2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/Bahareh0281/NLP_HF_Workshop2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-paludistilbertpartaugmentedoriginal_en.md b/docs/_posts/ahmedlone127/2024-09-22-paludistilbertpartaugmentedoriginal_en.md
new file mode 100644
index 00000000000000..7b431c1e84c706
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-paludistilbertpartaugmentedoriginal_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English paludistilbertpartaugmentedoriginal DistilBertForSequenceClassification from Palu001
+author: John Snow Labs
+name: paludistilbertpartaugmentedoriginal
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`paludistilbertpartaugmentedoriginal` is a English model originally trained by Palu001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/paludistilbertpartaugmentedoriginal_en_5.5.0_3.0_1726980224901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/paludistilbertpartaugmentedoriginal_en_5.5.0_3.0_1726980224901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|paludistilbertpartaugmentedoriginal|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Palu001/PaluDistilbertPartAugmentedOriginal
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-results_javierorjuela_en.md b/docs/_posts/ahmedlone127/2024-09-22-results_javierorjuela_en.md
new file mode 100644
index 00000000000000..b868c917d503ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-results_javierorjuela_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English results_javierorjuela DistilBertForSequenceClassification from javierorjuela
+author: John Snow Labs
+name: results_javierorjuela
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_javierorjuela` is a English model originally trained by javierorjuela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_javierorjuela_en_5.5.0_3.0_1726980181665.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_javierorjuela_en_5.5.0_3.0_1726980181665.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_javierorjuela|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/javierorjuela/results
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-results_javierorjuela_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-results_javierorjuela_pipeline_en.md
new file mode 100644
index 00000000000000..10086769171913
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-results_javierorjuela_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English results_javierorjuela_pipeline pipeline DistilBertForSequenceClassification from javierorjuela
+author: John Snow Labs
+name: results_javierorjuela_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_javierorjuela_pipeline` is a English model originally trained by javierorjuela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_javierorjuela_pipeline_en_5.5.0_3.0_1726980205103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_javierorjuela_pipeline_en_5.5.0_3.0_1726980205103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("results_javierorjuela_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("results_javierorjuela_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_javierorjuela_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/javierorjuela/results
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_9_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_9_en.md
new file mode 100644
index 00000000000000..c4ff8d6a011dcf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_9_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_9 RoBertaForSequenceClassification from mollypak
+author: John Snow Labs
+name: roberta_9
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_9` is a English model originally trained by mollypak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_9_en_5.5.0_3.0_1726972265563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_9_en_5.5.0_3.0_1726972265563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_9|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|422.9 MB|
+
+## References
+
+https://huggingface.co/mollypak/roberta_9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_base_tweet_topic_multi_2020_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_tweet_topic_multi_2020_en.md
new file mode 100644
index 00000000000000..8e1d7a3ef35de5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_tweet_topic_multi_2020_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_tweet_topic_multi_2020 RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: roberta_base_tweet_topic_multi_2020
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_tweet_topic_multi_2020` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_tweet_topic_multi_2020_en_5.5.0_3.0_1726967441556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_tweet_topic_multi_2020_en_5.5.0_3.0_1726967441556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_bert_10_unmalicious|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/ubaskota/roberta_BERT_10_unmalicious
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_full_finetuned_banking_100pct_v2_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_full_finetuned_banking_100pct_v2_en.md
new file mode 100644
index 00000000000000..11d2791b03bf5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_full_finetuned_banking_100pct_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_full_finetuned_banking_100pct_v2 RoBertaForSequenceClassification from benayas
+author: John Snow Labs
+name: roberta_full_finetuned_banking_100pct_v2
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_full_finetuned_banking_100pct_v2` is a English model originally trained by benayas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_full_finetuned_banking_100pct_v2_en_5.5.0_3.0_1726971832743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_full_finetuned_banking_100pct_v2_en_5.5.0_3.0_1726971832743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_full_finetuned_banking_100pct_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|420.4 MB|
+
+## References
+
+https://huggingface.co/benayas/roberta-full-finetuned-banking_100pct_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_full_finetuned_banking_100pct_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_full_finetuned_banking_100pct_v2_pipeline_en.md
new file mode 100644
index 00000000000000..42759c414174ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_full_finetuned_banking_100pct_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_full_finetuned_banking_100pct_v2_pipeline pipeline RoBertaForSequenceClassification from benayas
+author: John Snow Labs
+name: roberta_full_finetuned_banking_100pct_v2_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_full_finetuned_banking_100pct_v2_pipeline` is a English model originally trained by benayas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_full_finetuned_banking_100pct_v2_pipeline_en_5.5.0_3.0_1726971872088.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_full_finetuned_banking_100pct_v2_pipeline_en_5.5.0_3.0_1726971872088.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_full_finetuned_banking_100pct_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_full_finetuned_banking_100pct_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_full_finetuned_banking_100pct_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|420.4 MB|
+
+## References
+
+https://huggingface.co/benayas/roberta-full-finetuned-banking_100pct_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_large_sst_2_16_13_smoothed_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_large_sst_2_16_13_smoothed_pipeline_en.md
new file mode 100644
index 00000000000000..4d77ac6a9032a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_large_sst_2_16_13_smoothed_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_sst_2_16_13_smoothed_pipeline pipeline RoBertaForSequenceClassification from simonycl
+author: John Snow Labs
+name: roberta_large_sst_2_16_13_smoothed_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_sst_2_16_13_smoothed_pipeline` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_sst_2_16_13_smoothed_pipeline_en_5.5.0_3.0_1726972516150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_sst_2_16_13_smoothed_pipeline_en_5.5.0_3.0_1726972516150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_sst_2_16_13_smoothed_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_sst_2_16_13_smoothed_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_sst_2_16_13_smoothed_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/simonycl/roberta-large-sst-2-16-13-smoothed
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_poetry_religion_crpo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_poetry_religion_crpo_pipeline_en.md
new file mode 100644
index 00000000000000..48e1be3196413a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_poetry_religion_crpo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_poetry_religion_crpo_pipeline pipeline RoBertaEmbeddings from andreipb
+author: John Snow Labs
+name: roberta_poetry_religion_crpo_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_poetry_religion_crpo_pipeline` is a English model originally trained by andreipb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_poetry_religion_crpo_pipeline_en_5.5.0_3.0_1726999728004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_poetry_religion_crpo_pipeline_en_5.5.0_3.0_1726999728004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_poetry_religion_crpo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_poetry_religion_crpo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_poetry_religion_crpo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/andreipb/roberta-poetry-religion-crpo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_tgmd_large_b_es1_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_tgmd_large_b_es1_en.md
new file mode 100644
index 00000000000000..724c95583072d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_tgmd_large_b_es1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_tgmd_large_b_es1 RoBertaForSequenceClassification from hadish
+author: John Snow Labs
+name: roberta_tgmd_large_b_es1
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tgmd_large_b_es1` is a English model originally trained by hadish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tgmd_large_b_es1_en_5.5.0_3.0_1726971775641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tgmd_large_b_es1_en_5.5.0_3.0_1726971775641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tgmd_large_b_es1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/hadish/roberta-TGMD-large-B-ES1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_untrained_1eps_seed925_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_untrained_1eps_seed925_en.md
new file mode 100644
index 00000000000000..63b3192c25f398
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_untrained_1eps_seed925_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_untrained_1eps_seed925 RoBertaForSequenceClassification from custeau
+author: John Snow Labs
+name: roberta_untrained_1eps_seed925
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_untrained_1eps_seed925` is a English model originally trained by custeau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_untrained_1eps_seed925_en_5.5.0_3.0_1726971603303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_untrained_1eps_seed925_en_5.5.0_3.0_1726971603303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_untrained_1eps_seed925|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.8 MB|
+
+## References
+
+https://huggingface.co/custeau/roberta_untrained_1eps_seed925
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_untrained_1eps_seed925_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_untrained_1eps_seed925_pipeline_en.md
new file mode 100644
index 00000000000000..e4fb3645e255c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_untrained_1eps_seed925_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_untrained_1eps_seed925_pipeline pipeline RoBertaForSequenceClassification from custeau
+author: John Snow Labs
+name: roberta_untrained_1eps_seed925_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_untrained_1eps_seed925_pipeline` is a English model originally trained by custeau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_untrained_1eps_seed925_pipeline_en_5.5.0_3.0_1726971631010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_untrained_1eps_seed925_pipeline_en_5.5.0_3.0_1726971631010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_untrained_1eps_seed925_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_untrained_1eps_seed925_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_untrained_1eps_seed925_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|447.8 MB|
+
+## References
+
+https://huggingface.co/custeau/roberta_untrained_1eps_seed925
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-robertacnnrnnfnntransformer2_en.md b/docs/_posts/ahmedlone127/2024-09-22-robertacnnrnnfnntransformer2_en.md
new file mode 100644
index 00000000000000..41aa44d6860398
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-robertacnnrnnfnntransformer2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English robertacnnrnnfnntransformer2 RoBertaEmbeddings from Mukundhan32
+author: John Snow Labs
+name: robertacnnrnnfnntransformer2
+date: 2024-09-22
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robertacnnrnnfnntransformer2` is a English model originally trained by Mukundhan32.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertacnnrnnfnntransformer2_en_5.5.0_3.0_1726999495285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertacnnrnnfnntransformer2_en_5.5.0_3.0_1726999495285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robertacnnrnnfnntransformer2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|446.9 MB|
+
+## References
+
+https://huggingface.co/Mukundhan32/RobertaCnnRnnFnnTransformer2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-robertacnnrnnfnntransformer2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-robertacnnrnnfnntransformer2_pipeline_en.md
new file mode 100644
index 00000000000000..002e834f772db0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-robertacnnrnnfnntransformer2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English robertacnnrnnfnntransformer2_pipeline pipeline RoBertaEmbeddings from Mukundhan32
+author: John Snow Labs
+name: robertacnnrnnfnntransformer2_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robertacnnrnnfnntransformer2_pipeline` is a English model originally trained by Mukundhan32.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertacnnrnnfnntransformer2_pipeline_en_5.5.0_3.0_1726999521851.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertacnnrnnfnntransformer2_pipeline_en_5.5.0_3.0_1726999521851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("robertacnnrnnfnntransformer2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("robertacnnrnnfnntransformer2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robertacnnrnnfnntransformer2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|446.9 MB|
+
+## References
+
+https://huggingface.co/Mukundhan32/RobertaCnnRnnFnnTransformer2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-scinertopic_en.md b/docs/_posts/ahmedlone127/2024-09-22-scinertopic_en.md
new file mode 100644
index 00000000000000..332c6f8ecdd059
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-scinertopic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English scinertopic BertForTokenClassification from RJuro
+author: John Snow Labs
+name: scinertopic
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scinertopic` is a English model originally trained by RJuro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scinertopic_en_5.5.0_3.0_1726974698673.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scinertopic_en_5.5.0_3.0_1726974698673.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scinertopic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/RJuro/SciNERTopic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-scinertopic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-scinertopic_pipeline_en.md
new file mode 100644
index 00000000000000..4195270f51b205
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-scinertopic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English scinertopic_pipeline pipeline BertForTokenClassification from RJuro
+author: John Snow Labs
+name: scinertopic_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scinertopic_pipeline` is a English model originally trained by RJuro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scinertopic_pipeline_en_5.5.0_3.0_1726974716669.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scinertopic_pipeline_en_5.5.0_3.0_1726974716669.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("scinertopic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("scinertopic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scinertopic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/RJuro/SciNERTopic
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_astro_hep_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_astro_hep_bert_pipeline_en.md
new file mode 100644
index 00000000000000..84dcee88b8122f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_astro_hep_bert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_astro_hep_bert_pipeline pipeline BertSentenceEmbeddings from arnosimons
+author: John Snow Labs
+name: sent_astro_hep_bert_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_astro_hep_bert_pipeline` is a English model originally trained by arnosimons.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_astro_hep_bert_pipeline_en_5.5.0_3.0_1726964696982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_astro_hep_bert_pipeline_en_5.5.0_3.0_1726964696982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_astro_hep_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_astro_hep_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_astro_hep_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.6 MB|
+
+## References
+
+https://huggingface.co/arnosimons/astro-hep-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_cased_model_attribution_challenge_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_cased_model_attribution_challenge_en.md
new file mode 100644
index 00000000000000..c62ec0ee9ed905
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_cased_model_attribution_challenge_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_cased_model_attribution_challenge BertSentenceEmbeddings from model-attribution-challenge
+author: John Snow Labs
+name: sent_bert_base_cased_model_attribution_challenge
+date: 2024-09-22
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_cased_model_attribution_challenge` is a English model originally trained by model-attribution-challenge.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_cased_model_attribution_challenge_en_5.5.0_3.0_1727004091661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_cased_model_attribution_challenge_en_5.5.0_3.0_1727004091661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_cased_model_attribution_challenge|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/model-attribution-challenge/bert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_english_thai_cased_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_english_thai_cased_en.md
new file mode 100644
index 00000000000000..77b9ffa69efaec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_english_thai_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_thai_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_thai_cased
+date: 2024-09-22
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_thai_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_thai_cased_en_5.5.0_3.0_1727004279720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_thai_cased_en_5.5.0_3.0_1727004279720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_thai_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|404.3 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-th-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_english_thai_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_english_thai_cased_pipeline_en.md
new file mode 100644
index 00000000000000..0405f32b787682
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_english_thai_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_thai_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_thai_cased_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_thai_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_thai_cased_pipeline_en_5.5.0_3.0_1727004297490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_thai_cased_pipeline_en_5.5.0_3.0_1727004297490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_thai_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_thai_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_thai_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.8 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-th-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_multilingual_cased_finetuned_kinyarwanda_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_multilingual_cased_finetuned_kinyarwanda_pipeline_xx.md
new file mode 100644
index 00000000000000..2f42ea7be2cb83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_multilingual_cased_finetuned_kinyarwanda_pipeline_xx.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Multilingual sent_bert_base_multilingual_cased_finetuned_kinyarwanda_pipeline pipeline BertSentenceEmbeddings from Davlan
+author: John Snow Labs
+name: sent_bert_base_multilingual_cased_finetuned_kinyarwanda_pipeline
+date: 2024-09-22
+tags: [xx, open_source, pipeline, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_multilingual_cased_finetuned_kinyarwanda_pipeline` is a Multilingual model originally trained by Davlan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_multilingual_cased_finetuned_kinyarwanda_pipeline_xx_5.5.0_3.0_1727001838902.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_multilingual_cased_finetuned_kinyarwanda_pipeline_xx_5.5.0_3.0_1727001838902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_multilingual_cased_finetuned_kinyarwanda_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_multilingual_cased_finetuned_kinyarwanda_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_multilingual_cased_finetuned_kinyarwanda_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|665.6 MB|
+
+## References
+
+https://huggingface.co/Davlan/bert-base-multilingual-cased-finetuned-kinyarwanda
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_multilingual_cased_finetuned_kinyarwanda_xx.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_multilingual_cased_finetuned_kinyarwanda_xx.md
new file mode 100644
index 00000000000000..e468c521b4f489
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_multilingual_cased_finetuned_kinyarwanda_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual sent_bert_base_multilingual_cased_finetuned_kinyarwanda BertSentenceEmbeddings from Davlan
+author: John Snow Labs
+name: sent_bert_base_multilingual_cased_finetuned_kinyarwanda
+date: 2024-09-22
+tags: [xx, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_multilingual_cased_finetuned_kinyarwanda` is a Multilingual model originally trained by Davlan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_multilingual_cased_finetuned_kinyarwanda_xx_5.5.0_3.0_1727001810047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_multilingual_cased_finetuned_kinyarwanda_xx_5.5.0_3.0_1727001810047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_multilingual_cased_finetuned_kinyarwanda|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/Davlan/bert-base-multilingual-cased-finetuned-kinyarwanda
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_nli_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_nli_en.md
new file mode 100644
index 00000000000000..a7c9c7eefd92db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_nli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_nli BertSentenceEmbeddings from binwang
+author: John Snow Labs
+name: sent_bert_base_nli
+date: 2024-09-22
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_nli` is a English model originally trained by binwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_nli_en_5.5.0_3.0_1726965199929.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_nli_en_5.5.0_3.0_1726965199929.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_nli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/binwang/bert-base-nli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_nli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_nli_pipeline_en.md
new file mode 100644
index 00000000000000..08d0f979748325
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_nli_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_nli_pipeline pipeline BertSentenceEmbeddings from binwang
+author: John Snow Labs
+name: sent_bert_base_nli_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_nli_pipeline` is a English model originally trained by binwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_nli_pipeline_en_5.5.0_3.0_1726965217957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_nli_pipeline_en_5.5.0_3.0_1726965217957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_nli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_nli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_nli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/binwang/bert-base-nli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_finetuned_news_2010_2015_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_finetuned_news_2010_2015_en.md
new file mode 100644
index 00000000000000..a7601c31b3e440
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_finetuned_news_2010_2015_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_news_2010_2015 BertSentenceEmbeddings from sally9805
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_news_2010_2015
+date: 2024-09-22
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_news_2010_2015` is a English model originally trained by sally9805.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_news_2010_2015_en_5.5.0_3.0_1726965225645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_news_2010_2015_en_5.5.0_3.0_1726965225645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_news_2010_2015|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/sally9805/bert-base-uncased-finetuned-news-2010-2015
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_finetuned_news_2010_2015_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_finetuned_news_2010_2015_pipeline_en.md
new file mode 100644
index 00000000000000..285de6232b6d1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_finetuned_news_2010_2015_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_finetuned_news_2010_2015_pipeline pipeline BertSentenceEmbeddings from sally9805
+author: John Snow Labs
+name: sent_bert_base_uncased_finetuned_news_2010_2015_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_finetuned_news_2010_2015_pipeline` is a English model originally trained by sally9805.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_news_2010_2015_pipeline_en_5.5.0_3.0_1726965244154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_finetuned_news_2010_2015_pipeline_en_5.5.0_3.0_1726965244154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_finetuned_news_2010_2015_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_finetuned_news_2010_2015_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_finetuned_news_2010_2015_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/sally9805/bert-base-uncased-finetuned-news-2010-2015
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_issues_128_anantonios9_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_issues_128_anantonios9_en.md
new file mode 100644
index 00000000000000..1a6ae168d0e289
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_issues_128_anantonios9_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_anantonios9 BertSentenceEmbeddings from anantonios9
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_anantonios9
+date: 2024-09-22
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_anantonios9` is a English model originally trained by anantonios9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_anantonios9_en_5.5.0_3.0_1726964887546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_anantonios9_en_5.5.0_3.0_1726964887546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_anantonios9|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/anantonios9/bert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_issues_128_anantonios9_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_issues_128_anantonios9_pipeline_en.md
new file mode 100644
index 00000000000000..128ca7da9d3e17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_uncased_issues_128_anantonios9_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_uncased_issues_128_anantonios9_pipeline pipeline BertSentenceEmbeddings from anantonios9
+author: John Snow Labs
+name: sent_bert_base_uncased_issues_128_anantonios9_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_uncased_issues_128_anantonios9_pipeline` is a English model originally trained by anantonios9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_anantonios9_pipeline_en_5.5.0_3.0_1726964905859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_issues_128_anantonios9_pipeline_en_5.5.0_3.0_1726964905859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_uncased_issues_128_anantonios9_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_uncased_issues_128_anantonios9_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_issues_128_anantonios9_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/anantonios9/bert-base-uncased-issues-128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_tagalog_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_tagalog_base_uncased_en.md
new file mode 100644
index 00000000000000..2c2cc2ba1ce0ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_tagalog_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_tagalog_base_uncased BertSentenceEmbeddings from GKLMIP
+author: John Snow Labs
+name: sent_bert_tagalog_base_uncased
+date: 2024-09-22
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_tagalog_base_uncased` is a English model originally trained by GKLMIP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_tagalog_base_uncased_en_5.5.0_3.0_1727001705277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_tagalog_base_uncased_en_5.5.0_3.0_1727001705277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_tagalog_base_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|469.7 MB|
+
+## References
+
+https://huggingface.co/GKLMIP/bert-tagalog-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_tagalog_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_tagalog_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..2051ed00c12a09
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_tagalog_base_uncased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_tagalog_base_uncased_pipeline pipeline BertSentenceEmbeddings from GKLMIP
+author: John Snow Labs
+name: sent_bert_tagalog_base_uncased_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_tagalog_base_uncased_pipeline` is a English model originally trained by GKLMIP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_tagalog_base_uncased_pipeline_en_5.5.0_3.0_1727001725672.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_tagalog_base_uncased_pipeline_en_5.5.0_3.0_1727001725672.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_tagalog_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_tagalog_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_tagalog_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|470.3 MB|
+
+## References
+
+https://huggingface.co/GKLMIP/bert-tagalog-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bertimbau_large_fine_tuned_md_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bertimbau_large_fine_tuned_md_en.md
new file mode 100644
index 00000000000000..55015ca0bb26bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bertimbau_large_fine_tuned_md_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bertimbau_large_fine_tuned_md BertSentenceEmbeddings from AVSilva
+author: John Snow Labs
+name: sent_bertimbau_large_fine_tuned_md
+date: 2024-09-22
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bertimbau_large_fine_tuned_md` is a English model originally trained by AVSilva.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bertimbau_large_fine_tuned_md_en_5.5.0_3.0_1726964815373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bertimbau_large_fine_tuned_md_en_5.5.0_3.0_1726964815373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bertimbau_large_fine_tuned_md|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/AVSilva/bertimbau-large-fine-tuned-md
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bertimbau_large_fine_tuned_md_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bertimbau_large_fine_tuned_md_pipeline_en.md
new file mode 100644
index 00000000000000..a7f9cea9b607c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bertimbau_large_fine_tuned_md_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bertimbau_large_fine_tuned_md_pipeline pipeline BertSentenceEmbeddings from AVSilva
+author: John Snow Labs
+name: sent_bertimbau_large_fine_tuned_md_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bertimbau_large_fine_tuned_md_pipeline` is a English model originally trained by AVSilva.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bertimbau_large_fine_tuned_md_pipeline_en_5.5.0_3.0_1726964870212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bertimbau_large_fine_tuned_md_pipeline_en_5.5.0_3.0_1726964870212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bertimbau_large_fine_tuned_md_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bertimbau_large_fine_tuned_md_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bertimbau_large_fine_tuned_md_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/AVSilva/bertimbau-large-fine-tuned-md
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_deberta_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_deberta_base_uncased_en.md
new file mode 100644
index 00000000000000..297fd7048f8b92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_deberta_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_deberta_base_uncased BertSentenceEmbeddings from mlcorelib
+author: John Snow Labs
+name: sent_deberta_base_uncased
+date: 2024-09-22
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_deberta_base_uncased` is a English model originally trained by mlcorelib.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_deberta_base_uncased_en_5.5.0_3.0_1727004091994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_deberta_base_uncased_en_5.5.0_3.0_1727004091994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_deberta_base_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/mlcorelib/deberta-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_deberta_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_deberta_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..367e3c83387df3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_deberta_base_uncased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_deberta_base_uncased_pipeline pipeline BertSentenceEmbeddings from mlcorelib
+author: John Snow Labs
+name: sent_deberta_base_uncased_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_deberta_base_uncased_pipeline` is a English model originally trained by mlcorelib.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_deberta_base_uncased_pipeline_en_5.5.0_3.0_1727004112981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_deberta_base_uncased_pipeline_en_5.5.0_3.0_1727004112981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_deberta_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_deberta_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_deberta_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/mlcorelib/deberta-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_hindi_bpe_bert_test_2m_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_hindi_bpe_bert_test_2m_en.md
new file mode 100644
index 00000000000000..9c2440fe844865
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_hindi_bpe_bert_test_2m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_hindi_bpe_bert_test_2m BertSentenceEmbeddings from rg1683
+author: John Snow Labs
+name: sent_hindi_bpe_bert_test_2m
+date: 2024-09-22
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_hindi_bpe_bert_test_2m` is a English model originally trained by rg1683.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_hindi_bpe_bert_test_2m_en_5.5.0_3.0_1727004329991.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_hindi_bpe_bert_test_2m_en_5.5.0_3.0_1727004329991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hindi_bpe_bert_test_2m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|377.8 MB|
+
+## References
+
+https://huggingface.co/rg1683/hindi_bpe_bert_test_2m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_indobert_base_p2_finetuned_mer_80k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_indobert_base_p2_finetuned_mer_80k_pipeline_en.md
new file mode 100644
index 00000000000000..168a4a0b39ea1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_indobert_base_p2_finetuned_mer_80k_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_indobert_base_p2_finetuned_mer_80k_pipeline pipeline BertSentenceEmbeddings from stevenwh
+author: John Snow Labs
+name: sent_indobert_base_p2_finetuned_mer_80k_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_indobert_base_p2_finetuned_mer_80k_pipeline` is a English model originally trained by stevenwh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_indobert_base_p2_finetuned_mer_80k_pipeline_en_5.5.0_3.0_1727001722140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_indobert_base_p2_finetuned_mer_80k_pipeline_en_5.5.0_3.0_1727001722140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_indobert_base_p2_finetuned_mer_80k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_indobert_base_p2_finetuned_mer_80k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_indobert_base_p2_finetuned_mer_80k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.8 MB|
+
+## References
+
+https://huggingface.co/stevenwh/indobert-base-p2-finetuned-mer-80k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_protaugment_lm_banking77_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_protaugment_lm_banking77_en.md
new file mode 100644
index 00000000000000..7891ed9e095e35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_protaugment_lm_banking77_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_protaugment_lm_banking77 BertSentenceEmbeddings from tdopierre
+author: John Snow Labs
+name: sent_protaugment_lm_banking77
+date: 2024-09-22
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_protaugment_lm_banking77` is a English model originally trained by tdopierre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_protaugment_lm_banking77_en_5.5.0_3.0_1726964955944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_protaugment_lm_banking77_en_5.5.0_3.0_1726964955944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_protaugment_lm_banking77|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/tdopierre/ProtAugment-LM-BANKING77
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_protaugment_lm_banking77_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_protaugment_lm_banking77_pipeline_en.md
new file mode 100644
index 00000000000000..0ab43f0a96045a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_protaugment_lm_banking77_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_protaugment_lm_banking77_pipeline pipeline BertSentenceEmbeddings from tdopierre
+author: John Snow Labs
+name: sent_protaugment_lm_banking77_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_protaugment_lm_banking77_pipeline` is a English model originally trained by tdopierre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_protaugment_lm_banking77_pipeline_en_5.5.0_3.0_1726964974170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_protaugment_lm_banking77_pipeline_en_5.5.0_3.0_1726964974170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_protaugment_lm_banking77_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_protaugment_lm_banking77_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_protaugment_lm_banking77_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.1 MB|
+
+## References
+
+https://huggingface.co/tdopierre/ProtAugment-LM-BANKING77
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_splade_v3_lexical_nirantk_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_splade_v3_lexical_nirantk_en.md
new file mode 100644
index 00000000000000..92892a90c0d4e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_splade_v3_lexical_nirantk_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_splade_v3_lexical_nirantk BertSentenceEmbeddings from nirantk
+author: John Snow Labs
+name: sent_splade_v3_lexical_nirantk
+date: 2024-09-22
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_splade_v3_lexical_nirantk` is a English model originally trained by nirantk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_splade_v3_lexical_nirantk_en_5.5.0_3.0_1727001477816.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_splade_v3_lexical_nirantk_en_5.5.0_3.0_1727001477816.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_splade_v3_lexical_nirantk|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/nirantk/splade-v3-lexical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sentiment_analysis_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-22-sentiment_analysis_distilbert_en.md
new file mode 100644
index 00000000000000..2b047a1e7c789b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sentiment_analysis_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_analysis_distilbert DistilBertForSequenceClassification from arnavmahapatra
+author: John Snow Labs
+name: sentiment_analysis_distilbert
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_distilbert` is a English model originally trained by arnavmahapatra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_distilbert_en_5.5.0_3.0_1726980227790.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_distilbert_en_5.5.0_3.0_1726980227790.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_distilbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/arnavmahapatra/sentiment-analysis-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2019_90m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2019_90m_pipeline_en.md
new file mode 100644
index 00000000000000..e0c95dce7c8a8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2019_90m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2019_90m_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2019_90m_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2019_90m_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2019_90m_pipeline_en_5.5.0_3.0_1726972066460.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2019_90m_pipeline_en_5.5.0_3.0_1726972066460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2019_90m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2019_90m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2019_90m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_random3_seed2-twitter-roberta-base-2019-90m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-spa_portuguese_xlm_r_es.md b/docs/_posts/ahmedlone127/2024-09-22-spa_portuguese_xlm_r_es.md
new file mode 100644
index 00000000000000..9d46f1906a231e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-spa_portuguese_xlm_r_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish spa_portuguese_xlm_r XlmRoBertaForTokenClassification from mbruton
+author: John Snow Labs
+name: spa_portuguese_xlm_r
+date: 2024-09-22
+tags: [es, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spa_portuguese_xlm_r` is a Castilian, Spanish model originally trained by mbruton.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spa_portuguese_xlm_r_es_5.5.0_3.0_1726970122075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spa_portuguese_xlm_r_es_5.5.0_3.0_1726970122075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spa_portuguese_xlm_r|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|865.1 MB|
+
+## References
+
+https://huggingface.co/mbruton/spa_pt_XLM-R
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-spa_portuguese_xlm_r_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-22-spa_portuguese_xlm_r_pipeline_es.md
new file mode 100644
index 00000000000000..63ffc94011a806
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-spa_portuguese_xlm_r_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish spa_portuguese_xlm_r_pipeline pipeline XlmRoBertaForTokenClassification from mbruton
+author: John Snow Labs
+name: spa_portuguese_xlm_r_pipeline
+date: 2024-09-22
+tags: [es, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spa_portuguese_xlm_r_pipeline` is a Castilian, Spanish model originally trained by mbruton.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spa_portuguese_xlm_r_pipeline_es_5.5.0_3.0_1726970179501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spa_portuguese_xlm_r_pipeline_es_5.5.0_3.0_1726970179501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("spa_portuguese_xlm_r_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("spa_portuguese_xlm_r_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spa_portuguese_xlm_r_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|865.1 MB|
+
+## References
+
+https://huggingface.co/mbruton/spa_pt_XLM-R
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-stance_gottbert_en.md b/docs/_posts/ahmedlone127/2024-09-22-stance_gottbert_en.md
new file mode 100644
index 00000000000000..753e342321bdad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-stance_gottbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stance_gottbert RoBertaForSequenceClassification from ogoshi2000
+author: John Snow Labs
+name: stance_gottbert
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stance_gottbert` is a English model originally trained by ogoshi2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stance_gottbert_en_5.5.0_3.0_1726971983560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stance_gottbert_en_5.5.0_3.0_1726971983560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stance_gottbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|472.9 MB|
+
+## References
+
+https://huggingface.co/ogoshi2000/stance-gottbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-t_108_en.md b/docs/_posts/ahmedlone127/2024-09-22-t_108_en.md
new file mode 100644
index 00000000000000..0bc4dd326cda7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-t_108_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English t_108 RoBertaForSequenceClassification from Pablojmed
+author: John Snow Labs
+name: t_108
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t_108` is a English model originally trained by Pablojmed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t_108_en_5.5.0_3.0_1726972378305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t_108_en_5.5.0_3.0_1726972378305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t_108|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.2 MB|
+
+## References
+
+https://huggingface.co/Pablojmed/t_108
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-t_108_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-t_108_pipeline_en.md
new file mode 100644
index 00000000000000..afa83b84f374fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-t_108_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English t_108_pipeline pipeline RoBertaForSequenceClassification from Pablojmed
+author: John Snow Labs
+name: t_108_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t_108_pipeline` is a English model originally trained by Pablojmed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t_108_pipeline_en_5.5.0_3.0_1726972401481.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t_108_pipeline_en_5.5.0_3.0_1726972401481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("t_108_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("t_108_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t_108_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.2 MB|
+
+## References
+
+https://huggingface.co/Pablojmed/t_108
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-test_fith_ko.md b/docs/_posts/ahmedlone127/2024-09-22-test_fith_ko.md
new file mode 100644
index 00000000000000..46ca0cfd77821d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-test_fith_ko.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Korean test_fith WhisperForCTC from kyungmin011029
+author: John Snow Labs
+name: test_fith
+date: 2024-09-22
+tags: [ko, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_fith` is a Korean model originally trained by kyungmin011029.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_fith_ko_5.5.0_3.0_1726981307031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_fith_ko_5.5.0_3.0_1726981307031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_fith|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ko|
+|Size:|643.3 MB|
+
+## References
+
+https://huggingface.co/kyungmin011029/test_fith
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-test_fith_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-22-test_fith_pipeline_ko.md
new file mode 100644
index 00000000000000..da0b825a38e282
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-test_fith_pipeline_ko.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Korean test_fith_pipeline pipeline WhisperForCTC from kyungmin011029
+author: John Snow Labs
+name: test_fith_pipeline
+date: 2024-09-22
+tags: [ko, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_fith_pipeline` is a Korean model originally trained by kyungmin011029.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_fith_pipeline_ko_5.5.0_3.0_1726981337434.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_fith_pipeline_ko_5.5.0_3.0_1726981337434.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_fith_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_fith_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_fith_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|643.3 MB|
+
+## References
+
+https://huggingface.co/kyungmin011029/test_fith
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-test_roberta_euhaq_en.md b/docs/_posts/ahmedlone127/2024-09-22-test_roberta_euhaq_en.md
new file mode 100644
index 00000000000000..d13284e878253a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-test_roberta_euhaq_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_roberta_euhaq RoBertaForSequenceClassification from euhaq
+author: John Snow Labs
+name: test_roberta_euhaq
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_roberta_euhaq` is a English model originally trained by euhaq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_roberta_euhaq_en_5.5.0_3.0_1726967540876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_roberta_euhaq_en_5.5.0_3.0_1726967540876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_roberta_euhaq|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|421.9 MB|
+
+## References
+
+https://huggingface.co/euhaq/test_roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-text_emotion_classifier_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-22-text_emotion_classifier_distilbert_en.md
new file mode 100644
index 00000000000000..11727d193a0929
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-text_emotion_classifier_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English text_emotion_classifier_distilbert BertForSequenceClassification from dima806
+author: John Snow Labs
+name: text_emotion_classifier_distilbert
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_emotion_classifier_distilbert` is a English model originally trained by dima806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_emotion_classifier_distilbert_en_5.5.0_3.0_1726988477721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_emotion_classifier_distilbert_en_5.5.0_3.0_1726988477721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_emotion_classifier_distilbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/dima806/text-emotion-classifier-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-text_emotion_classifier_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-text_emotion_classifier_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..1151f93e7a1302
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-text_emotion_classifier_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English text_emotion_classifier_distilbert_pipeline pipeline BertForSequenceClassification from dima806
+author: John Snow Labs
+name: text_emotion_classifier_distilbert_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_emotion_classifier_distilbert_pipeline` is a English model originally trained by dima806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_emotion_classifier_distilbert_pipeline_en_5.5.0_3.0_1726988497857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_emotion_classifier_distilbert_pipeline_en_5.5.0_3.0_1726988497857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("text_emotion_classifier_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("text_emotion_classifier_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_emotion_classifier_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/dima806/text-emotion-classifier-distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-tiny_bert_flax_en.md b/docs/_posts/ahmedlone127/2024-09-22-tiny_bert_flax_en.md
new file mode 100644
index 00000000000000..f7907b09191639
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-tiny_bert_flax_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English tiny_bert_flax BertForQuestionAnswering from harshil10
+author: John Snow Labs
+name: tiny_bert_flax
+date: 2024-09-22
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_bert_flax` is a English model originally trained by harshil10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_flax_en_5.5.0_3.0_1726991925976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_flax_en_5.5.0_3.0_1726991925976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_bert_flax|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/harshil10/tiny_bert_flax
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-tiny_bert_flax_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-tiny_bert_flax_pipeline_en.md
new file mode 100644
index 00000000000000..e5065a8167d509
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-tiny_bert_flax_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tiny_bert_flax_pipeline pipeline BertForQuestionAnswering from harshil10
+author: John Snow Labs
+name: tiny_bert_flax_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_bert_flax_pipeline` is a English model originally trained by harshil10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_flax_pipeline_en_5.5.0_3.0_1726991927086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_flax_pipeline_en_5.5.0_3.0_1726991927086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_bert_flax_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_bert_flax_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_bert_flax_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/harshil10/tiny_bert_flax
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-twitchleaguebert_260k_en.md b/docs/_posts/ahmedlone127/2024-09-22-twitchleaguebert_260k_en.md
new file mode 100644
index 00000000000000..1c3b1827e88e48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-twitchleaguebert_260k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitchleaguebert_260k RoBertaEmbeddings from Epidot
+author: John Snow Labs
+name: twitchleaguebert_260k
+date: 2024-09-22
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitchleaguebert_260k` is a English model originally trained by Epidot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitchleaguebert_260k_en_5.5.0_3.0_1726999577563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitchleaguebert_260k_en_5.5.0_3.0_1726999577563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitchleaguebert_260k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|305.9 MB|
+
+## References
+
+https://huggingface.co/Epidot/TwitchLeagueBert-260k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-twitter_roberta_base_nerd_latest_en.md b/docs/_posts/ahmedlone127/2024-09-22-twitter_roberta_base_nerd_latest_en.md
new file mode 100644
index 00000000000000..0a8c49cb39238b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-twitter_roberta_base_nerd_latest_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_base_nerd_latest RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_nerd_latest
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_nerd_latest` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_nerd_latest_en_5.5.0_3.0_1726967300700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_nerd_latest_en_5.5.0_3.0_1726967300700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_nerd_latest|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.6 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-nerd-latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-twitter_roberta_base_nerd_latest_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-twitter_roberta_base_nerd_latest_pipeline_en.md
new file mode 100644
index 00000000000000..bafc1c01c0cc37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-twitter_roberta_base_nerd_latest_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_roberta_base_nerd_latest_pipeline pipeline RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_nerd_latest_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_nerd_latest_pipeline` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_nerd_latest_pipeline_en_5.5.0_3.0_1726967322635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_nerd_latest_pipeline_en_5.5.0_3.0_1726967322635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_roberta_base_nerd_latest_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_roberta_base_nerd_latest_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_nerd_latest_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.6 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-nerd-latest
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-voicemath_tiny_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-voicemath_tiny_pipeline_en.md
new file mode 100644
index 00000000000000..cb7c91f50f003b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-voicemath_tiny_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English voicemath_tiny_pipeline pipeline WhisperForCTC from hoonsung
+author: John Snow Labs
+name: voicemath_tiny_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`voicemath_tiny_pipeline` is a English model originally trained by hoonsung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/voicemath_tiny_pipeline_en_5.5.0_3.0_1726995760568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/voicemath_tiny_pipeline_en_5.5.0_3.0_1726995760568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("voicemath_tiny_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("voicemath_tiny_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|voicemath_tiny_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|394.9 MB|
+
+## References
+
+https://huggingface.co/hoonsung/VoiceMath-Tiny
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_base2_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_base2_pipeline_ko.md
new file mode 100644
index 00000000000000..ba0e6a601a257f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_base2_pipeline_ko.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Korean whisper_base2_pipeline pipeline WhisperForCTC from Dearlie
+author: John Snow Labs
+name: whisper_base2_pipeline
+date: 2024-09-22
+tags: [ko, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base2_pipeline` is a Korean model originally trained by Dearlie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base2_pipeline_ko_5.5.0_3.0_1726997834648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base2_pipeline_ko_5.5.0_3.0_1726997834648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base2_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base2_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|398.6 MB|
+
+## References
+
+https://huggingface.co/Dearlie/whisper-base2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_base_malayalam_ml.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_base_malayalam_ml.md
new file mode 100644
index 00000000000000..e3151948444dd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_base_malayalam_ml.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Malayalam whisper_base_malayalam WhisperForCTC from parambharat
+author: John Snow Labs
+name: whisper_base_malayalam
+date: 2024-09-22
+tags: [ml, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ml
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_malayalam` is a Malayalam model originally trained by parambharat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_malayalam_ml_5.5.0_3.0_1726985249638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_malayalam_ml_5.5.0_3.0_1726985249638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_arabict12|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ar|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/taqwa92/whisper-small-ArabicT12
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_divehi_cordwainersmith_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_divehi_cordwainersmith_pipeline_en.md
new file mode 100644
index 00000000000000..8f802262d2dcb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_divehi_cordwainersmith_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_divehi_cordwainersmith_pipeline pipeline WhisperForCTC from CordwainerSmith
+author: John Snow Labs
+name: whisper_small_divehi_cordwainersmith_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_divehi_cordwainersmith_pipeline` is a English model originally trained by CordwainerSmith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_cordwainersmith_pipeline_en_5.5.0_3.0_1726997375263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_cordwainersmith_pipeline_en_5.5.0_3.0_1726997375263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_divehi_cordwainersmith_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_divehi_cordwainersmith_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_divehi_cordwainersmith_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/CordwainerSmith/whisper-small-dv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_divehi_dahml_pipeline_dv.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_divehi_dahml_pipeline_dv.md
new file mode 100644
index 00000000000000..f764abefc59170
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_divehi_dahml_pipeline_dv.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Dhivehi, Divehi, Maldivian whisper_small_divehi_dahml_pipeline pipeline WhisperForCTC from DahmL
+author: John Snow Labs
+name: whisper_small_divehi_dahml_pipeline
+date: 2024-09-22
+tags: [dv, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: dv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_divehi_dahml_pipeline` is a Dhivehi, Divehi, Maldivian model originally trained by DahmL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_dahml_pipeline_dv_5.5.0_3.0_1726982557555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_dahml_pipeline_dv_5.5.0_3.0_1726982557555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_divehi_dahml_pipeline", lang = "dv")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_divehi_dahml_pipeline", lang = "dv")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_divehi_dahml_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|dv|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/DahmL/whisper-small-dv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_estonian_rristo_et.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_estonian_rristo_et.md
new file mode 100644
index 00000000000000..5f4e7312b283b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_estonian_rristo_et.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Estonian whisper_small_estonian_rristo WhisperForCTC from rristo
+author: John Snow Labs
+name: whisper_small_estonian_rristo
+date: 2024-09-22
+tags: [et, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: et
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_estonian_rristo` is a Estonian model originally trained by rristo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_estonian_rristo_et_5.5.0_3.0_1726997327646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_estonian_rristo_et_5.5.0_3.0_1726997327646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|dv|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Froptor/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_hindi_pipeline_dv.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_hindi_pipeline_dv.md
new file mode 100644
index 00000000000000..35d0d1032e7cd4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_hindi_pipeline_dv.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Dhivehi, Divehi, Maldivian whisper_small_hindi_pipeline pipeline WhisperForCTC from Froptor
+author: John Snow Labs
+name: whisper_small_hindi_pipeline
+date: 2024-09-22
+tags: [dv, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: dv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_pipeline` is a Dhivehi, Divehi, Maldivian model originally trained by Froptor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_pipeline_dv_5.5.0_3.0_1726995680491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_pipeline_dv_5.5.0_3.0_1726995680491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_pipeline", lang = "dv")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_pipeline", lang = "dv")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|dv|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Froptor/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_hre3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_hre3_pipeline_en.md
new file mode 100644
index 00000000000000..3edb62cffe0727
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_hre3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_hre3_pipeline pipeline WhisperForCTC from ntviet
+author: John Snow Labs
+name: whisper_small_hre3_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hre3_pipeline` is a English model originally trained by ntviet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hre3_pipeline_en_5.5.0_3.0_1726995411402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hre3_pipeline_en_5.5.0_3.0_1726995411402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hre3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hre3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hre3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ntviet/whisper-small-hre3
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_indonesian_v1_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_indonesian_v1_en.md
new file mode 100644
index 00000000000000..5885114a249a8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_indonesian_v1_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_indonesian_v1 WhisperForCTC from yusufagung29
+author: John Snow Labs
+name: whisper_small_indonesian_v1
+date: 2024-09-22
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_indonesian_v1` is a English model originally trained by yusufagung29.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_v1_en_5.5.0_3.0_1726996678139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_v1_en_5.5.0_3.0_1726996678139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_indonesian_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/yusufagung29/whisper_small_id_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_indonesian_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_indonesian_v1_pipeline_en.md
new file mode 100644
index 00000000000000..3123028635a818
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_indonesian_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_indonesian_v1_pipeline pipeline WhisperForCTC from yusufagung29
+author: John Snow Labs
+name: whisper_small_indonesian_v1_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_indonesian_v1_pipeline` is a English model originally trained by yusufagung29.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_v1_pipeline_en_5.5.0_3.0_1726996766502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_v1_pipeline_en_5.5.0_3.0_1726996766502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_indonesian_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_indonesian_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_indonesian_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/yusufagung29/whisper_small_id_v1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_irish_ga.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_irish_ga.md
new file mode 100644
index 00000000000000..e1e52029333fc8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_irish_ga.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Irish whisper_small_irish WhisperForCTC from callum-canavan
+author: John Snow Labs
+name: whisper_small_irish
+date: 2024-09-22
+tags: [ga, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ga
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_irish` is a Irish model originally trained by callum-canavan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_irish_ga_5.5.0_3.0_1726997693397.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_irish_ga_5.5.0_3.0_1726997693397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_italian_edoabati|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|it|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/EdoAbati/whisper-small-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_italian_edoabati_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_italian_edoabati_pipeline_it.md
new file mode 100644
index 00000000000000..61829e0596c5e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_italian_edoabati_pipeline_it.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Italian whisper_small_italian_edoabati_pipeline pipeline WhisperForCTC from EdoAbati
+author: John Snow Labs
+name: whisper_small_italian_edoabati_pipeline
+date: 2024-09-22
+tags: [it, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_italian_edoabati_pipeline` is a Italian model originally trained by EdoAbati.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_italian_edoabati_pipeline_it_5.5.0_3.0_1726994865149.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_italian_edoabati_pipeline_it_5.5.0_3.0_1726994865149.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_italian_edoabati_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_italian_edoabati_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_italian_edoabati_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/EdoAbati/whisper-small-it
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_korean_eyfreq_speed_hi.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_korean_eyfreq_speed_hi.md
new file mode 100644
index 00000000000000..e220af5923f5b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_korean_eyfreq_speed_hi.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hindi whisper_small_korean_eyfreq_speed WhisperForCTC from Gummybear05
+author: John Snow Labs
+name: whisper_small_korean_eyfreq_speed
+date: 2024-09-22
+tags: [hi, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_korean_eyfreq_speed` is a Hindi model originally trained by Gummybear05.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_korean_eyfreq_speed_hi_5.5.0_3.0_1726997502947.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_korean_eyfreq_speed_hi_5.5.0_3.0_1726997502947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_korean_eyfreq_speed|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Gummybear05/whisper-small-ko-EYfreq_speed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_korean_eyfreq_speed_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_korean_eyfreq_speed_pipeline_hi.md
new file mode 100644
index 00000000000000..0b079760b0b0bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_korean_eyfreq_speed_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_korean_eyfreq_speed_pipeline pipeline WhisperForCTC from Gummybear05
+author: John Snow Labs
+name: whisper_small_korean_eyfreq_speed_pipeline
+date: 2024-09-22
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_korean_eyfreq_speed_pipeline` is a Hindi model originally trained by Gummybear05.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_korean_eyfreq_speed_pipeline_hi_5.5.0_3.0_1726997584512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_korean_eyfreq_speed_pipeline_hi_5.5.0_3.0_1726997584512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_korean_eyfreq_speed_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_korean_eyfreq_speed_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_korean_eyfreq_speed_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Gummybear05/whisper-small-ko-EYfreq_speed
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_macedonian_pipeline_mk.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_macedonian_pipeline_mk.md
new file mode 100644
index 00000000000000..c2cc46f7bf7375
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_macedonian_pipeline_mk.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Macedonian whisper_small_macedonian_pipeline pipeline WhisperForCTC from goran
+author: John Snow Labs
+name: whisper_small_macedonian_pipeline
+date: 2024-09-22
+tags: [mk, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: mk
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_macedonian_pipeline` is a Macedonian model originally trained by goran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_macedonian_pipeline_mk_5.5.0_3.0_1726995085225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_macedonian_pipeline_mk_5.5.0_3.0_1726995085225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_macedonian_pipeline", lang = "mk")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_macedonian_pipeline", lang = "mk")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_macedonian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mk|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/goran/whisper-small.mk
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_mongolian_dorjzodovsuren_mn.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_mongolian_dorjzodovsuren_mn.md
new file mode 100644
index 00000000000000..46ed2d38a53e0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_mongolian_dorjzodovsuren_mn.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Mongolian whisper_small_mongolian_dorjzodovsuren WhisperForCTC from Dorjzodovsuren
+author: John Snow Labs
+name: whisper_small_mongolian_dorjzodovsuren
+date: 2024-09-22
+tags: [mn, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: mn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_mongolian_dorjzodovsuren` is a Mongolian model originally trained by Dorjzodovsuren.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_mongolian_dorjzodovsuren_mn_5.5.0_3.0_1726997069151.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_mongolian_dorjzodovsuren_mn_5.5.0_3.0_1726997069151.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_persian_farsi_javadr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|fa|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/javadr/whisper-small-fa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_persian_farsi_javadr_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_persian_farsi_javadr_pipeline_fa.md
new file mode 100644
index 00000000000000..8e289663765457
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_persian_farsi_javadr_pipeline_fa.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Persian whisper_small_persian_farsi_javadr_pipeline pipeline WhisperForCTC from javadr
+author: John Snow Labs
+name: whisper_small_persian_farsi_javadr_pipeline
+date: 2024-09-22
+tags: [fa, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_persian_farsi_javadr_pipeline` is a Persian model originally trained by javadr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_persian_farsi_javadr_pipeline_fa_5.5.0_3.0_1726995019059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_persian_farsi_javadr_pipeline_fa_5.5.0_3.0_1726995019059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_persian_farsi_javadr_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_persian_farsi_javadr_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_persian_farsi_javadr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/javadr/whisper-small-fa
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_serbian_combined_pipeline_sr.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_serbian_combined_pipeline_sr.md
new file mode 100644
index 00000000000000..1baad796b30a2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_serbian_combined_pipeline_sr.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Serbian whisper_small_serbian_combined_pipeline pipeline WhisperForCTC from Sagicc
+author: John Snow Labs
+name: whisper_small_serbian_combined_pipeline
+date: 2024-09-22
+tags: [sr, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: sr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_serbian_combined_pipeline` is a Serbian model originally trained by Sagicc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_serbian_combined_pipeline_sr_5.5.0_3.0_1726994926452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_serbian_combined_pipeline_sr_5.5.0_3.0_1726994926452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_serbian_combined_pipeline", lang = "sr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_serbian_combined_pipeline", lang = "sr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_serbian_combined_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|sr|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Sagicc/whisper-small-sr-combined
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_serbian_combined_sr.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_serbian_combined_sr.md
new file mode 100644
index 00000000000000..dbd759aae0d394
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_serbian_combined_sr.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Serbian whisper_small_serbian_combined WhisperForCTC from Sagicc
+author: John Snow Labs
+name: whisper_small_serbian_combined
+date: 2024-09-22
+tags: [sr, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: sr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_serbian_combined` is a Serbian model originally trained by Sagicc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_serbian_combined_sr_5.5.0_3.0_1726994849214.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_serbian_combined_sr_5.5.0_3.0_1726994849214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_spanish_kevincrb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|es|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/KevinCRB/whisper-small-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_spanish_kevincrb_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_spanish_kevincrb_pipeline_es.md
new file mode 100644
index 00000000000000..ed7906beca3f04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_spanish_kevincrb_pipeline_es.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Castilian, Spanish whisper_small_spanish_kevincrb_pipeline pipeline WhisperForCTC from KevinCRB
+author: John Snow Labs
+name: whisper_small_spanish_kevincrb_pipeline
+date: 2024-09-22
+tags: [es, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_spanish_kevincrb_pipeline` is a Castilian, Spanish model originally trained by KevinCRB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_spanish_kevincrb_pipeline_es_5.5.0_3.0_1726982195496.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_spanish_kevincrb_pipeline_es_5.5.0_3.0_1726982195496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_spanish_kevincrb_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_spanish_kevincrb_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_spanish_kevincrb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/KevinCRB/whisper-small-es
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_tamil_steja_pipeline_ta.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_tamil_steja_pipeline_ta.md
new file mode 100644
index 00000000000000..e662841be2f83a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_tamil_steja_pipeline_ta.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Tamil whisper_small_tamil_steja_pipeline pipeline WhisperForCTC from steja
+author: John Snow Labs
+name: whisper_small_tamil_steja_pipeline
+date: 2024-09-22
+tags: [ta, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ta
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_tamil_steja_pipeline` is a Tamil model originally trained by steja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_tamil_steja_pipeline_ta_5.5.0_3.0_1726983559495.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_tamil_steja_pipeline_ta_5.5.0_3.0_1726983559495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_tamil_steja_pipeline", lang = "ta")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_tamil_steja_pipeline", lang = "ta")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_tamil_steja_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ta|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/steja/whisper-small-tamil
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_uoseftalaat_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_uoseftalaat_en.md
new file mode 100644
index 00000000000000..7b004ffee1ceac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_uoseftalaat_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_uoseftalaat WhisperForCTC from uoseftalaat
+author: John Snow Labs
+name: whisper_small_uoseftalaat
+date: 2024-09-22
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_uoseftalaat` is a English model originally trained by uoseftalaat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_uoseftalaat_en_5.5.0_3.0_1726997256931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_uoseftalaat_en_5.5.0_3.0_1726997256931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_uoseftalaat|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/uoseftalaat/whisper-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_uoseftalaat_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_uoseftalaat_pipeline_en.md
new file mode 100644
index 00000000000000..7a318e4635eb6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_uoseftalaat_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_uoseftalaat_pipeline pipeline WhisperForCTC from uoseftalaat
+author: John Snow Labs
+name: whisper_small_uoseftalaat_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_uoseftalaat_pipeline` is a English model originally trained by uoseftalaat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_uoseftalaat_pipeline_en_5.5.0_3.0_1726997335760.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_uoseftalaat_pipeline_en_5.5.0_3.0_1726997335760.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_uoseftalaat_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_uoseftalaat_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_uoseftalaat_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/uoseftalaat/whisper-small
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_tamil_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_tamil_v2_pipeline_en.md
new file mode 100644
index 00000000000000..5847ad92cf8f8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_tamil_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tamil_v2_pipeline pipeline WhisperForCTC from tamilnlpSLIIT
+author: John Snow Labs
+name: whisper_tamil_v2_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tamil_v2_pipeline` is a English model originally trained by tamilnlpSLIIT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tamil_v2_pipeline_en_5.5.0_3.0_1726994158336.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tamil_v2_pipeline_en_5.5.0_3.0_1726994158336.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tamil_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tamil_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tamil_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.1 MB|
+
+## References
+
+https://huggingface.co/tamilnlpSLIIT/whisper-ta-v2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_tiny_final_cafet_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_tiny_final_cafet_en.md
new file mode 100644
index 00000000000000..5124ff12e7ff9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_tiny_final_cafet_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_final_cafet WhisperForCTC from Cafet
+author: John Snow Labs
+name: whisper_tiny_final_cafet
+date: 2024-09-22
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_final_cafet` is a English model originally trained by Cafet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_final_cafet_en_5.5.0_3.0_1726983621589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_final_cafet_en_5.5.0_3.0_1726983621589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_final_cafet|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.6 MB|
+
+## References
+
+https://huggingface.co/Cafet/whisper-tiny-final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_tiny_finetuned_minds14_english_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_tiny_finetuned_minds14_english_v2_pipeline_en.md
new file mode 100644
index 00000000000000..cd0522c8296b65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_tiny_finetuned_minds14_english_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_finetuned_minds14_english_v2_pipeline pipeline WhisperForCTC from vineetsharma
+author: John Snow Labs
+name: whisper_tiny_finetuned_minds14_english_v2_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_finetuned_minds14_english_v2_pipeline` is a English model originally trained by vineetsharma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_finetuned_minds14_english_v2_pipeline_en_5.5.0_3.0_1726981250710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_finetuned_minds14_english_v2_pipeline_en_5.5.0_3.0_1726981250710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_finetuned_minds14_english_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_finetuned_minds14_english_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_finetuned_minds14_english_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/vineetsharma/whisper-tiny-finetuned-minds14-en-v2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_tiny_minds14_english_us_ghassenhannachi_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_tiny_minds14_english_us_ghassenhannachi_en.md
new file mode 100644
index 00000000000000..b7d4d1e6325f73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_tiny_minds14_english_us_ghassenhannachi_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_minds14_english_us_ghassenhannachi WhisperForCTC from ghassenhannachi
+author: John Snow Labs
+name: whisper_tiny_minds14_english_us_ghassenhannachi
+date: 2024-09-22
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds14_english_us_ghassenhannachi` is a English model originally trained by ghassenhannachi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_us_ghassenhannachi_en_5.5.0_3.0_1726994995336.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_us_ghassenhannachi_en_5.5.0_3.0_1726994995336.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds14_olegs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/olegs/whisper-tiny-minds14
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_arned_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_arned_en.md
new file mode 100644
index 00000000000000..6162793497f444
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_arned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_arned XlmRoBertaForTokenClassification from ArneD
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_arned
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_arned` is a English model originally trained by ArneD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_arned_en_5.5.0_3.0_1726969941698.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_arned_en_5.5.0_3.0_1726969941698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_arned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/ArneD/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_arned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_arned_pipeline_en.md
new file mode 100644
index 00000000000000..8f5aec9a6dd0f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_arned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_arned_pipeline pipeline XlmRoBertaForTokenClassification from ArneD
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_arned_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_arned_pipeline` is a English model originally trained by ArneD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_arned_pipeline_en_5.5.0_3.0_1726970003011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_arned_pipeline_en_5.5.0_3.0_1726970003011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_arned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_arned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_arned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/ArneD/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_obong_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_obong_en.md
new file mode 100644
index 00000000000000..2cf3966d789969
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_obong_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_obong XlmRoBertaForTokenClassification from obong
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_obong
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_obong` is a English model originally trained by obong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_obong_en_5.5.0_3.0_1726969816626.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_obong_en_5.5.0_3.0_1726969816626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_obong|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/obong/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_obong_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_obong_pipeline_en.md
new file mode 100644
index 00000000000000..9c4a0d52f65875
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_obong_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_obong_pipeline pipeline XlmRoBertaForTokenClassification from obong
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_obong_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_obong_pipeline` is a English model originally trained by obong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_obong_pipeline_en_5.5.0_3.0_1726969878251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_obong_pipeline_en_5.5.0_3.0_1726969878251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_obong_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_obong_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_obong_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/obong/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_english_chaoli_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_english_chaoli_en.md
new file mode 100644
index 00000000000000..750f76d38bef65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_english_chaoli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_chaoli XlmRoBertaForTokenClassification from ChaoLi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_chaoli
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_chaoli` is a English model originally trained by ChaoLi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_chaoli_en_5.5.0_3.0_1726970258472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_chaoli_en_5.5.0_3.0_1726970258472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_chaoli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/ChaoLi/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_english_chaoli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_english_chaoli_pipeline_en.md
new file mode 100644
index 00000000000000..d2470f680b14a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_english_chaoli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_chaoli_pipeline pipeline XlmRoBertaForTokenClassification from ChaoLi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_chaoli_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_chaoli_pipeline` is a English model originally trained by ChaoLi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_chaoli_pipeline_en_5.5.0_3.0_1726970354138.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_chaoli_pipeline_en_5.5.0_3.0_1726970354138.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_chaoli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_chaoli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_chaoli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/ChaoLi/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_french_sponomary_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_french_sponomary_en.md
new file mode 100644
index 00000000000000..df8ebdc8ce26d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_french_sponomary_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_sponomary XlmRoBertaForTokenClassification from sponomary
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_sponomary
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_sponomary` is a English model originally trained by sponomary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_sponomary_en_5.5.0_3.0_1726970904759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_sponomary_en_5.5.0_3.0_1726970904759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_sponomary|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/sponomary/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_french_sponomary_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_french_sponomary_pipeline_en.md
new file mode 100644
index 00000000000000..e6ffb21fadc6ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_french_sponomary_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_sponomary_pipeline pipeline XlmRoBertaForTokenClassification from sponomary
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_sponomary_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_sponomary_pipeline` is a English model originally trained by sponomary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_sponomary_pipeline_en_5.5.0_3.0_1726970978524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_sponomary_pipeline_en_5.5.0_3.0_1726970978524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_sponomary_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_sponomary_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_sponomary_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/sponomary/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_daiwenbin_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_daiwenbin_en.md
new file mode 100644
index 00000000000000..9de9bc7cf017ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_daiwenbin_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_daiwenbin XlmRoBertaForTokenClassification from daiwenbin
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_daiwenbin
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_daiwenbin` is a English model originally trained by daiwenbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_daiwenbin_en_5.5.0_3.0_1726970967385.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_daiwenbin_en_5.5.0_3.0_1726970967385.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_daiwenbin|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/daiwenbin/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_daiwenbin_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_daiwenbin_pipeline_en.md
new file mode 100644
index 00000000000000..6c786eed8f0dd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_daiwenbin_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_daiwenbin_pipeline pipeline XlmRoBertaForTokenClassification from daiwenbin
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_daiwenbin_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_daiwenbin_pipeline` is a English model originally trained by daiwenbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_daiwenbin_pipeline_en_5.5.0_3.0_1726971031155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_daiwenbin_pipeline_en_5.5.0_3.0_1726971031155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_daiwenbin_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_daiwenbin_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_daiwenbin_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/daiwenbin/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_athairus_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_athairus_en.md
new file mode 100644
index 00000000000000..51c4d53db98c9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_athairus_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_athairus XlmRoBertaForTokenClassification from athairus
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_athairus
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_athairus` is a English model originally trained by athairus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_athairus_en_5.5.0_3.0_1726970258084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_athairus_en_5.5.0_3.0_1726970258084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_athairus|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/athairus/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_athairus_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_athairus_pipeline_en.md
new file mode 100644
index 00000000000000..3cd375c8328621
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_athairus_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_athairus_pipeline pipeline XlmRoBertaForTokenClassification from athairus
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_athairus_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_athairus_pipeline` is a English model originally trained by athairus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_athairus_pipeline_en_5.5.0_3.0_1726970325027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_athairus_pipeline_en_5.5.0_3.0_1726970325027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_athairus_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_athairus_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_athairus_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/athairus/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_malduwais_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_malduwais_en.md
new file mode 100644
index 00000000000000..8596ae1b2b927c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_malduwais_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_malduwais XlmRoBertaForTokenClassification from malduwais
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_malduwais
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_malduwais` is a English model originally trained by malduwais.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_malduwais_en_5.5.0_3.0_1726970594528.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_malduwais_en_5.5.0_3.0_1726970594528.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_malduwais|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.4 MB|
+
+## References
+
+https://huggingface.co/malduwais/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_malduwais_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_malduwais_pipeline_en.md
new file mode 100644
index 00000000000000..05d7f4f82fefaf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_malduwais_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_malduwais_pipeline pipeline XlmRoBertaForTokenClassification from malduwais
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_malduwais_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_malduwais_pipeline` is a English model originally trained by malduwais.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_malduwais_pipeline_en_5.5.0_3.0_1726970653599.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_malduwais_pipeline_en_5.5.0_3.0_1726970653599.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_malduwais_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_malduwais_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_malduwais_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.4 MB|
+
+## References
+
+https://huggingface.co/malduwais/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_zeronin7_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_zeronin7_en.md
new file mode 100644
index 00000000000000..11734f2d60c165
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_french_zeronin7_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_zeronin7 XlmRoBertaForTokenClassification from zeronin7
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_zeronin7
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_zeronin7` is a English model originally trained by zeronin7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_zeronin7_en_5.5.0_3.0_1726969840493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_zeronin7_en_5.5.0_3.0_1726969840493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_zeronin7|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/zeronin7/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_jb723_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_jb723_en.md
new file mode 100644
index 00000000000000..81cb382cfd0e48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_jb723_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_jb723 XlmRoBertaForTokenClassification from jb723
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_jb723
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_jb723` is a English model originally trained by jb723.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_jb723_en_5.5.0_3.0_1726970802529.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_jb723_en_5.5.0_3.0_1726970802529.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_jb723|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|854.4 MB|
+
+## References
+
+https://huggingface.co/jb723/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_jb723_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_jb723_pipeline_en.md
new file mode 100644
index 00000000000000..2abf5def2f7a3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_jb723_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_jb723_pipeline pipeline XlmRoBertaForTokenClassification from jb723
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_jb723_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_jb723_pipeline` is a English model originally trained by jb723.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_jb723_pipeline_en_5.5.0_3.0_1726970861243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_jb723_pipeline_en_5.5.0_3.0_1726970861243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_jb723_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_jb723_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_jb723_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|854.4 MB|
+
+## References
+
+https://huggingface.co/jb723/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_natrajanv_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_natrajanv_en.md
new file mode 100644
index 00000000000000..ff3ec63b5d9ce7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_natrajanv_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_natrajanv XlmRoBertaForTokenClassification from natrajanv
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_natrajanv
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_natrajanv` is a English model originally trained by natrajanv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_natrajanv_en_5.5.0_3.0_1726970451330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_natrajanv_en_5.5.0_3.0_1726970451330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_natrajanv|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|841.2 MB|
+
+## References
+
+https://huggingface.co/natrajanv/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_natrajanv_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_natrajanv_pipeline_en.md
new file mode 100644
index 00000000000000..1d9c790edb0984
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_natrajanv_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_natrajanv_pipeline pipeline XlmRoBertaForTokenClassification from natrajanv
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_natrajanv_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_natrajanv_pipeline` is a English model originally trained by natrajanv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_natrajanv_pipeline_en_5.5.0_3.0_1726970531610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_natrajanv_pipeline_en_5.5.0_3.0_1726970531610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_natrajanv_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_natrajanv_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_natrajanv_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|841.2 MB|
+
+## References
+
+https://huggingface.co/natrajanv/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_sh_zheng_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_sh_zheng_pipeline_en.md
new file mode 100644
index 00000000000000..cda4599e0715a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_sh_zheng_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_sh_zheng_pipeline pipeline XlmRoBertaForTokenClassification from sh-zheng
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_sh_zheng_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_sh_zheng_pipeline` is a English model originally trained by sh-zheng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_sh_zheng_pipeline_en_5.5.0_3.0_1726970755427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_sh_zheng_pipeline_en_5.5.0_3.0_1726970755427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_sh_zheng_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_sh_zheng_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_sh_zheng_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/sh-zheng/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_tirendaz_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_tirendaz_en.md
new file mode 100644
index 00000000000000..b234af5bd2c282
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_tirendaz_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_tirendaz XlmRoBertaForTokenClassification from Tirendaz
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_tirendaz
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_tirendaz` is a English model originally trained by Tirendaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_tirendaz_en_5.5.0_3.0_1726971061078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_tirendaz_en_5.5.0_3.0_1726971061078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_tirendaz|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|840.3 MB|
+
+## References
+
+https://huggingface.co/Tirendaz/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_tirendaz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_tirendaz_pipeline_en.md
new file mode 100644
index 00000000000000..0ae1ca2346e345
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_german_tirendaz_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_tirendaz_pipeline pipeline XlmRoBertaForTokenClassification from Tirendaz
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_tirendaz_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_tirendaz_pipeline` is a English model originally trained by Tirendaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_tirendaz_pipeline_en_5.5.0_3.0_1726971140160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_tirendaz_pipeline_en_5.5.0_3.0_1726971140160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_tirendaz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_tirendaz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_tirendaz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.3 MB|
+
+## References
+
+https://huggingface.co/Tirendaz/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_italian_k3lana_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_italian_k3lana_en.md
new file mode 100644
index 00000000000000..5cc1e5f7c120a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_italian_k3lana_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_k3lana XlmRoBertaForTokenClassification from k3lana
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_k3lana
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_k3lana` is a English model originally trained by k3lana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_k3lana_en_5.5.0_3.0_1726970446487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_k3lana_en_5.5.0_3.0_1726970446487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_k3lana|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|828.6 MB|
+
+## References
+
+https://huggingface.co/k3lana/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_xnli_german_trimmed_german_30000_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_xnli_german_trimmed_german_30000_en.md
new file mode 100644
index 00000000000000..5acf6b365d1dde
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_xnli_german_trimmed_german_30000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_xnli_german_trimmed_german_30000 XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_xnli_german_trimmed_german_30000
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_xnli_german_trimmed_german_30000` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_german_trimmed_german_30000_en_5.5.0_3.0_1727009352775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_xnli_german_trimmed_german_30000_en_5.5.0_3.0_1727009352775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_xnli_german_trimmed_german_30000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|406.2 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-de-trimmed-de-30000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlmr_english_chinese_all_shuffled_42_test1000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlmr_english_chinese_all_shuffled_42_test1000_pipeline_en.md
new file mode 100644
index 00000000000000..27c5fbde06cb54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlmr_english_chinese_all_shuffled_42_test1000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlmr_english_chinese_all_shuffled_42_test1000_pipeline pipeline XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_english_chinese_all_shuffled_42_test1000_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_english_chinese_all_shuffled_42_test1000_pipeline` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_english_chinese_all_shuffled_42_test1000_pipeline_en_5.5.0_3.0_1727009365740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_english_chinese_all_shuffled_42_test1000_pipeline_en_5.5.0_3.0_1727009365740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmr_english_chinese_all_shuffled_42_test1000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmr_english_chinese_all_shuffled_42_test1000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_english_chinese_all_shuffled_42_test1000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|827.0 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-en-zh-all_shuffled-42-test1000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file